Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/mikeroyal/Kubernetes-Guide
Kubernetes Guide. Learn all about Kubernetes monitoring, networking, and containers. Whether you're running Kubernetes Locally or in the Cloud ( Azure, AWS, and GCP).
https://github.com/mikeroyal/Kubernetes-Guide
awesome-lists cloud-computing gke istio k3s k8s kubeadm kubectl kubeflow kubernetes kubernetes-cluster kubernetes-controller kubernetes-deployment kubernetes-monitoring kubernetes-operator kubernetes-setup minikube rancher thanos wsl2
Last synced: 3 months ago
JSON representation
Kubernetes Guide. Learn all about Kubernetes monitoring, networking, and containers. Whether you're running Kubernetes Locally or in the Cloud ( Azure, AWS, and GCP).
- Host: GitHub
- URL: https://github.com/mikeroyal/Kubernetes-Guide
- Owner: mikeroyal
- Created: 2020-10-07T20:23:39.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-01-04T22:48:10.000Z (10 months ago)
- Last Synced: 2024-07-10T13:12:10.698Z (4 months ago)
- Topics: awesome-lists, cloud-computing, gke, istio, k3s, k8s, kubeadm, kubectl, kubeflow, kubernetes, kubernetes-cluster, kubernetes-controller, kubernetes-deployment, kubernetes-monitoring, kubernetes-operator, kubernetes-setup, minikube, rancher, thanos, wsl2
- Language: Go
- Homepage:
- Size: 446 KB
- Stars: 195
- Watchers: 11
- Forks: 35
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: Contributing.md
- Security: Security Glossary.md
Awesome Lists containing this project
README
Kubernetes Guide
#### A guide covering Kubernetes including the applications and tools that will make you a better and more efficient Kubernetes developer.
**Note: You can easily convert this markdown file to a PDF in [VSCode](https://code.visualstudio.com/) using this handy extension [Markdown PDF](https://marketplace.visualstudio.com/items?itemName=yzane.markdown-pdf).**
# Table of Contents
1. [Getting Started with Kubernetes](#getting-started-with-kubernetes)
- [Developer Resources](#developer-resources)
- [Kubernetes Courses & Certifications](#kubernetes-courses--certifications)
- [Books](#kubernetes-books)
- [YouTube Tutorials](#youtube-tutorials)
- [Red Hat CodeReady Containers (CRC) OpenShift on WSL](#red-Hat-CodeReady-Containers-CRC-on-wsl)
- [Setting up Podman on WSL](#setting-up-podman-on-wsl)
- [Setting up Buildah on WSL](#setting-up-buildah-on-wsl)
- [Installing Kubernetes on WSL with Rancher Desktop](#installing-kubernetes-on-wsl-with-rancher-desktop)
- [Installing Kubernetes on WSL with Docker Desktop](#installing-kubernetes-on-wsl-with-docker-desktop)
- [Installing Kubernetes on WSL with Microk8s](#installing-kubernetes-on-wsl-with-microk8s)
2. [Kubernetes Tools and Projects](#kubernetes-tools-and-projects)
* [Getting Started with OpenShift](#getting-started-with-openshift)
* [What is OpenShift?](#what-is-openshift)
* [OpenShift Developer Resources](#openshift-developer-resources)
* [Source-to-Image(S2I) images for buildng your Apps](#source-to-image-s2i-images-for-programmingbuildng-your-apps)
* [Java](#Java)
* [Python](#Python)
* [Golang](#Golang)
* [Ruby](#Ruby)
* [.NET Core](#net-core)
* [Node.js](#Nodejs)
* [Perl](#Perl)
* [PHP](#PHP)
* [Builder Images for setting up Databases](#builder-images-for-setting-up-Databases)
* [MySQL](#mysql)
* [PostgreSQL](#postgresql)
* [MongoDB](#mongodb)
* [MariaDB](#mariadb)
* [Redis](#redis)
* [Setting up Openshift on Microsoft Azure](#setting-up-on-Microsoft-Azure)
* [Setting up Openshift on Google Cloud Platform (GCP)](#setting-up-on-Google-Cloud-GCP)
* [Setting up Red Hat OpenShift Data Science](#setting-up-Red-Hat-OpenShift-Data-Science)
* [Setting up Red Hat CodeReady Containers (CRC) OpenShift](#red-Hat-CodeReady-Containers-CRC)
* [Setting up Podman](#setting-up-podman)
* [Setting up Buildah](#setting-up-buildah)
* [Setting up Skopeo](#setting-up-skopeo)
* [File systems](#file-systems)
* [OpenShift Tools](#openshift-tools)
3. [Go Development](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#go-development)
4. [Python Development](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#python-development)
5. [Bash/PowerShell Development](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#bashpowershell-development)
6. [Machine Learning](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#machine-learning)
7. [Networking](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#networking)
8. [Databases](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#databases)
9. [Telco 5G](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#telco-5g)
10. [Open Source Security](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#open-source-security)
- [Security Tutorials & Resources](#Security-Tutorials--Resources)
- [Security Cerifications](#Security-Cerifications)
# Getting Started with Kubernetes
[Back to the Top](#table-of-contents)
[Kubernetes (K8s)](https://kubernetes.io/) is an open-source system for automating deployment, scaling, and management of containerized applications.
**Building Highly-Availability(HA) Clusters with kubeadm. Source: [Kubernetes.io](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/)**
### Developer Resources
[Back to the Top](#table-of-contents)
- [Kubernetes Certifications](https://kubernetes.io/training/)
- [Getting started with Kubernetes on AWS](https://aws.amazon.com/kubernetes/)
- [Kubernetes on Microsoft Azure](https://azure.microsoft.com/en-us/topic/what-is-kubernetes/)
- [Intro to Azure Kubernetes Service](https://docs.microsoft.com/en-us/azure/aks/kubernetes-dashboard)
- [Getting started with Google Cloud](https://cloud.google.com/learn/what-is-kubernetes)
- [Azure Red Hat OpenShift ](https://azure.microsoft.com/en-us/services/openshift/)
- [Getting started with Kubernetes on Red Hat](https://www.redhat.com/en/topics/containers/what-is-kubernetes)
- [Getting started with Kubernetes on IBM](https://www.ibm.com/cloud/learn/kubernetes)
- [Red Hat OpenShift on IBM Cloud](https://www.ibm.com/cloud/openshift)
- [Kubernetes Contributors](https://www.kubernetes.dev/)
- [Kubernetes Tutorials from Pulumi](https://www.pulumi.com/docs/tutorials/kubernetes/)
- [Enable OpenShift Virtualization on Red Hat OpenShift](https://developers.redhat.com/blog/2020/08/28/enable-openshift-virtualization-on-red-hat-openshift/)
- [YAML basics in Kubernetes](https://developer.ibm.com/technologies/containers/tutorials/yaml-basics-and-usage-in-kubernetes/)
- [Elastic Cloud on Kubernetes](https://www.elastic.co/elastic-cloud-kubernetes)
- [Docker and Kubernetes](https://www.docker.com/products/kubernetes)
- [Running Apache Spark on Kubernetes](http://spark.apache.org/docs/latest/running-on-kubernetes.html)
- [Kubernetes Across VMware vRealize Automation](https://blogs.vmware.com/management/2019/06/kubernetes-across-vmware-cloud-automation-services.html)
- [VMware Tanzu Kubernetes Grid](https://tanzu.vmware.com/kubernetes-grid)
- [All the Ways VMware Tanzu Works with AWS](https://tanzu.vmware.com/content/blog/all-the-ways-vmware-tanzutm-works-with-aws)
- [Using Ansible in a Cloud-Native Kubernetes Environment](https://www.ansible.com/blog/how-useful-is-ansible-in-a-cloud-native-kubernetes-environment)
- [Managing Kubernetes (K8s) objects with Ansible](https://docs.ansible.com/ansible/latest/collections/community/kubernetes/k8s_module.html)
- [Setting up a Kubernetes cluster using Vagrant and Ansible](https://kubernetes.io/blog/2019/03/15/kubernetes-setup-using-ansible-and-vagrant/)
- [Running MongoDB with Kubernetes](https://www.mongodb.com/kubernetes)
- [Kubernetes Fluentd](https://docs.fluentd.org/v/0.12/articles/kubernetes-fluentd)
- [Understanding the new GitLab Kubernetes Agent](https://about.gitlab.com/blog/2020/09/22/introducing-the-gitlab-kubernetes-agent/)
- [Intro Local Process with Kubernetes for Visual Studio 2019](https://devblogs.microsoft.com/visualstudio/introducing-local-process-with-kubernetes-for-visual-studio%E2%80%AF2019/)
- [Kubernetes Playground by Katacoda](https://www.katacoda.com/courses/kubernetes/playground)
### Kubernetes Courses & Certifications
[Back to the Top](#table-of-contents)
- [Kubernetes Training & Certifications](https://kubernetes.io/training/)
- [Top Kubernetes Courses Online | Coursera](https://www.coursera.org/courses?query=kubernetes)
- [Top Kubernetes Courses Online | Udemy](https://www.udemy.com/topic/kubernetes/)
- [Kubernetes Courses - IBM Developer](https://developer.ibm.com/components/kubernetes/courses/)
- [Introduction to Kubernetes Courses | edX](https://www.edx.org/course/introduction-to-kubernetes)
- [VMware Tanzu Education](https://tanzu.vmware.com/education)
- [KubeAcademy from VMware](https://kube.academy/)
- [Online Kubernetes Course: Beginners Guide to Kubernetes | Pluralsight](https://www.pluralsight.com/courses/getting-started-kubernetes)
- [Getting Started with Google Kubernetes Engine | Pluralsight](https://www.pluralsight.com/courses/getting-started-google-kubernetes-engine-8)
- [Scalable Microservices with Kubernetes course from Udacity](https://www.udacity.com/course/scalable-microservices-with-kubernetes--ud615)
### Kubernetes Books
[Back to the Top](#table-of-contents)
- [Kubernetes for Full-Stack Developers by Digital Ocean](https://assets.digitalocean.com/books/kubernetes-for-full-stack-developers.pdf)
- [Kubernetes Patterns - Red Hat](https://www.redhat.com/cms/managed-files/cm-oreilly-kubernetes-patterns-ebook-f19824-201910-en.pdf)
- [The Ultimate Guide to Kubernetes Deployments with Octopus](https://i.octopus.com/books/kubernetes-book.pdf)
- [Learng Kubernetes (PDF)](https://riptutorial.com/Download/kubernetes.pdf)
- [Certified Kubernetes Administrator (CKA) Study Guide: In-Depth Guidance and Practice](https://www.amazon.com/Certified-Kubernetes-Administrator-Study-Depth/dp/1098107225/ref=sr_1_29?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-29)
- [Quick Start Kubernetes by Nigel Poulton (2022)](https://www.amazon.com/Quick-Start-Kubernetes-Nigel-Poulton-ebook/dp/B08T21NW4Z/ref=sr_1_18?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-18)
- [The Kubernetes Book by Nigel Poulton (2022)](https://www.amazon.com/Kubernetes-Book-Version-November-2018-ebook/dp/B072TS9ZQZ/ref=sr_1_4?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-4)
- [Kubernetes: Up and Running: Dive into the Future of Infrastructure](https://www.amazon.com/Kubernetes-Running-Dive-Future-Infrastructure/dp/1492046531/ref=sr_1_5?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-5)
- [Kubernetes and Docker - An Enterprise Guide: Effectively containerize applications, integrate enterprise systems, and scale applications in your enterprise](https://www.amazon.com/Kubernetes-Docker-Effectively-containerize-applications/dp/183921340X/ref=sr_1_24?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-24)
- [Kubernetes in Action](https://www.amazon.com/Kubernetes-Action-Marko-Luksa/dp/1617293725/ref=sr_1_7?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-7)
- [Kubernetes – An Enterprise Guide: Effectively containerize applications, integrate enterprise systems, and scale](https://www.amazon.com/Kubernetes-Enterprise-Effectively-containerize-applications/dp/1803230037/ref=sr_1_6?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-6)
- [Production Kubernetes: Building Successful Application Platforms](https://www.amazon.com/Production-Kubernetes-Successful-Application-Platforms/dp/1492092304/ref=sr_1_8?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-8)
- [The Kubernetes Bible: The definitive guide to deploying and managing Kubernetes across major cloud platforms](https://www.amazon.com/Kubernetes-Bible-definitive-deploying-platforms/dp/1838827692/ref=sr_1_16?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-16)
- [Networking and Kubernetes: A Layered Approach](https://www.amazon.com/Networking-Kubernetes-Approach-James-Strong/dp/1492081655/ref=sr_1_12?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-12)
- [Kubernetes Best Practices: Blueprints for Building Successful Applications on Kubernetes](https://www.amazon.com/Kubernetes-Best-Practices-Blueprints-Applications/dp/1492056472/ref=sr_1_19?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-19)
- [Kubernetes Security and Observability: A Holistic Approach to Securing Containers and Cloud Native Apps](https://www.amazon.com/Kubernetes-Security-Observability-Containers-Applications/dp/1098107101/ref=sr_1_26?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-26)
- [Hands-on Kubernetes on Azure: Use Azure Kubernetes Service to automate management, scaling, and deployment of containerized apps](https://www.amazon.com/Hands-Kubernetes-Azure-containerized-applications-ebook/dp/B095H26VFY/ref=sr_1_11?crid=15963283P4C0V&keywords=kubernetes&qid=1653935057&s=books&sprefix=kubernetes%2Cstripbooks%2C174&sr=1-11)
### YouTube Tutorials
[Back to the Top](#table-of-contents)
[](https://www.youtube.com/watch?v=kGrpLKNi4ZI)
[](https://www.youtube.com/watch?v=Oe_mhDtb22M)
[](https://www.youtube.com/watch?v=vxtq_pJp7_A)
[](https://www.youtube.com/watch?v=S8eX0MxfnB4)
[](https://www.youtube.com/watch?v=d6WC5n9G_sM)
[](https://www.youtube.com/watch?v=VnvRFRk_51k)
[](https://www.youtube.com/watch?v=wXuSqFJVNQA)
[](https://www.youtube.com/watch?v=kTp5xUtcalw)
[](https://www.youtube.com/watch?v=PziYflu8cB8)
[](https://www.youtube.com/watch?v=n-fAf2mte6M)
### Red Hat CodeReady Containers (CRC) on WSL
[Back to the Top](#table-of-contents)
[Red Hat CodeReady Containers (CRC)](https://developers.redhat.com/content-gateway/rest/mirror/pub/openshift-v4/clients/crc/2.9.0) is a tool that provides a minimal, preconfigured OpenShift 4 cluster on a laptop or desktop machine for development and testing purposes. CRC is delivered as a platform inside of the VM.
* **odo (OpenShift Do)**, a CLI tool for developers, to manage application components on the OpenShift Container Platform.
**System Requirements:**
* **OS:** CentOS Stream 8/RHEL 8/Fedora or later (the latest 2 releases).
* **Download:** [pull-secret](https://cloud.redhat.com/openshift/install/crc/installer-provisioned?intcmp=701f20000012ngPAAQ)
* **Login:** [Red Hat account](https://access.redhat.com/login)
**Other physical requirements include:**
* Four virtual CPUs (**4 vCPUs**)
* 10GB of memory (**RAM**)
* 40GB of storage space
**To set up CodeReady Containers, start by creating the ```crc``` directory, and then download and extract the ```crc``` package:**
```mkdir /home//crc```
```wget https://mirror.openshift.com/pub/openshift-v4/clients/crc/latest/crc-linux-amd64.tar.xz```
```tar -xvf crc-linux-amd64.tar.xz```
**Next, move the files to the crc directory and remove the downloaded package(s):**
```mv /home//crc-linux--amd64/* /home//crc```
```rm /home//crc-linux-amd64.tar.xz```
```rm -r /home//crc-linux--amd64```
**Change to the ```crc``` directory, make ```crc``` executable, and export your ```PATH``` like this:**
```cd /home//crc```
```chmod +x crc```
```export PATH=$PATH:/home//crc```
**Set up and start the cluster:**
```crc setup```
```crc start -p //pull-secret.txt```
**Set up the OC environment:**
```crc oc-env```
```eval $(crc oc-env)```
**Log in as the developer user:**
```oc login -u developer -p developer https://api.crc.testing:6443```
```oc logout```
**And then, log in as the platform’s admin:**
```oc login -u kubeadmin -p password https://api.crc.testing:6443```
```oc logout```
#### Interacting with the cluster. The most common ways include:
**Starting the graphical web console:**
```crc console```
**Display the cluster’s status:**
```crc status```
**Shut down the OpenShift cluster:**
```crc stop```
**Delete or kill the OpenShift cluster:**
```crc delete```
### Setting up Podman on WSL
[Back to the Top](#table-of-contents)
[Podman (the POD manager)](https://podman.io/) is an open source tool for developing, managing, and running containers on your Linux® systems. It also manages the entire container ecosystem using the libpod library. Podman’s daemonless and inclusive architecture makes it a more secure and accessible option for container management, and its accompanying tools and features, such as [Buildah](https://www.redhat.com/en/topics/containers/what-is-buildah) and [Skopeo](https://www.redhat.com/en/topics/containers/what-is-skopeo), allow developers to customize their container environments to best suit their needs.
* Fedora: ```sudo dnf install podman```
* CentOS: ```sudo yum --enablerepo=extras install podman```
* Ubuntu 20.04 or later: ```sudo apt install podman```
* Debian 11 (bullseye) or later, or sid/unstable: ```sudo apt install podman```
* ArchLinux: ```sudo pacman -S podman``` and then tweaks for rootless
Podman
### Setting up Buildah on WSL
[Back to the Top](#table-of-contents)
[Buildah](https://buildah.io/) is an open source, Linux-based tool that can build Docker- and Kubernetes-compatible images, and is easy to incorporate into scripts and build pipelines. In addition, Buildah has overlap functionality with [Podman](https://podman.io/), [Skopeo](https://github.com/containers/skopeo), and [CRI-O](https://cri-o.io/).
* Fedora: ```sudo dnf -y install buildah```
* CentOS: ```sudo yum --enablerepo=extras install buildah```
* Ubuntu 20.04 or later: ```sudo apt install buildah```
* Debian 11 (bullseye) or later, or sid/unstable: ```sudo apt install -y buildah```
* ArchLinux: ```sudo pacman -S buildah``` and then tweaks for rootless
Buildah
### Installing Kubernetes on WSL with Rancher Desktop
[Back to the Top](#table-of-contents)
[Rancher Desktop](https://www.rancher.com/products/rancher-desktop) is an open-source desktop application for Mac, Windows and Linux. Rancher Desktop runs Kubernetes and container management on your desktop letting you choose the version of Kubernetes you want to run. It can also build, push, pull, and run container images using either the Docker CLI (with Moby/dockerd) or nerdctl (with containerd).
**Features:**
* Installs a new Linux VM in WSL2 that has a Kubernetes cluster based on [k3s](https://k3s.io/) as well as installs various components in it such as KIM (for building docker images on the cluster) and the [Traefik Ingress Controller](https://traefik.io/solutions/kubernetes-ingress/).
* It installs the kubectl and Helm CLIs on the Windows side linked to them.
* A nice Windows app to manage its settings and help facilitate its upgrades.
Rancher Desktop
Rancher Desktop Kubernetes Settings
#### .deb Dev Repository
```curl -s https://download.opensuse.org/repositories/isv:/Rancher:/dev/deb/Release.key | gpg --dearmor | sudo dd status=none of=/usr/share/keyrings/isv-rancher-dev-archive-keyring.gpg```
```echo 'deb [signed-by=/usr/share/keyrings/isv-rancher-dev-archive-keyring.gpg] https://download.opensuse.org/repositories/isv:/Rancher:/dev/deb/ ./' | sudo dd status=none of=/etc/apt/sources.list.d/isv-rancher-dev.list```
```sudo apt update```
**See available versions**
```apt list -a rancher-desktop```
```sudo apt install rancher-desktop=```
#### .rpm Dev Repository
```sudo zypper addrepo https://download.opensuse.org/repositories/isv:/Rancher:/dev/rpm/isv:Rancher:dev.repo```
```sudo zypper refresh```
**See available versions**
```zypper search -s rancher-desktop```
```zypper install --oldpackage rancher-desktop=```
Rancher Desktop Architecture Overview
### Installing Kubernetes on WSL with Docker Desktop
[Back to the Top](#table-of-contents)
Enable the WSL 2 base engine in Docker Desktop
We also need to set in Resources which WSL2 distribution we want to access Docker from, as shown below using Ubuntu 20.04. Then remember to restart Docker for Windows, and once the restart is complete we can use the docker command from within WSL:
Make sure to use kind as a simple way to run Kubernetes in a container. Here we will install the instructions from the official [Kind website](https://kind.sigs.k8s.io/docs/user/quick-start/).
```curl -Lo ./kind https://github.com/kubernetes-sigs/kind/releases/download/v0.16.0/kind-$(uname)-amd64```
```chmod +x ./kind```
```mv ./kind /usr/local/bin/```
Now that kind is installed, we can create the Kubernetes cluster
```echo $KUBECONFIG```
```ls $HOME/.kube```
```kind create cluster --name wslkube```
```ls $HOME/.kube```
We have successfully created a single-node Kubernetes cluster.
```kubectl get nodes```
```kubectl get all --all-namespaces```
### Installing Kubernetes on WSL with Microk8s
[Back to the Top](#table-of-contents)
* **Note:** This install option requires systemd to be running on WSL
* **WSL Systemd requirements:** Windows 11 and a version of WSL 0.67.6 or above.
[MicroK8s](https://microk8s.io/) is the simplest production-grade upstream Kubernets setup to get up and running.
Installing Microk8s
```sudo snap install microk8s --classic```
Checking the status while Kubernetes starts
```microk8s status --wait-ready```
Turning on the services you want
```microk8s enable dashboard dns registry istio```
Try **microk8s enable --help** for a list of available services and optional features. **microk8s disable ** turns off a service.
Start using Kubernetes
```microk8s kubectl get all --all-namespaces```
If you mainly use MicroK8s you can make our kubectl the default one on your command-line with **alias mkctl="microk8s kubectl"**.
Access the Kubernetes dashboard
```microk8s dashboard-proxy```
# Kubernetes Tools, Frameworks, and Projects
[Back to the Top](#table-of-contents)
[Open Container Initiative](https://opencontainers.org/about/overview/) is an open governance structure for the express purpose of creating open industry standards around container formats and runtimes.
[Buildah](https://buildah.io/) is a command line tool to build Open Container Initiative (OCI) images. It can be used with Docker, Podman, Kubernetes.
[Podman](https://podman.io/) is a daemonless, open source, Linux native tool designed to make it easy to find, run, build, share and deploy applications using Open Containers Initiative (OCI) Containers and Container Images. Podman provides a command line interface (CLI) familiar to anyone who has used the Docker Container Engine.
[Containerd](https://containerd.io) is a daemon that manages the complete container lifecycle of its host system, from image transfer and storage to container execution and supervision to low-level storage to network attachments and beyond. It is available for Linux and Windows.
[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine/) is a managed, production-ready environment for running containerized applications.
[Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-us/services/kubernetes-service/) is serverless Kubernetes, with a integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.
[Amazon EKS](https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html) is a tool that runs Kubernetes control plane instances across multiple Availability Zones to ensure high availability.
[AWS Controllers for Kubernetes (ACK)](https://aws.amazon.com/blogs/containers/aws-controllers-for-kubernetes-ack/) is a new tool that lets you directly manage AWS services from Kubernetes. ACK makes it simple to build scalable and highly-available Kubernetes applications that utilize AWS services.
[Container Engine for Kubernetes (OKE)](https://www.oracle.com/cloud-native/container-engine-kubernetes/) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute.
[Anthos](https://cloud.google.com/anthos/docs/concepts/overview) is a modern application management platform that provides a consistent development and operations experience for cloud and on-premises environments.
[Red Hat Openshift](https://www.openshift.com/) is a fully managed Kubernetes platform that provides a foundation for on-premises, hybrid, and multicloud deployments.
[OKD](https://okd.io/) is a community distribution of Kubernetes optimized for continuous application development and multi-tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.
[Odo](https://odo.dev/) is a fast, iterative, and straightforward CLI tool for developers who write, build, and deploy applications on Kubernetes and OpenShift.
[Kata Operator](https://github.com/openshift/kata-operator) is an operator to perform lifecycle management (install/upgrade/uninstall) of [Kata Runtime](https://katacontainers.io/) on Openshift as well as Kubernetes cluster.
[Thanos](https://thanos.io/) is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.
[OpenShift Hive](https://github.com/openshift/hive) is an operator which runs as a service on top of Kubernetes/OpenShift. The Hive service can be used to provision and perform initial configuration of OpenShift 4 clusters.
[Rook](https://rook.io/) is a tool that turns distributed storage systems into self-managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management.
[VMware Tanzu](https://tanzu.vmware.com/tanzu) is a centralized management platform for consistently operating and securing your Kubernetes infrastructure and modern applications across multiple teams and private/public clouds.
[Kubespray](https://kubespray.io/) is a tool that combines Kubernetes and Ansible to easily install Kubernetes clusters that can be deployed on [AWS](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/aws.md), GCE, [Azure](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/azure.md), [OpenStack](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/openstack.md), [vSphere](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/vsphere.md), [Packet](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/packet.md) (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal.
[KubeInit](https://github.com/kubeinit/kubeinit) provides Ansible playbooks and roles for the deployment and configuration of multiple Kubernetes distributions.
[Rancher](https://rancher.com/) is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads.
[K3s](https://github.com/rancher/k3s) is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances.
[Helm](https://helm.sh/) is a Kubernetes Package Manager tool that makes it easier to install and manage Kubernetes applications.
[Knative](https://knative.dev/) is a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. Knative takes care of the operational overhead details of networking, autoscaling (even to zero), and revision tracking.
[KubeFlow](https://www.kubeflow.org/) is a tool dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.
[Kubebox](https://github.com/astefanutti/kubebox) is a Terminal and Web console for Kubernetes.
[Kubsec](https://github.com/controlplaneio/kubesec) is a Security risk analysis for Kubernetes resources.
[Replex](https://www.replex.io/) is a Kubernetes Governance and Cost Management for the Cloud-Native Enterprise.
[Virtual Kubelet](https://virtual-kubelet.io/) is an open-source [Kubernetes kubelet](https://kubernetes.io/docs/reference/generated/kubelet/) implementation that masquerades as a kubelet.
[Telepresence](https://www.telepresence.io/) is a fast, local development for Kubernetes and OpenShift microservices.
[Weave Scope](https://www.weave.works/oss/scope/) is a tool that automatically detects processes, containers, hosts. No kernel modules, no agents, no special libraries, no coding. It seamless integration with Docker, Kubernetes, DCOS and AWS ECS.
[Nuclio](https://nuclio.io/) is a high-performance "serverless" framework focused on data, I/O, and compute intensive workloads. It is well integrated with popular data science tools, such as [Jupyter](https://jupyter.org/) and [Kubeflow](https://www.kubeflow.org/); supports a variety of data and streaming sources; and supports execution over CPUs and GPUs.
[Supergiant Control](https://github.com/supergiant/control) is a tool that manages the lifecycle of clusters on your infrastructure and allows deployment of applications via HELM. Its deployment and configuration workflows will help you to get up and running with Kubernetes faster.
[Supergiant Capacity - Beta](https://github.com/supergiant/capacity) is a tool that ensures that the right hardware is available for the required resource load of your Kubernetes cluster at any given time. This helps prevent over-provisioning of your container environment and overspending on your hardware budget.
[Test suite for Kubernetes](https://github.com/mrahbar/k8s-testsuite) is a test suite consists of two Helm charts for network bandwith testing and load testing a Kuberntes cluster.
[Keel](https://github.com/keel-hq/keel) is a Kubernetes Operator to automate Helm, DaemonSet, StatefulSet & Deployment updates.
[Kube Monkey](https://github.com/asobti/kube-monkey) is an implementation of Netflix's Chaos Monkey for Kubernetes clusters. It randomly deletes Kubernetes (k8s) pods in the cluster encouraging and validating the development of failure-resilient services.
[Kube State Metrics (KSM)](https://github.com/kubernetes/kube-state-metrics) is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. It's not focused on the health of the individual Kubernetes components, but rather on the health of the various objects inside, such as deployments, nodes and pods.
[Sonobuoy](https://sonobuoy.io/) is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a choice of configuration tests in an accessible and non-destructive manner.
[PowerfulSeal](https://github.com/powerfulseal/powerfulseal) is a powerful testing tool for your Kubernetes clusters, so that you can detect problems as early as possible.
[Test Infra](https://github.com/kubernetes/test-infra) is a repository contains tools and configuration files for the testing and automation needs of the Kubernetes project.
[cAdvisor (Container Advisor)](https://github.com/google/cadvisor) is a tool that provides container users an understanding of the resource usage and performance characteristics of their running containers. It's a running daemon that collects, aggregates, processes, and exports information about running containers. Specifically, for each container it keeps resource isolation parameters, historical resource usage, histograms of complete historical resource usage and network statistics.
[Etcd](https://etcd.io/) is a distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. Etcd is used as the backend for service discovery and stores cluster state and configuration for Kubernetes.
[nacos](https://github.com/alibaba/nacos) is an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.
[Kuma](https://kuma.io/install) is a modern Envoy-based service mesh that can run on every cloud, in a single or multi-zone capacity, across both Kubernetes and VMs. Thanks to its broad universal workload support, combined with native support for Envoy as its data plane proxy technology (but with no Envoy expertise required), Kuma provides modern L4-L7 service connectivity, discovery, security, observability, routing and more across any service on any platform, databases included.
[Open Service Mesh (OSM)](https://openservicemesh.io/) is a lightweight, extensible, cloud native service mesh that allows users to uniformly manage, secure, and get out-of-the-box observability features for highly dynamic microservice environments.
[kserve](https://github.com/kserve/kserve) is a Standardized Serverless ML Inference Platform on Kubernetes.
[naftis](https://github.com/XiaoMi/naftis) is an awesome dashboard for Istio built with love.
[Traefik Mesh](https://traefik.io/traefik-mesh) is a simple, yet full-featured service mesh. It is container-native and fits as your de-facto service mesh in your Kubernetes cluster. It supports the latest Service Mesh Interface specification [SMI](https://smi-spec.io/) that facilitates integration with pre-existing solution.
[Meshery](https://meshery.io/) is the cloud native management plane offering lifecycle, configuration, and performance management of Kubernetes, service meshes, and your workloads.
[kubectx](https://kubectx.dev/) is a tool to switch between contexts (clusters) on kubectl faster.
[Dapr](https://dapr.io/) is a portable, event-driven, runtime for building distributed applications across cloud and edge.
[OpenEBS](https://openebs.io/) is a Kubernetes-based tool to create stateful applications using Container Attached Storage.
[Container Storage Interface (CSI)](https://www.architecting.it/blog/container-storage-interface/) is an API that lets container orchestration platforms like Kubernetes seamlessly communicate with stored data via a plug-in.
[MicroK8s](https://microk8s.io/) is a tool that delivers the full Kubernetes experience. In a Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. It is supported on Linux, Windows, and MacOS.
[Charmed Kubernetes](https://ubuntu.com/kubernetes/features) is a well integrated, turn-key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.
[Grafana Kubernetes App](https://grafana.com/grafana/plugins/grafana-kubernetes-app) is a toll that allows you to monitor your Kubernetes cluster's performance. It includes 4 dashboards, Cluster, Node, Pod/Container and Deployment. It allows for the automatic deployment of the required Prometheus exporters and a default scrape config to use with your in cluster Prometheus deployment.
[KubeEdge](https://kubeedge.io/en/) is an open source system for extending native containerized application orchestration capabilities to hosts at Edge.It is built upon kubernetes and provides fundamental infrastructure support for network, app. deployment and metadata synchronization between cloud and edge.
[Lens](https://k8slens.dev/) is the most powerful IDE for people who need to deal with Kubernetes clusters on a daily basis. It has support for MacOS, Windows and Linux operating systems.
[kind](https://kind.sigs.k8s.io/) is a tool for running local Kubernetes clusters using Docker container “nodes”. It was primarily designed for testing Kubernetes itself, but may be used for local development or CI.
[Flux CD](https://fluxcd.io/) is a tool that automatically ensures that the state of your Kubernetes cluster matches the configuration you've supplied in Git. It uses an operator in the cluster to trigger deployments inside Kubernetes, which means that you don't need a separate continuous delivery tool.
[Platform9 Managed Kubernetes (PMK)](https://platform9.com/managed-kubernetes/) is a Kubernetes as a service that ensures fully automated Day-2 operations with 99.9% SLA on any environment, whether in data-centers, public clouds, or at the edge.
## Getting Started with OpenShift
[Back to the Top](#table-of-contents)
### What is OpenShift?
[Red Hat OpenShift](https://www.openshift.com/) is an open source container application platform based on the Kubernetes container orchestrator for enterprise app development and deployment in the hybrid cloud Red Hat OpenShift, the open hybrid cloud platform built on Kubernetes. OpenShift can manage applications written in different languages and frameworks, such as Ruby, Node.js, Java, Perl, and Python.
**Red Hat OpenShift Development Architecture. Source: [Red Hat](https://www.redhat.com/en/resources/openshift-container-storage-datasheet)**
### OpenShift Developer Resources
[Back to the Top](#table-of-contents)
* [Get Started with the CLI on OpenShift](https://docs.openshift.com/container-platform/3.9/cli_reference/get_started_cli.html)
* [CI/CD with OpenShift](https://www.openshift.com/blog/cicd-with-openshift)
* [AI/ML on OpenShift](https://www.openshift.com/learn/topics/ai-ml)
* [Red Hat OpenShift on VMware](https://www.openshift.com/learn/topics/openshift-on-vmware)
* [Understanding service mesh with OpenShift](https://docs.openshift.com/container-platform/4.1/service_mesh/service_mesh_arch/understanding-ossm.html)
* [IBM Redbooks | Red Hat](https://www.redbooks.ibm.com/domains/redhat)
* [DevOps Training & Tutorials | Red Hat Developer](https://developers.redhat.com/topics/devops)
* [All Topics for Software Developers | Red Hat Developer](https://developers.redhat.com/topics)
* [Develop Applications on OpenShift](https://developers.redhat.com/openshift)
* [Automate application security with OpenShift Pipelines](https://developers.redhat.com/topics/devsecops)
* [What is the difference between OpenShift and Kubernetes?](https://developers.redhat.com/openshift/difference-openshift-kubernetes/)
* [What books are available about OpenShift?](https://developers.redhat.com/openshift/openshift-books/)
* [Where can I try out OpenShift to see what it is like?](https://developers.redhat.com/openshift/try-openshift/)
* [How can I run OpenShift on my own computer for development?](https://developers.redhat.com/openshift/local-openshift/)
* [What hosting services are there that use OpenShift?](https://developers.redhat.com/openshift/hosting-openshift/)
### Certifications & Courses
[Back to the Top](#table-of-contents)
* [OpenShift Training from Red Hat](https://www.redhat.com/en/openshift-training)
* [OpenShift: Interactive Learning Portal](https://learn.openshift.com/)
* [Red Hat Certified Specialist in OpenShift Administration](https://www.redhat.com/en/services/certification/rhcs-paas)
* [Red Hat OpenShift Operator Certification](https://www.openshift.com/blog/red-hat-openshift-operator-certification)
* [Kubernetes and OpenShift: Community, Standards and Certifications](https://www.openshift.com/blog/kubernetes-and-openshift-community-standards-and-certifications)
* [OpenShift Courses | Udemy](https://www.udemy.com/topic/openshift/)
* [OpenShift - Deploying Applications course | Coursera](https://www.coursera.org/lecture/ibm-cloud-essentials/openshift-499y0)
* [Introduction to Containers w/ Docker, Kubernetes & OpenShift course | Coursera](https://www.coursera.org/learn/ibm-containers-docker-kubernetes-openshift)
* [Fundamentals of Containers, Kubernetes, and Red Hat OpenShift | edX](https://www.edx.org/course/fundamentals-of-containers-kubernetes-and-red-hat)
### Books
[Back to the Top](#table-of-contents)
* [OpenShift for Developers, Second Edition by Joshua Wood & Brian Tannous ](https://developers.redhat.com/e-books/openshift-for-developers)
* [Introducing Istio Service Mesh for Microservices by Burr Sutter and Christian Posta](https://developers.redhat.com/e-books/introducing-istio-service-mesh-microservices-old)
* [DevOps with OpenShift by Stefano Picozzi, Mike Hepburn & Noel O'Connor](https://developers.redhat.com/topics/devops)
* [Microservices for Java Developers: A Hands-on Introduction to Frameworks and Containers by Rafael Benevides](https://developers.redhat.com/e-books/microservices-java-developers-hands-introduction-frameworks-and-containers-old)
* [Migrating to Microservice Databases: From Relational Monolith to Distributed Data by Edson Yanaga](https://developers.redhat.com/e-books/migrating-microservice-databases-relational-monolith-distributed-data-old)
* [OpenShift 3 for Developers: A Guide for Impatient Beginners by Grant Shipley, Graham Dumpleton](https://developers.redhat.com/e-books/openshift-developers-guide-impatient-beginners-old)
* [Using the IBM Block Storage CSI Driver in a Red Hat OpenShift Environment](https://www.redbooks.ibm.com/abstracts/redp5613.html)
* [Storage Multi-tenancy for Red Hat OpenShift Container Platform with IBM Storage](https://www.redbooks.ibm.com/abstracts/redp5638.html)
* [An Implementation of Red Hat OpenShift Network Isolation Using Multiple Ingress Controllers](https://www.redbooks.ibm.com/abstracts/redp5641.html)
* [IBM Spectrum Scale as a Persistent Storage for Red Hat OpenShift on IBM Z Quick Installation Guide](https://www.redbooks.ibm.com/abstracts/redp5645.html)
* [Innovate at Scale and Deploy with Confidence in a Hybrid Cloud Environment](https://www.redbooks.ibm.com/abstracts/redp5621.html)
### Source-to-Image (S2I) images for programming/buildng your Apps
[Back to the Top](#table-of-contents)
#### Java
* [Java - Source-to-Image (S2I) Builder Images for OpenShift](https://docs.openshift.com/online/pro/using_images/s2i_images/java.html).
#### Python
* [Python - Source-to-Image (S2I) Builder Images for OpenShift](https://docs.openshift.com/online/pro/using_images/s2i_images/python.html).
#### Golang
* [Golang- Source-to-Image (S2I) Builder Images for OpenShift](https://github.com/sclorg/golang-container).
#### Ruby
* [Ruby - Source-to-Image (S2I) Builder Images for OpenShift](https://docs.openshift.com/online/pro/using_images/s2i_images/ruby.html).
#### .NET Core
* [.NET Core - Source-to-Image (S2I) Builder Images for OpenShift(https://docs.openshift.com/online/pro/using_images/s2i_images/dot_net_core.html).
#### Node.js
* [Node.js - Source-to-Image (S2I) Builder Images for OpenShift](https://docs.openshift.com/online/pro/using_images/s2i_images/nodejs.html).
#### Perl
* [Perl - Source-to-Image (S2I) Builder Images for OpenShift](https://docs.openshift.com/online/pro/using_images/s2i_images/perl.html).
#### PHP
* [PHP - Source-to-Image (S2I) Builder Images for OpenShift](https://docs.openshift.com/online/pro/using_images/s2i_images/php.html).
### Builder Images for setting up Databases
[Back to the Top](#table-of-contents)
#### MySQL
* [MySQL - Database Images for OpenShift](https://docs.openshift.com/online/pro/using_images/db_images/mysql.html)
#### PostgreSQL
* [PostgreSQL - Database Images for OpenShift](https://docs.openshift.com/online/pro/using_images/db_images/postgresql.html)
#### MongoDB
* [MongoDB - Database Images for OpenShift](https://docs.openshift.com/online/pro/using_images/db_images/mongodb.html)
#### MariaDB
* [MariaDB - Database Images for OpenShift](https://docs.openshift.com/online/pro/using_images/db_images/mariadb.html)
#### Redis
* [Redis - Database Images for OpenShift](https://github.com/sclorg/redis-container)
### Setting up on Microsoft Azure
[Back to the Top](#table-of-contents)
[Microsoft Azure Red Hat OpenShift](https://learn.microsoft.com/en-us/azure/openshift/) is a fully managed offering of OpenShift running in Azure. This service is jointly managed and supported by [Microsoft](https://www.microsoft.com) and [Red Hat](https://redhat.com/).
**Requirements:**
* [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/) version 2.6.0 or later.
* **56 vCPUs**, so you must increase the account limit.
By default, each cluster creates the following instances:
* One bootstrap machine, which is removed after installation
* Three control plane machines
* Three compute machines
Because the bootstrap, control plane, and worker machines use ```Standard_DS4_v2``` virtual machines, which use **8 vCPUs**, a default cluster requires **56 vCPUs**. The bootstrap node VM is used only during installation. To deploy more worker nodes, enable autoscaling, deploy large workloads, or use a different instance type, you must further increase the vCPU limit for your account to ensure that your cluster can deploy the machines that you require.
* **1 VNet.** Each default cluster requires one Virtual Network (VNet), which contains two subnets.
* **7 Network interfaces.** Each default cluster requires seven network interfaces. If you create more machines or your deployed workloads create load balancers, your cluster uses more network interfaces.
* **2 Network security groups.** Each cluster creates network security groups for each subnet in the VNet. The default cluster creates network security groups for the control plane and for the compute node subnets:
controlplane
* Allows the control plane machines to be reached on port 6443 from anywhere.
node
* Allows worker nodes to be reached from the internet on ports 80 and 443.
* **3 Network load balancers.** Each cluster creates the following load balancers:
default
* Public IP address that load balances requests to ports 80 and 443 across worker machines
internal
* Private IP address that load balances requests to ports 6443 and 22623 across control plane machines
external
* Public IP address that load balances requests to port 6443 across control plane machines
* **Note:** If your applications create more Kubernetes LoadBalancer service objects, your cluster uses more load balancers.
* **2 Public IP addresses.** The public load balancer uses a public IP address. The bootstrap machine also uses a public IP address so that you can SSH into the machine to troubleshoot issues during installation. The IP address for the bootstrap node is used only during installation.
* **7 Private IP addresses.** The internal load balancer, each of the three control plane machines, and each of the three worker machines each use a private IP address.
Ingress traffic to an Azure Red Hat OpenShift cluster. Image Credit: [Red Hat](https://www.redhat.com/en/blog/how-deploy-azure-red-hat-openshift)
Egress traffic from an Azure Red Hat OpenShift cluster and connection to the cluster. Image Credit: [Red Hat](https://www.redhat.com/en/blog/how-deploy-azure-red-hat-openshift)
#### Register the Resource Providers
* [Member and guest users.](https://learn.microsoft.com/en-us/azure/active-directory/fundamentals/users-default-permissions#member-and-guest-users)
* [Assign administrator and non-administrator roles to users with Azure Active Director.](https://learn.microsoft.com/en-us/azure/active-directory/fundamentals/active-directory-users-assign-role-azure-portal)
**If you have multiple Azure subscriptions, specify the relevant subscription ID:**
```az account set --subscription ```
**Register the Microsoft.RedHatOpenShift resource provider:**
```az provider register -n Microsoft.RedHatOpenShift --wait```
**Register the Microsoft.Compute resource provider:**
```az provider register -n Microsoft.Compute --wait```
**Register the Microsoft.Storage resource provider:**
```az provider register -n Microsoft.Storage --wait```
**Register the Microsoft.Authorization resource provider:**
```az provider register -n Microsoft.Authorization --wait```
**Create a Resource Group:**
```
az group create \
--name $RESOURCEGROUP \
--location $LOCATION
```
**Creating a Virtual Network:**
```
az network vnet create \
--resource-group $RESOURCEGROUP \
--name aro-vnet \
--address-prefixes 10.0.0.0/22
```
**Adding empty subnet for the master nodes.**
```
az network vnet subnet create \
--resource-group $RESOURCEGROUP \
--vnet-name aro-vnet \
--name master-subnet \
--address-prefixes 10.0.0.0/23 \
--service-endpoints Microsoft.ContainerRegistry
```
**Adding empty subnet for the worker nodes.**
```
az network vnet subnet create \
--resource-group $RESOURCEGROUP \
--vnet-name aro-vnet \
--name worker-subnet \
--address-prefixes 10.0.2.0/23 \
--service-endpoints Microsoft.ContainerRegistry
```
**[Disable subnet private endpoint policies](https://learn.microsoft.com/en-us/azure/private-link/disable-private-link-service-network-policy) on the master subnet.**
```
az network vnet subnet update \
--name master-subnet \
--resource-group $RESOURCEGROUP \
--vnet-name aro-vnet \
--disable-private-link-service-network-policies true
```
**Creating a Cluster**
```
az aro create \
--resource-group $RESOURCEGROUP \
--name $CLUSTER \
--vnet aro-vnet \
--master-subnet master-subnet \
--worker-subnet worker-subnet
```
### Setting up on Google Cloud (GCP)
[Back to the Top](#table-of-contents)
#### Minimum Requirements:
* [gcloud CLI](https://cloud.google.com/sdk/gcloud/) or [OpenShift CLI (oc)](https://access.redhat.com/downloads/content/290).
**Master Nodes:**
* Minimum 4 vCPU (additional are strongly recommended).
* Minimum 16 GB RAM (additional memory is strongly recommended, especially if etcd is co-located on masters).
* Minimum 40 GB hard disk space for the file system .
**Worker Nodes:**
* 1 vCPU.
* Minimum 8 GB RAM.
* Minimum 15 GB hard disk space for the file system.
* If you don’t have a GCP account already, [sign-up for Cloud Platform](https://cloud.google.com/free-trial/), setup billing and activate APIs.
* Setup a service account. A service account is a way to interact with your GCP resources by using a different identity than your primary login and is generally intended for server-to-server interaction. From the GCP Navigation Menu, click on **"Permissions."**
* Click on **"Service accounts."**
Click on **"Create service account,"** which will prompt you to enter a [service account](https://developers.google.com/identity/protocols/OAuth2ServiceAccount#overview) name. Provide a name for your project and click on **"Furnish a new private key."** The default **"JSON"** Key type should be left selected.
Once you click **"Create,"** a service account **“.json”** will be downloaded to your browser’s downloads location.
* **Important:** Like any credential, this represents an access mechanism to authenticate and use resources in your GCP account. Never place this file in a publicly accessible source repo (Public GitHub or GitLab).
using the JSON credential via a Kubernetes secret deployed to your OpenShift cluster. To do so, first perform a base64 encoding of your JSON credential file:
``` base64 -i ~/path/to/downloads/credentials.json```
Keep the output (a very long string) ready for use in the next step, where you’ll replace ```‘BASE64_CREDENTIAL_STRING’``` in the pod example (below) with the output just captured from base64 encoding.
* **Note:** base64 is encoded (not encrypted) and can be readily reversed, so this file (with the base64 string) is just as confidential as the credential file above.
Create the [Kubernetes secret](http://kubernetes.io/docs/user-guide/secrets/) inside your OpenShift Cluster. A secret is the proper place to make sensitive information available to pods running in your cluster (like passwords or the credentials downloaded in the previous step).
```
apiVersion: v1
kind: Secret
metadata:
name: google-services-secret
type: Opaque
data:
google-services.json: BASE64_CREDENTIAL_STRING
```
**Note:** Replace ```‘BASE64_CREDENTIAL_STRING’``` with the base64 output from the prior step.
**Deploy the secret to the cluster:**
```oc create -f google-secret.yaml```
### Setting up Red Hat OpenShift Data Science
[Back to the Top](#table-of-contents)
[Red Hat® OpenShift® Data Science](https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-data-science) is a fully managed cloud service for data scientists and developers of intelligent applications on [Red Hat OpenShift Dedicated](https://cloud.redhat.com/products/dedicated/) or [Red Hat OpenShift Service on AWS](https://cloud.redhat.com/products/amazon-openshift). It provides a fully supported sandbox in which to rapidly develop, train, and test machine learning (ML) models in the public cloud before deploying in production.
* [Red Hat OpenShift Data Science learning tutorials](https://developers.redhat.com/learn/openshift-data-science)
Installing Red Hat OpenShift Data Science
Opening Red Hat OpenShift Data Science
JuypterHub on Red Hat OpenShift Data Science
Exploring Tools on Red Hat OpenShift Data Science
Setting up JupyterHub Notebook Server
Creating a new Python 3 Notebook
Python 3 JupyterHub Notebook
JupyterHub Notebook Sample Demo
OpenShift Project Models
How OpenShift integrates with JupyterHub using Python - Source-to-Image (S2I)
### Red Hat CodeReady Containers (CRC)
[Back to the Top](#table-of-contents)
[Red Hat CodeReady Containers (CRC)](https://developers.redhat.com/content-gateway/rest/mirror/pub/openshift-v4/clients/crc/2.9.0) is a tool that provides a minimal, preconfigured OpenShift 4 cluster on a laptop or desktop machine for development and testing purposes. CRC is delivered as a platform inside of the VM.
* **odo (OpenShift Do)**, a CLI tool for developers, to manage application components on the OpenShift Container Platform.
**System Requirements:**
* **OS:** CentOS Stream 8/RHEL 8/Fedora or later (the latest 2 releases).
* **Download:** [pull-secret](https://cloud.redhat.com/openshift/install/crc/installer-provisioned?intcmp=701f20000012ngPAAQ)
* **Login:** [Red Hat account](https://access.redhat.com/login)
**Other physical requirements include:**
* Four virtual CPUs (**4 vCPUs**)
* 10GB of memory (**RAM**)
* 40GB of storage space
**To set up CodeReady Containers, start by creating the ```crc``` directory, and then download and extract the ```crc``` package:**
```mkdir /home//crc```
```wget https://mirror.openshift.com/pub/openshift-v4/clients/crc/latest/crc-linux-amd64.tar.xz```
```tar -xvf crc-linux-amd64.tar.xz```
**Next, move the files to the crc directory and remove the downloaded package(s):**
```mv /home//crc-linux--amd64/* /home//crc```
```rm /home//crc-linux-amd64.tar.xz```
```rm -r /home//crc-linux--amd64```
**Change to the ```crc``` directory, make ```crc``` executable, and export your ```PATH``` like this:**
```cd /home//crc```
```chmod +x crc```
```export PATH=$PATH:/home//crc```
**Set up and start the cluster:**
```crc setup```
```crc start -p //pull-secret.txt```
**Set up the OC environment:**
```crc oc-env```
```eval $(crc oc-env)```
**Log in as the developer user:**
```oc login -u developer -p developer https://api.crc.testing:6443```
```oc logout```
**And then, log in as the platform’s admin:**
```oc login -u kubeadmin -p password https://api.crc.testing:6443```
```oc logout```
#### Interacting with the cluster. The most common ways include:
**Starting the graphical web console:**
```crc console```
**Display the cluster’s status:**
```crc status```
**Shut down the OpenShift cluster:**
```crc stop```
**Delete or kill the OpenShift cluster:**
```crc delete```
### Setting up Podman
[Back to the Top](#table-of-contents)
[Podman (the POD manager)](https://podman.io/) is an open source tool for developing, managing, and running containers on your Linux systems. It also manages the entire container ecosystem using the libpod library. Podman’s daemonless and inclusive architecture makes it a more secure and accessible option for container management, and its accompanying tools and features, such as [Buildah](https://www.redhat.com/en/topics/containers/what-is-buildah) and [Skopeo](https://www.redhat.com/en/topics/containers/what-is-skopeo), allow developers to customize their container environments to best suit their needs.
* [Libpod](https://pkg.go.dev/github.com/containers/podman/libpod) provides a library for applications looking to use the Container Pod concept made popular by Kubernetes.
**Installing Podman:**
* Fedora: ```sudo dnf install podman```
* CentOS Stream: ```sudo dnf install buildah```
* Ubuntu 20.04 or later: ```sudo apt install podman```
* Debian 11 (bullseye) or later, or sid/unstable: ```sudo apt install podman```
* openSUSE: ```sudo zypper install podman```
* ArchLinux: ```sudo pacman -S podman``` and then tweaks for rootless
[Podman Desktop](https://github.com/containers/podman-desktop) is a tool to manage Podman and other container engines from a single UI and tray local environment.
Podman Desktop
Podman
### Setting up Buildah
[Back to the Top](#table-of-contents)
[Buildah](https://buildah.io/) is an open source, Linux-based tool that can build Docker- and Kubernetes-compatible images, and is easy to incorporate into scripts and build pipelines. In addition, Buildah has overlap functionality with [Podman](https://podman.io/), [Skopeo](https://github.com/containers/skopeo), and [CRI-O](https://cri-o.io/).
* Fedora: ```sudo dnf -y install buildah```
* CentOS Stream: ```sudo dnf -y install buildah```
* Ubuntu 20.04 or later: ```sudo apt install buildah```
* Debian 11 (bullseye) or later, or sid/unstable: ```sudo apt install -y buildah```
* openSUSE: ```sudo zypper install buildah```
* ArchLinux: ```sudo pacman -S buildah``` and then tweaks for rootless
Buildah
### Setting up Skopeo
[Back to the Top](#table-of-contents)
[Skopeo](https://github.com/containers/skopeo) is a tool for manipulating, inspecting, signing, and transferring container images and image repositories on Linux systems, Windows and MacOS. In addition, Skopeo has overlap functionality with [Podman](https://podman.io/), [Buildah](https://buildah.io/), and [CRI-O](https://cri-o.io/).
**Installing Skopeo:**
* Fedora: ```sudo dnf install skopeo```
* CentOS Stream: ```sudo dnf -y install skopeo```
* Ubuntu 20.04 or later: ```sudo apt install skopeo```
* Debian 11 (bullseye) or later, or sid/unstable: ```sudo apt install skopeo```
* openSUSE: ```sudo zypper install skopeo```
* Alpine Linux: ```sudo apk add skopeo```
* ArchLinux: ```sudo pacman -S skopeo``` and then tweaks for rootless
* Nix/NixOS: ```$ nix-env -i skopeo```
* MacOS: ```brew install skopeo```
**Skopeo Usage:**
```
$ skopeo --help
Various operations with container images and container image registries
Usage:
skopeo [command]
Available Commands:
copy Copy an IMAGE-NAME from one location to another
delete Delete image IMAGE-NAME
help Help about any command
inspect Inspect image IMAGE-NAME
list-tags List tags in the transport/repository specified by the REPOSITORY-NAME
login Login to a container registry
logout Logout of a container registry
manifest-digest Compute a manifest digest of a file
standalone-sign Create a signature using local files
standalone-verify Verify a signature using local files
sync Synchronize one or more images from one location to another
```
### File systems
[Back to the Top](#table-of-contents)
[CIFS (Common Internet File System)](https://cifs.com/) is a network filesystem protocol used for providing shared access to files and printers between machines on the network. The client application can read, write, edit and even remove files on the remote server.
[Network File System (NFS)](https://learn.microsoft.com/en-us/windows-server/storage/nfs/nfs-overview) is a protocol that provides a file sharing solution for enterprises that have heterogeneous environments that include both Windows and non-Windows computers. It's most notable for its host authentication, it’s simple to setup, and makes it possible to connect to another service using an IP address only.
**Additional benefits of NFS file share include:**
* NFS provides a central management.
* NFS allows for a user to log into any server and have access to their files transparently.
* It’s been around for a long time, so it comes with familiarity in terms of applications.
* No manual refresh needed for new files.
* It Can be secured with firewalls and Kerberos.
[GlusterFS](https://www.gluster.org/) is a free and open source scalable network filesystem. Gluster is a scalable network filesystem. Using common off-the-shelf hardware, you can create large, distributed storage solutions for media streaming, data analysis, and other data- and bandwidth-intensive tasks.
[Ceph](https://ceph.io/) is a software-defined storage solution designed to address the object, block, and file storage needs of data centers adopting open source as the new norm for high-growth block storage, object stores and data lakes. Ceph provides enterprise scalable storage while keeping [CAPEX](https://corporatefinanceinstitute.com/resources/knowledge/modeling/how-to-calculate-capex-formula/) and [OPEX](https://www.investopedia.com/terms/o/operating_expense.asp) costs in line with underlying bulk commodity disk prices.
[Hadoop Distributed File System (HDFS)](https://www.ibm.com/analytics/hadoop/hdfs) is a distributed file system that handles large data sets running on commodity hardware. It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being [MapReduce](https://www.ibm.com/analytics/hadoop/mapreduce) and [YARN](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html).
[ZFS](https://docs.oracle.com/cd/E19253-01/819-5461/zfsover-2/) is an enterprise-ready open source file system and volume manager with unprecedented flexibility and an uncompromising commitment to data integrity.
[OpenZFS](https://openzfs.org/wiki/Main_Page ) is an open-source storage platform. It includes the functionality of both traditional file systems and volume manager. It has many advanced features including:
- Protection against data corruption.
- Integrity checking for both data and metadata.
- Continuous integrity verification and automatic "self-healing" repair.
[Btrfs](https://btrfs.wiki.kernel.org/index.php/Main_Page) is a modern copy on write (CoW) filesystem for Linux aimed at implementing advanced features while also focusing on fault tolerance, repair and easy administration. Its main features and benefits are:
* Snapshots which do not make the full copy of files
* RAID - support for software-based RAID 0, RAID 1, RAID 10
* Self-healing - checksums for data and metadata, automatic detection of silent data corruptions
[Bcachefs](https://bcachefs.org/) is an advanced new filesystem for Linux, with an emphasis on reliability and robustness and the complete set of features one would expect from a modern filesystem. Scalability has been tested to 50+ TB, will eventually scale far higher.
[Ext4](https://ext4.wiki.kernel.org/index.php/Ext4_Howto) is a journaling file system for Linux, developed as the successor to ext3
[Squashfs](https://www.kernel.org/doc/html/latest/filesystems/squashfs.html) is a compressed read-only filesystem for Linux. It uses zlib, lz4, lzo, or xz compression to compress files, inodes and directories. Inodes in the system are very small and all blocks are packed to minimize data overhead.
[NTFS(New Technology File System)](https://docs.microsoft.com/en-us/windows-server/storage/file-server/ntfs-overview) is the primary file system for recent versions of Windows and Windows Server—provides a full set of features including security descriptors, encryption, disk quotas, and rich metadata, and can be used with Cluster Shared Volumes (CSV) to provide continuously available volumes that can be accessed simultaneously from multiple nodes of a failover cluster.
## OpenShift Tools
[Back to the Top](#table-of-contents)
[OpenShift CLI (oc)](https://docs.openshift.com/container-platform/4.4/cli_reference/openshift_cli/getting-started-cli.html) is a command line interface tool that extends the capabilities of kubectl with [many convenience functions](https://docs.openshift.com/container-platform/4.4/cli_reference/openshift_cli/usage-oc-kubectl.html) that make interacting with both Kubernetes and OpenShift clusters easier.
[OpenShift Serverless CLI (kn)](https://docs.openshift.com/container-platform/4.4/serverless/serverless-getting-started.html) is a command line interface tool to deploy serverless applications, then you’ll want access and control via the kn command.
[OpenShift Pipelines CLI (tkn)](https://docs.openshift.com/container-platform/4.4/pipelines/understanding-openshift-pipelines.html) is a command line interface tool for using Tekton to provide cloud-native CI/CD functionality within the cluster. The tkn command is used to manage the functionality from the CLI.
[Red Hat CodeReady Containers](https://developers.redhat.com/products/codeready-containers) is an option to host a local, all-in-one OpenShift 4 cluster on your workstation. CodeReady Containers replaces [minishift](https://www.okd.io/minishift/), used to run OpenShift 3 clusters on your workstation, as a quick and easy method of creating test and development clusters.
[Helm CLI](https://docs.openshift.com/container-platform/4.4/cli_reference/helm_cli/getting-started-with-helm-on-openshift-container-platform.html) is a command line interface tool for deploying and managing Kubernetes applications to your clusters.
[OpenShift Hive](https://github.com/openshift/hive) is an operator which runs as a service on top of Kubernetes/OpenShift. The Hive service can be used to provision and perform initial configuration of OpenShift 4 clusters.
[OpenShift Service Mesh](https://www.openshift.com/blog/introducing-openshift-service-mesh-2.0) is a tool that provides a layer on top of OpenShift for securely connecting services in a consistent manner. This provides centralized control, security and observability across your services without having to modify your applications.
[Azure Red Hat OpenShift](https://azure.microsoft.com/en-us/services/openshift/) is a flexible, self-service deployment of fully managed OpenShift clusters. Maintain regulatory compliance and focus on your application development, while your master, infrastructure, and application nodes are patched, updated, and monitored by both Microsoft and Red Hat.
[Red Hat OpenShift Service on AWS (ROSA)](https://www.openshift.com/products/amazon-openshift) is a fully-managed and jointly supported Red Hat OpenShift offering that combines the power of Red Hat OpenShift, the industry's most comprehensive enterprise Kubernetes platform, and the AWS public cloud.
[Red Hat OpenShift on Google Cloud](https://cloud.google.com/solutions/partners/openshift-on-gcp) is a fully-managed and jointly supported Red Hat OpenShift offering that enables you to deploy stateful and stateless apps with nearly any language, framework, database, or service. It gives you a hosted environment entirely on Google Cloud. A hybrid environment where you maintain part of your workload on-premises or in a private hosting environment and migrate the rest to Google Cloud.
[Red Hat® Quay](https://www.openshift.com/products/quay) is a secure, private container registry that builds, analyzes and distributes container images. It provides a high level of automation and customization.
[Kata Operator](https://github.com/openshift/kata-operator) is an operator to perform lifecycle management (install/upgrade/uninstall) of [Kata Runtime](https://katacontainers.io/) on Openshift as well as Kubernetes cluster.
[Open Container Initiative](https://opencontainers.org/about/overview/) is an open governance structure for the express purpose of creating open industry standards around container formats and runtimes.
[Buildah](https://buildah.io/) is a command line tool to build Open Container Initiative (OCI) images. It can be used with Docker, Podman, Kubernetes.
[Podman](https://podman.io/) is a daemonless, open source, Linux native tool designed to make it easy to find, run, build, share and deploy applications using Open Containers Initiative (OCI) Containers and Container Images. Podman provides a command line interface (CLI) familiar to anyone who has used the Docker Container Engine.
[Containerd](https://containerd.io)is a daemon that manages the complete container lifecycle of its host system, from image transfer and storage to container execution and supervision to low-level storage to network attachments and beyond. It is available for Linux and Windows.
[OKD](https://okd.io/) is a community distribution of Kubernetes optimized for continuous application development and multi-tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.
# Go Development
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
## Go Learning Resources
[Go](https://golang.org/) is an open source programming language that makes it easy to build simple, reliable, and efficient software.
[Golang Contribution Guide](https://golang.org/doc/contribute.html)
[Google Developers Training](https://developers.google.com/training/)
[Google Developers Certification](https://developers.google.com/certification/)
[Uber's Go Style Guide](https://github.com/uber-go/guide/blob/master/style.md)
[GitLab's Go standards and style guidelines](https://docs.gitlab.com/ee/development/go_guide/)
[Effective Go](https://golang.org/doc/effective_go.html)
[Go: The Complete Developer's Guide (Golang) on Udemy](https://www.udemy.com/course/go-the-complete-developers-guide/)
[Getting Started with Go on Coursera](https://www.coursera.org/learn/golang-getting-started)
[Programming with Google Go on Coursera](https://www.coursera.org/specializations/google-golang)
[Learning Go Fundamentals on Pluralsight](https://www.pluralsight.com/courses/go-fundamentals)
[Learning Go on Codecademy](https://www.codecademy.com/learn/learn-go)
## Go Tools
[golang tools](https://pkg.go.dev/golang.org/x/tools) holds the source for various packages and tools that support the Go programming language.
[Go in Visual Studio Code](https://code.visualstudio.com/docs/languages/go) is an extension that gives you language features like IntelliSense, code navigation, symbol search, bracket matching, snippets, and many more that will help you in Golang development.
[Traefik](https://github.com/traefik/traefik) is a modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components (Docker, Swarm mode, Kubernetes, Marathon, Consul, Etcd, Rancher, Amazon ECS, etc.) and configures itself automatically and dynamically. Pointing Traefik at your orchestrator should be the only configuration step you need.
[Gitea](https://github.com/go-gitea/gitea) is Git with a cup of tea, painless self-hosted git service. Using Go, this can be done with an independent binary distribution across all platforms which Go supports, including Linux, macOS, and Windows on x86, amd64, ARM and PowerPC architectures.
[OpenFaaS](https://github.com/openfaas/faas) is Serverless Functions Made Simple. It makes it easy for developers to deploy event-driven functions and microservices to Kubernetes without repetitive, boiler-plate coding. Package your code or an existing binary in a Docker image to get a highly scalable endpoint with auto-scaling and metrics.
[micro](https://github.com/zyedidia/micro) is a terminal-based text editor that aims to be easy to use and intuitive, while also taking advantage of the capabilities of modern terminals. As its name indicates, micro aims to be somewhat of a successor to the nano editor by being easy to install and use. It strives to be enjoyable as a full-time editor for people who prefer to work in a terminal, or those who regularly edit files over SSH.
[Gravitational Teleport](https://github.com/gravitational/teleport) is a modern security gateway for remotely accessing into Clusters of Linux servers via SSH or SSH-over-HTTPS in a browser or Kubernetes clusters.
[NATS](https://nats.io/) is a simple, secure and performant communications system for digital systems, services and devices. NATS is part of the Cloud Native Computing Foundation (CNCF). NATS has over 30 client language implementations, and its server can run on-premise, in the cloud, at the edge, and even on a Raspberry Pi. NATS can secure and simplify design and operation of modern distributed systems.
[Act](https://github.com/nektos/act) is a GO program that allows you to run our GitHub Actions locally.
[Fiber](https://gofiber.io/) is an [Express](https://github.com/expressjs/express) inspired web framework built on top of [Fasthttp](https://github.com/valyala/fasthttp), the fastest HTTP engine for Go. Designed to ease things up for fast development with zero memory allocation and performance in mind.
[Glide](https://github.com/Masterminds/glide) is a vendor Package Management for Golang.
[BadgerDB](https://github.com/dgraph-io/badger) is an embeddable, persistent and fast key-value (KV) database written in pure Go. It is the underlying database for [Dgraph](https://dgraph.io/), a fast, distributed graph database. It's meant to be a performant alternative to non-Go-based key-value stores like RocksDB.
[Go kit](https://github.com/go-kit/kit) is a programming toolkit for building microservices (or elegant monoliths) in Go. We solve common problems in distributed systems and application architecture so you can focus on delivering business value.
[Codis](https://github.com/CodisLabs/codis) is a proxy based high performance Redis cluster solution written in Go.
[zap](https://github.com/uber-go/zap) is a blazing fast, structured, leveled logging in Go.
[HttpRouter](https://github.com/julienschmidt/httprouter) is a lightweight high performance HTTP request router (also called multiplexer or just mux for short) for Go.
[Gorilla WebSocket](https://github.com/gorilla/websocket) is a Go implementation of the WebSocket protocol.
[Delve](https://github.com/go-delve/delve) is a debugger for the Go programming language.
[GORM](https://github.com/go-gorm/gorm) is a fantastic ORM library for Golang, aims to be developer friendly.
[Go Patterns](https://github.com/tmrts/go-patterns) is a curated collection of idiomatic design & application patterns for Go language.
# Python Development
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
## Python Learning Resources
[Python](https://www.python.org) is an interpreted, high-level programming language. Python is used heavily in the fields of Data Science and Machine Learning.
[Python Developer’s Guide](https://devguide.python.org) is a comprehensive resource for contributing to Python – for both new and experienced contributors. It is maintained by the same community that maintains Python.
[Get started with Kubernetes using Python](https://kubernetes.io/blog/2019/07/23/get-started-with-kubernetes-using-python/)
[Data Science with Python & JupyterHub on Kubernetes](https://tanzu.vmware.com/developer/blog/data-science-with-python-jupyterhub-on-kubernetes-part-1/)
[Azure Functions Python developer guide](https://docs.microsoft.com/en-us/azure/azure-functions/functions-reference-python) is an introduction to developing Azure Functions using Python. The content below assumes that you've already read the [Azure Functions developers guide](https://docs.microsoft.com/en-us/azure/azure-functions/functions-reference).
[CheckiO](https://checkio.org/) is a programming learning platform and a gamified website that teaches Python through solving code challenges and competing for the most elegant and creative solutions.
[Python Institute](https://pythoninstitute.org)
[PCEP – Certified Entry-Level Python Programmer certification](https://pythoninstitute.org/pcep-certification-entry-level/)
[PCAP – Certified Associate in Python Programming certification](https://pythoninstitute.org/pcap-certification-associate/)
[PCPP – Certified Professional in Python Programming 1 certification](https://pythoninstitute.org/pcpp-certification-professional/)
[PCPP – Certified Professional in Python Programming 2](https://pythoninstitute.org/pcpp-certification-professional/)
[MTA: Introduction to Programming Using Python Certification](https://docs.microsoft.com/en-us/learn/certifications/mta-introduction-to-programming-using-python)
[Getting Started with Python in Visual Studio Code](https://code.visualstudio.com/docs/python/python-tutorial)
[Google's Python Style Guide](https://google.github.io/styleguide/pyguide.html)
[Google's Python Education Class](https://developers.google.com/edu/python/)
[Real Python](https://realpython.com)
[The Python Open Source Computer Science Degree by Forrest Knight](https://github.com/ForrestKnight/open-source-cs-python)
[Intro to Python for Data Science](https://www.datacamp.com/courses/intro-to-python-for-data-science)
[Intro to Python by W3schools](https://www.w3schools.com/python/python_intro.asp)
[Codecademy's Python 3 course](https://www.codecademy.com/learn/learn-python-3)
[Learn Python with Online Courses and Classes from edX](https://www.edx.org/learn/python)
[Python Courses Online from Coursera](https://www.coursera.org/courses?query=python)
## Python Frameworks and Tools
[Python Package Index (PyPI)](https://pypi.org/) is a repository of software for the Python programming language. PyPI helps you find and install software developed and shared by the Python community.
[PyCharm](https://www.jetbrains.com/pycharm/) is the best IDE I've ever used. With PyCharm, you can access the command line, connect to a database, create a virtual environment, and manage your version control system all in one place, saving time by avoiding constantly switching between windows.
[Python Tools for Visual Studio(PTVS)](https://microsoft.github.io/PTVS/) is a free, open source plugin that turns Visual Studio into a Python IDE. It supports editing, browsing, IntelliSense, mixed Python/C++ debugging, remote Linux/MacOS debugging, profiling, IPython, and web development with Django and other frameworks.
[Pylance](https://github.com/microsoft/pylance-release) is an extension that works alongside Python in Visual Studio Code to provide performant language support. Under the hood, Pylance is powered by Pyright, Microsoft's static type checking tool.
[Pyright](https://github.com/Microsoft/pyright) is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified.
[Django](https://www.djangoproject.com/) is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
[Flask](https://flask.palletsprojects.com/) is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries.
[Web2py](http://web2py.com/) is an open-source web application framework written in Python allowing allows web developers to program dynamic web content. One web2py instance can run multiple web sites using different databases.
[AWS Chalice](https://github.com/aws/chalice) is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda.
[Tornado](https://www.tornadoweb.org/) is a Python web framework and asynchronous networking library. Tornado uses a non-blocking network I/O, which can scale to tens of thousands of open connections.
[HTTPie](https://github.com/httpie/httpie) is a command line HTTP client that makes CLI interaction with web services as easy as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers.
[Scrapy](https://scrapy.org/) is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
[Sentry](https://sentry.io/) is a service that helps you monitor and fix crashes in realtime. The server is in Python, but it contains a full API for sending events from any language, in any application.
[Pipenv](https://github.com/pypa/pipenv) is a tool that aims to bring the best of all packaging worlds (bundler, composer, npm, cargo, yarn, etc.) to the Python world.
[Python Fire](https://github.com/google/python-fire) is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
[Bottle](https://github.com/bottlepy/bottle) is a fast, simple and lightweight [WSGI](https://www.wsgi.org/) micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the [Python Standard Library](https://docs.python.org/library/).
[CherryPy](https://cherrypy.org) is a minimalist Python object-oriented HTTP web framework.
[Sanic](https://github.com/huge-success/sanic) is a Python 3.6+ web server and web framework that's written to go fast.
[Pyramid](https://trypyramid.com) is a small and fast open source Python web framework. It makes real-world web application development and deployment more fun and more productive.
[TurboGears](https://turbogears.org) is a hybrid web framework able to act both as a Full Stack framework or as a Microframework.
[Falcon](https://falconframework.org/) is a reliable, high-performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.
[Neural Network Intelligence(NNI)](https://github.com/microsoft/nni) is an open source AutoML toolkit for automate machine learning lifecycle, including [Feature Engineering](https://github.com/microsoft/nni/blob/master/docs/en_US/FeatureEngineering/Overview.md), [Neural Architecture Search](https://github.com/microsoft/nni/blob/master/docs/en_US/NAS/Overview.md), [Model Compression](https://github.com/microsoft/nni/blob/master/docs/en_US/Compressor/Overview.md) and [Hyperparameter Tuning](https://github.com/microsoft/nni/blob/master/docs/en_US/Tuner/BuiltinTuner.md).
[Dash](https://plotly.com/dash) is a popular Python framework for building ML & data science web apps for Python, R, Julia, and Jupyter.
[Luigi](https://github.com/spotify/luigi) is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built-in.
[Locust](https://github.com/locustio/locust) is an easy to use, scriptable and scalable performance testing tool.
[spaCy](https://github.com/explosion/spaCy) is a library for advanced Natural Language Processing in Python and Cython.
[NumPy](https://www.numpy.org/) is the fundamental package needed for scientific computing with Python.
[Pillow](https://python-pillow.org/) is a friendly PIL(Python Imaging Library) fork.
[IPython](https://ipython.org/) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers enhanced introspection, rich media, additional shell syntax, tab completion, and rich history.
[GraphLab Create](https://turi.com/) is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance machine learning models.
[Pandas](https://pandas.pydata.org/) is a fast, powerful, and easy to use open source data structrures, data analysis and manipulation tool, built on top of the Python programming language.
[PuLP](https://coin-or.github.io/pulp/) is an Linear Programming modeler written in python. PuLP can generate LP files and call on use highly optimized solvers, GLPK, COIN CLP/CBC, CPLEX, and GUROBI, to solve these linear problems.
[Matplotlib](https://matplotlib.org/) is a 2D plotting library for creating static, animated, and interactive visualizations in Python. Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms.
[Scikit-Learn](https://scikit-learn.org/stable/index.html) is a simple and efficient tool for data mining and data analysis. It is built on NumPy,SciPy, and mathplotlib.
# Bash/PowerShell Development
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
## Bash/PowerShell Learning Resources
[Introduction to Bash Shell Scripting by Coursera](https://www.coursera.org/projects/introduction-to-bash-shell-scripting)
[Bash: Shell Script Basics by Pluralsight](https://www.pluralsight.com/courses/bash-shell-scripting)
[Bash/Shell by Codecademy](https://www.codecademy.com/catalog/language/bash)
[Getting Started with PowerShell](https://docs.microsoft.com/en-us/powershell/)
[Deploy an Azure Kubernetes Service cluster using PowerShell](https://docs.microsoft.com/en-us/azure/aks/kubernetes-walkthrough-powershell)
[PowerShell in Azure Cloud Shell](https://aka.ms/cloudshell/powershell-docs)
[Azure Functions using PowerShell](https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-function-vs-code?pivots=programming-language-powershell)
[Azure Automation runbooks](https://docs.microsoft.com/en-us/azure/automation/automation-runbook-types)
[Using Visual Studio Code for PowerShell Development](https://docs.microsoft.com/en-us/powershell/scripting/dev-cross-plat/vscode/using-vscode?view=powershell-7)
[Integrated Terminal in Visual Studio Code](https://code.visualstudio.com/docs/editor/integrated-terminal)
[AWS Tools for Windows PowerShell](https://aws.amazon.com/powershell/)
[PowerShell Best Practices and Style Guide](https://poshcode.gitbooks.io/powershell-practice-and-style)
[AWS Command Line Interface and aws-shell Sample for AWS Cloud9](https://docs.aws.amazon.com/cloud9/latest/user-guide/sample-aws-cli.html)
[Configuring Cloud Shell on Google Cloud](https://cloud.google.com/shell/docs/configuring-cloud-shell)
[Google's Shell Style Guide](https://google.github.io/styleguide/shellguide.html)
## Bash/ PowerShell Tools
[Bash](https://www.gnu.org/software/bash/) is the GNU Project's shell(Bourne Again SHell), which is an sh-compatible shell that integrates together useful features from the Korn shell (ksh) and the C shell (csh).
[PowerShell Core](https://microsoft.com/PowerShell) is a cross-platform (Windows, Linux, and macOS) automation and configuration tool/framework that works well with your existing tools and is optimized for dealing with structured data (JSON, CSV, XML, etc.), REST APIs, and object models. It also includes a command-line shell, an associated scripting language and a framework for processing cmdlets.
[Azure PowerShell](https://docs.microsoft.com/en-us/powershell/azure/overview) is a set of cmdlets for managing Microsoft Azure resources directly from the PowerShell command line.
[AWS Shell](https://aws.amazon.com/cli/) is a command-line shell program that provides convenience and productivity features to help both new and advanced users of the AWS Command Line Interface.
[Google Cloud Shell](https://cloud.google.com/shell/) is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
[VS Code Bash Debug](https://marketplace.visualstudio.com/items?itemName=rogalmic.bash-debug) is a bash debugger GUI frontend based on awesome bashdb scripts (bashdb now included in package).
[VS Code Bash IDE](https://marketplace.visualstudio.com/items?itemName=mads-hartmann.bash-ide-vscode) is a Visual Studio Code extension utilizing the [bash language server](https://github.com/bash-lsp/bash-language-server/blob/master/bash-lsp), that is based on [Tree Sitter](https://github.com/tree-sitter/tree-sitter) and its [grammar for Bash](https://github.com/tree-sitter/tree-sitter-bash) and supports [explainshell](https://explainshell.com/) integration.
# Machine Learning
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
## ML Learning Resources
[Kubernetes for Machine Learning on Platform9](https://platform9.com/blog/kubernetes-for-machine-learning/)
[Introducing Amazon SageMaker Operators for Kubernetes](https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/)
[Deploying machine learning models on Kubernetes with Google Cloud](https://cloud.google.com/community/tutorials/kubernetes-ml-ops)
[Create and attach Azure Kubernetes Service with Azure Machine Learning](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-kubernetes)
[Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, AI with HPE](https://www.hpe.com/us/en/resources/solutions/kubernetes-mlops.html)
[Machine Learning by Stanford University from Coursera](https://www.coursera.org/learn/machine-learning)
[Machine Learning Courses Online from Coursera](https://www.coursera.org/courses?query=machine%20learning&)
[Machine Learning Courses Online from Udemy](https://www.udemy.com/topic/machine-learning/)
[Learn Machine Learning with Online Courses and Classes from edX](https://www.edx.org/learn/machine-learning)
## ML frameworks & applications
[TensorFlow](https://www.tensorflow.org) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
[Tensorman](https://github.com/pop-os/tensorman) is a utility for easy management of Tensorflow containers by developed by [System76]( https://system76.com).Tensorman allows Tensorflow to operate in an isolated environment that is contained from the rest of the system. This virtual environment can operate independent of the base system, allowing you to use any version of Tensorflow on any version of a Linux distribution that supports the Docker runtime.
[Keras](https://keras.io) is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.
[PyTorch](https://pytorch.org) is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. Primarily developed by Facebook's AI Research lab.
[Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.
[Azure Databricks](https://azure.microsoft.com/en-us/services/databricks/) is a fast and collaborative Apache Spark-based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.
[Microsoft Cognitive Toolkit (CNTK)](https://docs.microsoft.com/en-us/cognitive-toolkit/) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers.
[Apache Airflow](https://airflow.apache.org) is an open-source workflow management platform created by the community to programmatically author, schedule and monitor workflows. Install. Principles. Scalable. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.
[Open Neural Network Exchange(ONNX)](https://github.com/onnx) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.
[Apache MXNet](https://mxnet.apache.org/) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. Support for Python, R, Julia, Scala, Go, Javascript and more.
[AutoGluon](https://autogluon.mxnet.io/index.html) is toolkit for Deep learning that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data.
[Anaconda](https://www.anaconda.com/) is a very popular Data Science platform for machine learning and deep learning that enables users to develop models, train them, and deploy them.
[PlaidML](https://github.com/plaidml/plaidml) is an advanced and portable tensor compiler for enabling deep learning on laptops, embedded devices, or other devices where the available computing hardware is not well supported or the available software stack contains unpalatable license restrictions.
[OpenCV](https://opencv.org) is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
[Scikit-Learn](https://scikit-learn.org/stable/index.html) is a Python module for machine learning built on top of SciPy, NumPy, and matplotlib, making it easier to apply robust and simple implementations of many popular machine learning algorithms.
[Weka](https://www.cs.waikato.ac.nz/ml/weka/) is an open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j.
[Caffe](https://github.com/BVLC/caffe) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
[Theano](https://github.com/Theano/Theano) is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently including tight integration with NumPy.
[nGraph](https://github.com/NervanaSystems/ngraph) is an open source C++ library, compiler and runtime for Deep Learning. The nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets.It provides the freedom, performance, and ease-of-use to AI developers.
[NVIDIA cuDNN](https://developer.nvidia.com/cudnn) is a GPU-accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including [Caffe2](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).
[Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.
[Apache Spark](https://spark.apache.org/) is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
[Apache Spark Connector for SQL Server and Azure SQL](https://github.com/microsoft/sql-spark-connector) is a high-performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting. The connector allows you to use any SQL database, on-premises or in the cloud, as an input data source or output data sink for Spark jobs.
[Apache PredictionIO](https://predictionio.apache.org/) is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.
[Cluster Manager for Apache Kafka(CMAK)](https://github.com/yahoo/CMAK) is a tool for managing [Apache Kafka](https://kafka.apache.org/) clusters.
[BigDL](https://bigdl-project.github.io/) is a distributed deep learning library for Apache Spark. With BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters.
[Koalas](https://pypi.org/project/koalas/) is project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.
[Apache Spark™ MLflow](https://mlflow.org/) is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components:
**[MLflow Tracking](https://mlflow.org/docs/latest/tracking.html)**: Record and query experiments: code, data, config, and results.
**[MLflow Projects](https://mlflow.org/docs/latest/projects.html)**: Package data science code in a format to reproduce runs on any platform.
**[MLflow Models](https://mlflow.org/docs/latest/models.html)**: Deploy machine learning models in diverse serving environments.
**[Model Registry](https://mlflow.org/docs/latest/model-registry.html)**: Store, annotate, discover, and manage models in a central repository.
[Eclipse Deeplearning4J (DL4J)](https://deeplearning4j.konduit.ai/) is a set of projects intended to support all the needs of a JVM-based(Scala, Kotlin, Clojure, and Groovy) deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.
[Numba](https://github.com/numba/numba) is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.
[Chainer](https://chainer.org/) is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
[cuML](https://github.com/rapidsai/cuml) is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn.
# Networking
[Back to the Top](https://github.com/mikeroyal/kubernetes-Guide/blob/main/README.md#table-of-contents)
## Networking Learning Resources
[AWS Certified Security - Specialty Certification](https://aws.amazon.com/certification/certified-security-specialty/)
[Microsoft Certified: Azure Security Engineer Associate](https://docs.microsoft.com/en-us/learn/certifications/azure-security-engineer)
[Google Cloud Certified Professional Cloud Security Engineer](https://cloud.google.com/certification/cloud-security-engineer)
[Cisco Security Certifications](https://www.cisco.com/c/en/us/training-events/training-certifications/certifications/security.html)
[The Red Hat Certified Specialist in Security: Linux](https://www.redhat.com/en/services/training/ex415-red-hat-certified-specialist-security-linux-exam)
[Linux Professional Institute LPIC-3 Enterprise Security Certification](https://www.lpi.org/our-certifications/lpic-3-303-overview)
[Cybersecurity Training and Courses from IBM Skills](https://www.ibm.com/skills/topics/cybersecurity/)
[Cybersecurity Courses and Certifications by Offensive Security](https://www.offensive-security.com/courses-and-certifications/)
[Citrix Certified Associate – Networking(CCA-N)](http://training.citrix.com/cms/index.php/certification/networking/)
[Citrix Certified Professional – Virtualization(CCP-V)](https://www.globalknowledge.com/us-en/training/certification-prep/brands/citrix/section/virtualization/citrix-certified-professional-virtualization-ccp-v/)
[CCNP Routing and Switching](https://learningnetwork.cisco.com/s/ccnp-enterprise)
[Certified Information Security Manager(CISM)](https://www.isaca.org/credentialing/cism)
[Wireshark Certified Network Analyst (WCNA)](https://www.wiresharktraining.com/certification.html)
[Juniper Networks Certification Program Enterprise (JNCP)](https://www.juniper.net/us/en/training/certification/)
[Networking courses and specializations from Coursera](https://www.coursera.org/browse/information-technology/networking)
[Network & Security Courses from Udemy](https://www.udemy.com/courses/it-and-software/network-and-security/)
[Network & Security Courses from edX](https://www.edx.org/learn/cybersecurity)
## Networking Tools & Concepts
[Qt Network Authorization](https://doc.qt.io/qt-6/qtnetworkauth-index.html) is a tool that provides a set of APIs that enable Qt applications to obtain limited access to online accounts and HTTP services without exposing users' passwords.
[cURL](https://curl.se/) is a computer software project providing a library and command-line tool for transferring data using various network protocols(HTTP, HTTPS, FTP, FTPS, SCP, SFTP, TFTP, DICT, TELNET, LDAP LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP or SMTPS). cURL is also used in cars, television sets, routers, printers, audio equipment, mobile phones, tablets, settop boxes, media players and is the Internet transfer engine for thousands of software applications in over ten billion installations.
[cURL Fuzzer](https://github.com/curl/curl-fuzzer) is a quality assurance testing for the curl project.
[DoH](https://github.com/curl/doh) is a stand-alone application for DoH (DNS-over-HTTPS) name resolves and lookups.
[Authelia](https://www.authelia.com/) is an open-source highly-available authentication server providing single sign-on capability and two-factor authentication to applications running behind [NGINX](https://nginx.org/en/).
[nginx(engine x)](https://nginx.org/en/) is an HTTP and reverse proxy server, a mail proxy server, and a generic TCP/UDP proxy server, originally written by Igor Sysoev.
[Proxmox Virtual Environment(VE)](https://www.proxmox.com/en/) is a complete open-source platform for enterprise virtualization. It inlcudes a built-in web interface that you can easily manage VMs and containers, software-defined storage and networking, high-availability clustering, and multiple out-of-the-box tools on a single solution.
[Wireshark](https://www.wireshark.org/) is a very popular network protocol analyzer that is commonly used for network troubleshooting, analysis, and communications protocol development. Learn more about the other useful [Wireshark Tools](https://wiki.wireshark.org/Tools) available.
[HTTPie](https://github.com/httpie/httpie) is a command-line HTTP client. Its goal is to make CLI interaction with web services as human-friendly as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers.
[HTTPStat](https://github.com/reorx/httpstat) is a tool that visualizes curl statistics in a simple layout.
[Wuzz](https://github.com/asciimoo/wuzz) is an interactive cli tool for HTTP inspection. It can be used to inspect/modify requests copied from the browser's network inspector with the "copy as cURL" feature.
[Websocat](https://github.com/vi/websocat) is a ommand-line client for WebSockets, like netcat (or curl) for ws:// with advanced socat-like functions.
- Connection: In networking, a connection refers to pieces of related information that are transferred through a network. This generally infers that a connection is built before the data transfer (by following the procedures laid out in a protocol) and then is deconstructed at the at the end of the data transfer.
- Packet: A packet is, generally speaking, the most basic unit that is transferred over a network. When communicating over a network, packets are the envelopes that carry your data (in pieces) from one end point to the other.
Packets have a header portion that contains information about the packet including the source and destination, timestamps, network hops. The main portion of a packet contains the actual data being transferred. It is sometimes called the body or the payload.
- Network Interface: A network interface can refer to any kind of software interface to networking hardware. For instance, if you have two network cards in your computer, you can control and configure each network interface associated with them individually.
A network interface may be associated with a physical device, or it may be a representation of a virtual interface. The "loop-back" device, which is a virtual interface to the local machine, is an example of this.
- LAN: LAN stands for "local area network". It refers to a network or a portion of a network that is not publicly accessible to the greater internet. A home or office network is an example of a LAN.
- WAN: WAN stands for "wide area network". It means a network that is much more extensive than a LAN. While WAN is the relevant term to use to describe large, dispersed networks in general, it is usually meant to mean the internet, as a whole.
If an interface is connected to the WAN, it is generally assumed that it is reachable through the internet.
- Protocol: A protocol is a set of rules and standards that basically define a language that devices can use to communicate. There are a great number of protocols in use extensively in networking, and they are often implemented in different layers.
Some low level protocols are TCP, UDP, IP, and ICMP. Some familiar examples of application layer protocols, built on these lower protocols, are HTTP (for accessing web content), SSH, TLS/SSL, and FTP.
- Port: A port is an address on a single machine that can be tied to a specific piece of software. It is not a physical interface or location, but it allows your server to be able to communicate using more than one application.
- Firewall: A firewall is a program that decides whether traffic coming into a server or going out should be allowed. A firewall usually works by creating rules for which type of traffic is acceptable on which ports. Generally, firewalls block ports that are not used by a specific application on a server.
- NAT: Network address translation is a way to translate requests that are incoming into a routing server to the relevant devices or servers that it knows about in the LAN. This is usually implemented in physical LANs as a way to route requests through one IP address to the necessary backend servers.
- VPN: Virtual private network is a means of connecting separate LANs through the internet, while maintaining privacy. This is used as a means of connecting remote systems as if they were on a local network, often for security reasons.
## Network Layers
While networking is often discussed in terms of topology in a horizontal way, between hosts, its implementation is layered in a vertical fashion throughout a computer or network. This means is that there are multiple technologies and protocols that are built on top of each other in order for communication to function more easily. Each successive, higher layer abstracts the raw data a little bit more, and makes it simpler to use for applications and users. It also allows you to leverage lower layers in new ways without having to invest the time and energy to develop the protocols and applications that handle those types of traffic.
As data is sent out of one machine, it begins at the top of the stack and filters downwards. At the lowest level, actual transmission to another machine takes place. At this point, the data travels back up through the layers of the other computer. Each layer has the ability to add its own "wrapper" around the data that it receives from the adjacent layer, which will help the layers that come after decide what to do with the data when it is passed off.
One method of talking about the different layers of network communication is the OSI model. OSI stands for [Open Systems Interconnect](https://en.wikipedia.org/wiki/OSI_model).This model defines seven separate layers. The layers in this model are:
- Application: The application layer is the layer that the users and user-applications most often interact with. Network communication is discussed in terms of availability of resources, partners to communicate with, and data synchronization.
- Presentation: The presentation layer is responsible for mapping resources and creating context. It is used to translate lower level networking data into data that applications expect to see.
- Session: The session layer is a connection handler. It creates, maintains, and destroys connections between nodes in a persistent way.
- Transport: The transport layer is responsible for handing the layers above it a reliable connection. In this context, reliable refers to the ability to verify that a piece of data was received intact at the other end of the connection. This layer can resend information that has been dropped or corrupted and can acknowledge the receipt of data to remote computers.
- Network: The network layer is used to route data between different nodes on the network. It uses addresses to be able to tell which computer to send information to. This layer can also break apart larger messages into smaller chunks to be reassembled on the opposite end.
- Data Link: This layer is implemented as a method of establishing and maintaining reliable links between different nodes or devices on a network using existing physical connections.
- Physical: The physical layer is responsible for handling the actual physical devices that are used to make a connection. This layer involves the bare software that manages physical connections as well as the hardware itself (like Ethernet).
The TCP/IP model, more commonly known as the Internet protocol suite, is another layering model that is simpler and has been widely adopted.It defines the four separate layers, some of which overlap with the OSI model:
- Application: In this model, the application layer is responsible for creating and transmitting user data between applications. The applications can be on remote systems, and should appear to operate as if locally to the end user.
The communication takes place between peers network.
- Transport: The transport layer is responsible for communication between processes. This level of networking utilizes ports to address different services. It can build up unreliable or reliable connections depending on the type of protocol used.
- Internet: The internet layer is used to transport data from node to node in a network. This layer is aware of the endpoints of the connections, but does not worry about the actual connection needed to get from one place to another. IP addresses are defined in this layer as a way of reaching remote systems in an addressable manner.
- Link: The link layer implements the actual topology of the local network that allows the internet layer to present an addressable interface. It establishes connections between neighboring nodes to send data.
### Interfaces
**Interfaces** are networking communication points for your computer. Each interface is associated with a physical or virtual networking device. Typically, your server will have one configurable network interface for each Ethernet or wireless internet card you have. In addition, it will define a virtual network interface called the "loopback" or localhost interface. This is used as an interface to connect applications and processes on a single computer to other applications and processes. You can see this referenced as the "lo" interface in many tools.
## Network Protocols
Networking works by piggybacks on a number of different protocols on top of each other. In this way, one piece of data can be transmitted using multiple protocols encapsulated within one another.
**Media Access Control(MAC)** is a communications protocol that is used to distinguish specific devices. Each device is supposed to get a unique MAC address during the manufacturing process that differentiates it from every other device on the internet. Addressing hardware by the MAC address allows you to reference a device by a unique value even when the software on top may change the name for that specific device during operation. Media access control is one of the only protocols from the link layer that you are likely to interact with on a regular basis.
**The IP protocol** is one of the fundamental protocols that allow the internet to work. IP addresses are unique on each network and they allow machines to address each other across a network. It is implemented on the internet layer in the IP/TCP model. Networks can be linked together, but traffic must be routed when crossing network boundaries. This protocol assumes an unreliable network and multiple paths to the same destination that it can dynamically change between. There are a number of different implementations of the protocol. The most common implementation today is IPv4, although IPv6 is growing in popularity as an alternative due to the scarcity of IPv4 addresses available and improvements in the protocols capabilities.
**ICMP: internet control message protocol** is used to send messages between devices to indicate the availability or error conditions. These packets are used in a variety of network diagnostic tools, such as ping and traceroute. Usually ICMP packets are transmitted when a packet of a different kind meets some kind of a problem. Basically, they are used as a feedback mechanism for network communications.
**TCP: Transmission control protocol** is implemented in the transport layer of the IP/TCP model and is used to establish reliable connections. TCP is one of the protocols that encapsulates data into packets. It then transfers these to the remote end of the connection using the methods available on the lower layers. On the other end, it can check for errors, request certain pieces to be resent, and reassemble the information into one logical piece to send to the application layer. The protocol builds up a connection prior to data transfer using a system called a three-way handshake. This is a way for the two ends of the communication to acknowledge the request and agree upon a method of ensuring data reliability. After the data has been sent, the connection is torn down using a similar four-way handshake. TCP is the protocol of choice for many of the most popular uses for the internet, including WWW, FTP, SSH, and email. It is safe to say that the internet we know today would not be here without TCP.
**UDP: User datagram protocol** is a popular companion protocol to TCP and is also implemented in the transport layer. The fundamental difference between UDP and TCP is that UDP offers unreliable data transfer. It does not verify that data has been received on the other end of the connection. This might sound like a bad thing, and for many purposes, it is. However, it is also extremely important for some functions. It’s not required to wait for confirmation that the data was received and forced to resend data, UDP is much faster than TCP. It does not establish a connection with the remote host, it simply fires off the data to that host and doesn't care if it is accepted or not. Since UDP is a simple transaction, it is useful for simple communications like querying for network resources. It also doesn't maintain a state, which makes it great for transmitting data from one machine to many real-time clients. This makes it ideal for VOIP, games, and other applications that cannot afford delays.
**HTTP: Hypertext transfer protocol** is a protocol defined in the application layer that forms the basis for communication on the web. HTTP defines a number of functions that tell the remote system what you are requesting. For instance, GET, POST, and DELETE all interact with the requested data in a different way.
**FTP: File transfer protocol** is in the application layer and provides a way of transferring complete files from one host to another. It is inherently insecure, so it is not recommended for any externally facing network unless it is implemented as a public, download-only resource.
**DNS: Domain name system** is an application layer protocol used to provide a human-friendly naming mechanism for internet resources. It is what ties a domain name to an IP address and allows you to access sites by name in your browser.
**SSH: Secure shell** is an encrypted protocol implemented in the application layer that can be used to communicate with a remote server in a secure way. Many additional technologies are built around this protocol because of its end-to-end encryption and ubiquity. There are many other protocols that we haven't covered that are equally important. However, this should give you a good overview of some of the fundamental technologies that make the internet and networking possible.
[REST(REpresentational State Transfer)](https://www.codecademy.com/articles/what-is-rest) is an architectural style for providing standards between computer systems on the web, making it easier for systems to communicate with each other.
[JSON Web Token (JWT)](https://jwt.io) is a compact URL-safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is digitally signed using JSON Web Signature (JWS).
[OAuth 2.0](https://oauth.net/2/) is an open source authorization framework that enables applications to obtain limited access to user accounts on an HTTP service, such as Amazon, Google, Facebook, Microsoft, Twitter GitHub, and DigitalOcean. It works by delegating user authentication to the service that hosts the user account, and authorizing third-party applications to access the user account.
## Virtualization
[KVM (for Kernel-based Virtual Machine)](https://www.linux-kvm.org/page/Main_Page) is a full virtualization solution for Linux on x86 hardware containing virtualization extensions (Intel VT or AMD-V). It consists of a loadable kernel module, kvm.ko, that provides the core virtualization infrastructure and a processor specific module, kvm-intel.ko or kvm-amd.ko.
[QEMU](https://www.qemu.org) is a fast processor emulator using a portable dynamic translator. QEMU emulates a full system, including a processor and various peripherals. It can be used to launch a different Operating System without rebooting the PC or to debug system code.
[Hyper-V](https://docs.microsoft.com/en-us/virtualization/hyper-v-on-windows/) enables running virtualized computer systems on top of a physical host. These virtualized systems can be used and managed just as if they were physical computer systems, however they exist in virtualized and isolated environment. Special software called a hypervisor manages access between the virtual systems and the physical hardware resources. Virtualization enables quick deployment of computer systems, a way to quickly restore systems to a previously known good state, and the ability to migrate systems between physical hosts.
[VirtManager](https://github.com/virt-manager/virt-manager) is a graphical tool for managing virtual machines via libvirt. Most usage is with QEMU/KVM virtual machines, but Xen and libvirt LXC containers are well supported. Common operations for any libvirt driver should work.
[oVirt](https://www.ovirt.org) is an open-source distributed virtualization solution, designed to manage your entire enterprise infrastructure. oVirt uses the trusted KVM hypervisor and is built upon several other community projects, including libvirt, Gluster, PatternFly, and Ansible.Founded by Red Hat as a community project on which Red Hat Enterprise Virtualization is based allowing for centralized management of virtual machines, compute, storage and networking resources, from an easy-to-use web-based front-end with platform independent access.
[Xen](https://github.com/xen-project/xen) is focused on advancing virtualization in a number of different commercial and open source applications, including server virtualization, Infrastructure as a Services (IaaS), desktop virtualization, security applications, embedded and hardware appliances, and automotive/aviation.
[Ganeti](https://github.com/ganeti/ganeti) is a virtual machine cluster management tool built on top of existing virtualization technologies such as Xen or KVM and other open source software. Once installed, the tool assumes management of the virtual instances (Xen DomU).
[Packer](https://www.packer.io/) is an open source tool for creating identical machine images for multiple platforms from a single source configuration. Packer is lightweight, runs on every major operating system, and is highly performant, creating machine images for multiple platforms in parallel. Packer does not replace configuration management like Chef or Puppet. In fact, when building images, Packer is able to use tools like Chef or Puppet to install software onto the image.
[Vagrant](https://www.vagrantup.com/) is a tool for building and managing virtual machine environments in a single workflow. With an easy-to-use workflow and focus on automation, Vagrant lowers development environment setup time, increases production parity, and makes the "works on my machine" excuse a relic of the past. It provides easy to configure, reproducible, and portable work environments built on top of industry-standard technology and controlled by a single consistent workflow to help maximize the productivity and flexibility of you and your team.
[VMware Workstation](https://www.vmware.com/products/workstation-pro.html) is a hosted hypervisor that runs on x64 versions of Windows and Linux operating systems; it enables users to set up virtual machines on a single physical machine, and use them simultaneously along with the actual machine.
[VirtualBox](https://www.virtualbox.org) is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as home use. Not only is VirtualBox an extremely feature rich, high performance product for enterprise customers.
# Databases
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
## Database Learning Resources
[SQL](https://en.wikipedia.org/wiki/SQL) is a standard language for storing, manipulating and retrieving data in relational databases.
[SQL Tutorial by W3Schools](https://www.w3schools.com/sql/)
[Learn SQL Skills Online from Coursera](https://www.coursera.org/courses?query=sql)
[SQL Courses Online from Udemy](https://www.udemy.com/topic/sql/)
[SQL Online Training Courses from LinkedIn Learning](https://www.linkedin.com/learning/topics/sql)
[Learn SQL For Free from Codecademy](https://www.codecademy.com/learn/learn-sql)
[GitLab's SQL Style Guide](https://about.gitlab.com/handbook/business-ops/data-team/platform/sql-style-guide/)
[OracleDB SQL Style Guide Basics](https://oracle.readthedocs.io/en/latest/sql/basics/style-guide.html)
[Tableau CRM: BI Software and Tools](https://www.salesforce.com/products/crm-analytics/overview/)
[Databases on AWS](https://aws.amazon.com/products/databases/)
[Best Practices and Recommendations for SQL Server Clustering in AWS EC2.](https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/aws-sql-clustering.html)
[Connecting from Google Kubernetes Engine to a Cloud SQL instance.](https://cloud.google.com/sql/docs/mysql/connect-kubernetes-engine)
[Educational Microsoft Azure SQL resources](https://docs.microsoft.com/en-us/sql/sql-server/educational-sql-resources?view=sql-server-ver15)
[MySQL Certifications](https://www.mysql.com/certification/)
[SQL vs. NoSQL Databases: What's the Difference?](https://www.ibm.com/cloud/blog/sql-vs-nosql)
[What is NoSQL?](https://aws.amazon.com/nosql/)
## Databases and Tools
[Azure Data Studio](https://github.com/Microsoft/azuredatastudio) is an open source data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.
[Azure SQL Database](https://azure.microsoft.com/en-us/services/sql-database/) is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management.
[Azure SQL Managed Instance](https://azure.microsoft.com/en-us/services/azure-sql/sql-managed-instance/) is a fully managed SQL Server Database engine instance that's hosted in Azure and placed in your network. This deployment model makes it easy to lift and shift your on-premises applications to the cloud with very few application and database changes. Managed instance has split compute and storage components.
[Azure Synapse Analytics](https://azure.microsoft.com/en-us/services/synapse-analytics/) is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources at scale. It brings together the best of the SQL technologies used in enterprise data warehousing, Spark technologies used in big data analytics, and Pipelines for data integration and ETL/ELT.
[MSSQL for Visual Studio Code](https://marketplace.visualstudio.com/items?itemName=ms-mssql.mssql) is an extension for developing Microsoft SQL Server, Azure SQL Database and SQL Data Warehouse everywhere with a rich set of functionalities.
[SQL Server Data Tools (SSDT)](https://docs.microsoft.com/en-us/sql/ssdt/download-sql-server-data-tools-ssdt) is a development tool for building SQL Server relational databases, Azure SQL Databases, Analysis Services (AS) data models, Integration Services (IS) packages, and Reporting Services (RS) reports. With SSDT, a developer can design and deploy any SQL Server content type with the same ease as they would develop an application in Visual Studio or Visual Studio Code.
[Bulk Copy Program](https://docs.microsoft.com/en-us/sql/tools/bcp-utility) is a command-line tool that comes with Microsoft SQL Server. BCP, allows you to import and export large amounts of data in and out of SQL Server databases quickly snd efficeiently.
[SQL Server Migration Assistant](https://www.microsoft.com/en-us/download/details.aspx?id=54258) is a tool from Microsoft that simplifies database migration process from Oracle to SQL Server, Azure SQL Database, Azure SQL Database Managed Instance and Azure SQL Data Warehouse.
[SQL Server Integration Services](https://docs.microsoft.com/en-us/sql/integration-services/sql-server-integration-services?view=sql-server-ver15) is a development platform for building enterprise-level data integration and data transformations solutions. Use Integration Services to solve complex business problems by copying or downloading files, loading data warehouses, cleansing and mining data, and managing SQL Server objects and data.
[SQL Server Business Intelligence(BI)](https://www.microsoft.com/en-us/sql-server/sql-business-intelligence) is a collection of tools in Microsoft's SQL Server for transforming raw data into information businesses can use to make decisions.
[Tableau](https://www.tableau.com/) is a Data Visualization software used in relational databases, cloud databases, and spreadsheets. Tableau was acquired by [Salesforce in August 2019](https://investor.salesforce.com/press-releases/press-release-details/2019/Salesforce-Completes-Acquisition-of-Tableau/default.aspx).
[DataGrip](https://www.jetbrains.com/datagrip/) is a professional DataBase IDE developed by Jet Brains that provides context-sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing.
[RStudio](https://rstudio.com/) is an integrated development environment for R and Python, with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging and workspace management.
[MySQL](https://www.mysql.com/) is a fully managed database service to deploy cloud-native applications using the world's most popular open source database.
[PostgreSQL](https://www.postgresql.org/) is a powerful, open source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.
[Amazon DynamoDB](https://aws.amazon.com/dynamodb/) is a key-value and document database that delivers single-digit millisecond performance at any scale. It is a fully managed, multiregion, multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications.
[FoundationDB](https://www.foundationdb.org/) is an open source distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. FoundationDB was acquired by [Apple in 2015](https://techcrunch.com/2015/03/24/apple-acquires-durable-database-company-foundationdb/).
[CouchbaseDB](https://www.couchbase.com/) is an open source distributed [multi-model NoSQL document-oriented database](https://en.wikipedia.org/wiki/Multi-model_database). It creates a key-value store with managed cache for sub-millisecond data operations, with purpose-built indexers for efficient queries and a powerful query engine for executing SQL queries.
[IBM DB2](https://www.ibm.com/analytics/db2) is a collection of hybrid data management products offering a complete suite of AI-empowered capabilities designed to help you manage both structured and unstructured data on premises as well as in private and public cloud environments. Db2 is built on an intelligent common SQL engine designed for scalability and flexibility.
[MongoDB](https://www.mongodb.com/) is a document database meaning it stores data in JSON-like documents.
[OracleDB](https://www.oracle.com/database/) is a powerful fully managed database helps developers manage business-critical data with the highest availability, reliability, and security.
[MariaDB](https://mariadb.com/) is an enterprise open source database solution for modern, mission-critical applications.
[SQLite](https://sqlite.org/index.html) is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.SQLite is the most used database engine in the world. SQLite is built into all mobile phones and most computers and comes bundled inside countless other applications that people use every day.
[SQLite Database Browser](https://sqlitebrowser.org/) is an open source SQL tool that allows users to create, design and edits SQLite database files. It lets users show a log of all the SQL commands that have been issued by them and by the application itself.
[dbWatch](https://www.dbwatch.com/) is a complete database monitoring/management solution for SQL Server, Oracle, PostgreSQL, Sybase, MySQL and Azure. Designed for proactive management and automation of routine maintenance in large scale on-premise, hybrid/cloud database environments.
[Cosmos DB Profiler](https://hibernatingrhinos.com/products/cosmosdbprof) is a real-time visual debugger allowing a development team to gain valuable insight and perspective into their usage of Cosmos DB database. It identifies over a dozen suspicious behaviors from your application’s interaction with Cosmos DB.
[Adminer](https://www.adminer.org/) is an SQL management client tool for managing databases, tables, relations, indexes, users. Adminer has support for all the popular database management systems such as MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Firebird, SimpleDB, Elasticsearch and MongoDB.
[DBeaver](https://dbeaver.io/) is an open source database tool for developers and database administrators. It offers supports for JDBC compliant databases such as MySQL, Oracle, IBM DB2, SQL Server, Firebird, SQLite, Sybase, Teradata, Firebird, Apache Hive, Phoenix, and Presto.
[DbVisualizer](https://dbvis.com/) is a SQL management tool that allows users to manage a wide range of databases such as Oracle, Sybase, SQL Server, MySQL, H3, and SQLite.
[AppDynamics Database](https://www.appdynamics.com/supported-technologies/database) is a management product for Microsoft SQL Server. With AppDynamics you can monitor and trend key performance metrics such as resource consumption, database objects, schema statistics and more, allowing you to proactively tune and fix issues in a High-Volume Production Environment.
[Toad](https://www.quest.com/toad/) is a SQL Server DBMS toolset developed by Quest. It increases productivity by using extensive automation, intuitive workflows, and built-in expertise. This SQL management tool resolve issues, manage change and promote the highest levels of code quality for both relational and non-relational databases.
[Lepide SQL Server](https://www.lepide.com/sql-storage-manager/) is an open source storage manager utility to analyse the performance of SQL Servers. It provides a complete overview of all configuration and permission changes being made to your SQL Server environment through an easy-to-use, graphical user interface.
[Sequel Pro](https://sequelpro.com/) is a fast MacOS database management tool for working with MySQL. This SQL management tool helpful for interacting with your database by easily to adding new databases, new tables, and new rows.
# Telco 5G
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
**VMware Cloud First Approach. Source: [VMware](https://www.vmware.com/products/telco-cloud-automation.html).**
**VMware Telco Cloud Automation Components. Source: [VMware](https://www.vmware.com/products/telco-cloud-automation.html).**
## Telco Learning Resources
[HPE(Hewlett Packard Enterprise) Telco Blueprints overview](https://techhub.hpe.com/eginfolib/servers/docs/Telco/Blueprints/infocenter/index.html#GUID-9906A227-C1FB-4FD5-A3C3-F3B72EC81CAB.html)
[Network Functions Virtualization Infrastructure (NFVI) by Cisco](https://www.cisco.com/c/en/us/solutions/service-provider/network-functions-virtualization-nfv-infrastructure/index.html)
[Introduction to vCloud NFV Telco Edge from VMware](https://docs.vmware.com/en/VMware-vCloud-NFV-OpenStack-Edition/3.1/vloud-nfv-edge-reference-arch-31/GUID-744C45F1-A8D5-4523-9E5E-EAF6336EE3A0.html)
[VMware Telco Cloud Automation(TCA) Architecture Overview](https://docs.vmware.com/en/VMware-Telco-Cloud-Platform-5G-Edition/1.0/telco-cloud-platform-5G-edition-reference-architecture/GUID-C19566B3-F42D-4351-BA55-DE70D55FB0DD.html)
[5G Telco Cloud from VMware](https://telco.vmware.com/)
[Maturing OpenStack Together To Solve Telco Needs from Red Hat](https://www.redhat.com/cms/managed-files/4.Nokia%20CloudBand%20&%20Red%20Hat%20-%20Maturing%20Openstack%20together%20to%20solve%20Telco%20needs%20Ehud%20Malik,%20Senior%20PLM,%20Nokia%20CloudBand.pdf)
[Red Hat telco ecosystem program](https://connect.redhat.com/en/programs/telco-ecosystem)
[OpenStack for Telcos by Canonical](https://ubuntu.com/blog/openstack-for-telcos-by-canonical)
[Open source NFV platform for 5G from Ubuntu](https://ubuntu.com/telco)
[Understanding 5G Technology from Verizon](https://www.verizon.com/5g/)
[Verizon and Unity partner to enable 5G & MEC gaming and enterprise applications](https://www.verizon.com/about/news/verizon-unity-partner-5g-mec-gaming-enterprise)
[Understanding 5G Technology from Intel](https://www.intel.com/content/www/us/en/wireless-network/what-is-5g.html)
[Understanding 5G Technology from Qualcomm](https://www.qualcomm.com/invention/5g/what-is-5g)
[Telco Acceleration with Xilinx](https://www.xilinx.com/applications/wired-wireless/telco.html)
[VIMs on OSM Public Wiki](https://osm.etsi.org/wikipub/index.php/VIMs)
[Amazon EC2 Overview and Networking Introduction for Telecom Companies](https://docs.aws.amazon.com/whitepapers/latest/ec2-networking-for-telecom/ec2-networking-for-telecom.pdf)
[Citrix Certified Associate – Networking(CCA-N)](http://training.citrix.com/cms/index.php/certification/networking/)
[Citrix Certified Professional – Virtualization(CCP-V)](https://www.globalknowledge.com/us-en/training/certification-prep/brands/citrix/section/virtualization/citrix-certified-professional-virtualization-ccp-v/)
[CCNP Routing and Switching](https://learningnetwork.cisco.com/s/ccnp-enterprise)
[Certified Information Security Manager(CISM)](https://www.isaca.org/credentialing/cism)
[Wireshark Certified Network Analyst (WCNA)](https://www.wiresharktraining.com/certification.html)
[Juniper Networks Certification Program Enterprise (JNCP)](https://www.juniper.net/us/en/training/certification/)
[Cloud Native Computing Foundation Training and Certification Program](https://www.cncf.io/certification/training/)
## Tools
[Open Stack](https://www.openstack.org/) is an open source cloud platform, deployed as infrastructure-as-a-service (IaaS) to orchestrate data center operations on bare metal, private cloud hardware, public cloud resources, or both (hybrid/multi-cloud architecture). OpenStack includes advance use of virtualization & SDN for network traffic optimization to handle the core cloud-computing services of compute, networking, storage, identity, and image services.
[StarlingX](https://www.starlingx.io/) is a complete cloud infrastructure software stack for the edge used by the most demanding applications in industrial IOT, telecom, video delivery and other ultra-low latency use cases.
[Airship](https://www.airshipit.org/) is a collection of open source tools for automating cloud provisioning and management. Airship provides a declarative framework for defining and managing the life cycle of open infrastructure tools and the underlying hardware.
[Network functions virtualization (NFV)](https://www.vmware.com/topics/glossary/content/network-functions-virtualization-nfv) is the replacement of network appliance hardware with virtual machines. The virtual machines use a hypervisor to run networking software and processes such as routing and load balancing. NFV allows for the separation of communication services from dedicated hardware, such as routers and firewalls. This separation means network operations can provide new services dynamically and without installing new hardware. Deploying network components with network functions virtualization only takes hours compared to months like with traditional networking solutions.
[Software Defined Networking (SDN)](https://www.vmware.com/topics/glossary/content/software-defined-networking) is an approach to networking that uses software-based controllers or application programming interfaces (APIs) to communicate with underlying hardware infrastructure and direct traffic on a network. This model differs from that of traditional networks, which use dedicated hardware devices (routers and switches) to control network traffic.
[Virtualized Infrastructure Manager (VIM)](https://www.cisco.com/c/en/us/td/docs/net_mgmt/network_function_virtualization_Infrastructure/3_2_2/install_guide/Cisco_VIM_Install_Guide_3_2_2/Cisco_VIM_Install_Guide_3_2_2_chapter_00.html) is a service delivery and reduce costs with high performance lifecycle management Manage the full lifecycle of the software and hardware comprising your NFV infrastructure (NFVI), and maintaining a live inventory and allocation plan of both physical and virtual resources.
[Management and Orchestration(MANO)](https://www.etsi.org/technologies/open-source-mano) is an ETSI-hosted initiative to develop an Open Source NFV Management and Orchestration (MANO) software stack aligned with ETSI NFV. Two of the key components of the ETSI NFV architectural framework are the NFV Orchestrator and VNF Manager, known as NFV MANO.
[Magma](https://www.magmacore.org/) is an open source software platform that gives network operators an open, flexible and extendable mobile core network solution. Their mission is to connect the world to a faster network by enabling service providers to build cost-effective and extensible carrier-grade networks. Magma is 3GPP generation (2G, 3G, 4G or upcoming 5G networks) and access network agnostic (cellular or WiFi). It can flexibly support a radio access network with minimal development and deployment effort.
[OpenRAN](https://open-ran.org/) is an intelligent Radio Access Network(RAN) integrated on general purpose platforms with open interface between software defined functions. Open RANecosystem enables enormous flexibility and interoperability with a complete openess to multi-vendor deployments.
[Open vSwitch(OVS)](https://www.openvswitch.org/)is an open source production quality, multilayer virtual switch licensed under the open source Apache 2.0 license. It is designed to enable massive network automation through programmatic extension, while still supporting standard management interfaces and protocols (NetFlow, sFlow, IPFIX, RSPAN, CLI, LACP, 802.1ag).
[Edge](https://www.ibm.com/cloud/what-is-edge-computing) is a distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers. This proximity to data at its source can deliver strong business benefits, including faster insights, improved response times and better bandwidth availability.
[Multi-access edge computing (MEC)](https://www.etsi.org/technologies/multi-access-edge-computing) is an Industry Specification Group (ISG) within ETSI to create a standardized, open environment which will allow the efficient and seamless integration of applications from vendors, service providers, and third-parties across multi-vendor Multi-access Edge Computing platforms.
[Virtualized network functions(VNFs)](https://www.juniper.net/documentation/en_US/cso4.1/topics/concept/nsd-vnf-overview.html) is a software application used in a Network Functions Virtualization (NFV) implementation that has well defined interfaces, and provides one or more component networking functions in a defined way. For example, a security VNF provides Network Address Translation (NAT) and firewall component functions.
[Cloud-Native Network Functions(CNF)](https://www.cncf.io/announcements/2020/11/18/cloud-native-network-functions-conformance-launched-by-cncf/) is a network function designed and implemented to run inside containers. CNFs inherit all the cloud native architectural and operational principles including Kubernetes(K8s) lifecycle management, agility, resilience, and observability.
[Physical Network Function(PNF)](https://www.mpirical.com/glossary/pnf-physical-network-function) is a physical network node which has not undergone virtualization. Both PNFs and VNFs (Virtualized Network Functions) can be used to form an overall Network Service.
[Network functions virtualization infrastructure(NFVI)](https://docs.vmware.com/en/VMware-vCloud-NFV/2.0/vmware-vcloud-nfv-reference-architecture-20/GUID-FBEA6C6B-54D8-4A37-87B1-D825F9E0DBC7.html) is the foundation of the overall NFV architecture. It provides the physical compute, storage, and networking hardware that hosts the VNFs. Each NFVI block can be thought of as an NFVI node and many nodes can be deployed and controlled geographically.
# Open Source Security
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
[Open Source Security Foundation (OpenSSF)](https://openssf.org/) is a cross-industry collaboration that brings together leaders to improve the security of open source software by building a broader community, targeted initiatives, and best practices. The OpenSSF brings together open source security initiatives under one foundation to accelerate work through cross-industry support. Along with the Core Infrastructure Initiative and the Open Source Security Coalition, and will include new working groups that address vulnerability disclosures, security tooling and more.
## Security Standards, Frameworks and Benchmarks
[STIGs Benchmarks - Security Technical Implementation Guides](https://public.cyber.mil/stigs/)
[CIS Benchmarks - CIS Center for Internet Security](https://www.cisecurity.org/cis-benchmarks/)
[CIS Top 18 Critical Security Controls](https://www.cisecurity.org/controls/cis-controls-list)
[OSSTMM (Open Source Security Testing Methodology Manual) PDF](https://github.com/mikeroyal/Open-Source-Security-Guide/files/8834704/osstmm.en.2.1.pdf)
[NIST Technical Guide to Information Security Testing and Assessment (PDF)](https://github.com/mikeroyal/Open-Source-Security-Guide/files/8834705/nistspecialpublication800-115.pdf)
[NIST - Current FIPS](https://www.nist.gov/itl/current-fips)
[ISO Standards Catalogue](https://www.iso.org/standards.html)
[Common Criteria for Information Technology Security Evaluation (CC)](https://www.commoncriteriaportal.org/cc/) is an international standard (ISO / IEC 15408) for computer security. It allows an objective evaluation to validate that a particular product satisfies a defined set of security requirements.
[ISO 22301](https://www.iso.org/en/contents/data/standard/07/51/75106.html) is the international standard that provides a best-practice framework for implementing an optimised BCMS (business continuity management system).
[ISO27001](https://www.iso.org/isoiec-27001-information-security.html) is the international standard that describes the requirements for an ISMS (information security management system). The framework is designed to help organizations manage their security practices in one place, consistently and cost-effectively.
[ISO 27701](https://www.iso.org/en/contents/data/standard/07/16/71670.html) specifies the requirements for a PIMS (privacy information management system) based on the requirements of ISO 27001.
It is extended by a set of privacy-specific requirements, control objectives and controls. Companies that have implemented ISO 27001 will be able to use ISO 27701 to extend their security efforts to cover privacy management.
[EU GDPR (General Data Protection Regulation)](https://gdpr.eu/) is a privacy and data protection law that supersedes existing national data protection laws across the EU, bringing uniformity by introducing just one main data protection law for companies/organizations to comply with.
[CCPA (California Consumer Privacy Act)](https://www.oag.ca.gov/privacy/ccpa) is a data privacy law that took effect on January 1, 2020 in the State of California. It applies to businesses that collect California residents’ personal information, and its privacy requirements are similar to those of the EU’s GDPR (General Data Protection Regulation).
[Payment Card Industry (PCI) Data Security Standards (DSS)](https://docs.microsoft.com/en-us/microsoft-365/compliance/offering-pci-dss) is a global information security standard designed to prevent fraud through increased control of credit card data.
[SOC 2](https://www.aicpa.org/interestareas/frc/assuranceadvisoryservices/aicpasoc2report.html) is an auditing procedure that ensures your service providers securely manage your data to protect the interests of your comapny/organization and the privacy of their clients.
[NIST CSF](https://www.nist.gov/national-security-standards) is a voluntary framework primarily intended for critical infrastructure organizations to manage and mitigate cybersecurity risk based on existing best practice.
## Security Tools
[AppArmor](https://www.apparmor.net/) is an effective and easy-to-use Linux application security system. AppArmor proactively protects the operating system and applications from external or internal threats, even zero-day attacks, by enforcing good behavior and preventing both known and unknown application flaws from being exploited. AppArmor supplements the traditional Unix discretionary access control (DAC) model by providing mandatory access control (MAC). It has been included in the mainline Linux kernel since version 2.6.36 and its development has been supported by Canonical since 2009.
[SELinux](https://github.com/SELinuxProject/selinux) is a security enhancement to Linux which allows users and administrators more control over access control. Access can be constrained on such variables as which users and applications can access which resources. These resources may take the form of files. Standard Linux access controls, such as file modes (-rwxr-xr-x) are modifiable by the user and the applications which the user runs. Conversely, SELinux access controls are determined by a policy loaded on the system which may not be changed by careless users or misbehaving applications.
[Control Groups(Cgroups)](https://www.redhat.com/sysadmin/cgroups-part-one) is a Linux kernel feature that allows you to allocate resources such as CPU time, system memory, network bandwidth, or any combination of these resources for user-defined groups of tasks (processes) running on a system.
[EarlyOOM](https://github.com/rfjakob/earlyoom) is a daemon for Linux that enables users to more quickly recover and regain control over their system in low-memory situations with heavy swap usage.
[Libgcrypt](https://www.gnupg.org/related_software/libgcrypt/) is a general purpose cryptographic library originally based on code from GnuPG.
[Pi-hole](https://pi-hole.net/) is a [DNS sinkhole](https://en.wikipedia.org/wiki/DNS_Sinkhole) that protects your devices from unwanted content, without installing any client-side software, intended for use on a private network. It is designed for use on embedded devices with network capability, such as the Raspberry Pi, but it can be used on other machines running Linux and cloud implementations.
[Aircrack-ng](https://www.aircrack-ng.org/) is a network software suite consisting of a detector, packet sniffer, WEP and WPA/WPA2-PSK cracker and analysis tool for 802.11 wireless LANs. It works with any wireless network interface controller whose driver supports raw monitoring mode and can sniff 802.11a, 802.11b and 802.11g traffic.
[Acra](https://cossacklabs.com/acra) is a single database security suite with 9 strong security controls: application level encryption, searchable encryption, data masking, data tokenization, secure authentication, data leakage prevention, database request firewall, cryptographically signed audit logging, security events automation. It is designed to cover the most important data security requirements with SQL and NoSQL databases and distributed apps in a fast, convenient, and reliable way.
[Netdata](https://github.com/netdata/netdata) is high-fidelity infrastructure monitoring and troubleshooting, real-time monitoring Agent collects thousands of metrics from systems, hardware, containers, and applications with zero configuration. It runs permanently on all your physical/virtual servers, containers, cloud deployments, and edge/IoT devices, and is perfectly safe to install on your systems mid-incident without any preparation.
[Trivy](https://aquasecurity.github.io/trivy/) is a comprehensive security scanner for vulnerabilities in container images, file systems, and Git repositories, as well as for configuration issues and hard-coded secrets.
[Lynis](https://cisofy.com/lynis/) is a security auditing tool for Linux, macOS, and UNIX-based systems. Assists with compliance testing (HIPAA/ISO27001/PCI DSS) and system hardening. Agentless, and installation optional.
[OWASP Nettacker](https://github.com/OWASP/Nettacker) is a project created to automate information gathering, vulnerability scanning and eventually generating a report for networks, including services, bugs, vulnerabilities, misconfigurations, and other information. This software will utilize TCP SYN, ACK, ICMP, and many other protocols in order to detect and bypass Firewall/IDS/IPS devices.
[Terrascan](https://runterrascan.io/) is a static code analyzer for Infrastructure as Code to mitigate risk before provisioning cloud native infrastructure.
[Sliver](https://github.com/BishopFox/sliver) is an open source cross-platform adversary emulation/red team framework, it can be used by organizations of all sizes to perform security testing. Sliver's implants support C2 over Mutual TLS (mTLS), WireGuard, HTTP(S), and DNS and are dynamically compiled with per-binary asymmetric encryption keys.
[Attack Surface Analyzer](https://github.com/microsoft/AttackSurfaceAnalyzer) is a [Microsoft](https://github.com/microsoft/) developed open source security tool that analyzes the attack surface of a target system and reports on potential security vulnerabilities introduced during the installation of software or system misconfiguration.
[Intel Owl](https://intelowl.readthedocs.io/) is an Open Source Intelligence, or OSINT solution to get threat intelligence data about a specific file, an IP or a domain from a single API at scale. It integrates a number of analyzers available online and a lot of cutting-edge malware analysis tools.
[Deepfence ThreatMapper](https://deepfence.io/) is a runtime tool that hunts for vulnerabilities in your cloud native production platforms(Linux, K8s, AWS Fargate and more.), and ranks these vulnerabilities based on their risk-of-exploit.
[Dockle](https://containers.goodwith.tech/) is a Container Image Linter for Security and helping build the Best-Practice Docker Image.
[RustScan](https://github.com/RustScan/RustScan) is a Modern Port Scanner.
[gosec](https://github.com/securego/gosec) is a Golang Security Checker that inspects source code for security problems by scanning the Go AST.
[Prowler](https://github.com/prowler-cloud/prowler) is an Open Source security tool to perform AWS security best practices assessments, audits, incident response, continuous monitoring, hardening and forensics readiness. It contains more than 240 controls covering CIS, PCI-DSS, ISO27001, GDPR, HIPAA, FFIEC, SOC2, AWS FTR, ENS and custom security frameworks.
[Burp Suite](https://portswigger.net/burp) is a leading range of cybersecurity tools.
[KernelCI](https://foundation.kernelci.org/) is a community-based open source distributed test automation system focused on upstream kernel development. The primary goal of KernelCI is to use an open testing philosophy to ensure the quality, stability and long-term maintenance of the Linux kernel.
[Continuous Kernel Integration project](https://github.com/cki-project) helps find bugs in kernel patches before they are commited to an upstram kernel tree. We are team of kernel developers, kernel testers, and automation engineers.
[eBPF](https://ebpf.io) is a revolutionary technology that can run sandboxed programs in the Linux kernel without changing kernel source code or loading kernel modules. By making the Linux kernel programmable, infrastructure software can leverage existing layers, making them more intelligent and feature-rich without continuing to add additional layers of complexity to the system.
[Cilium](https://cilium.io/) uses eBPF to accelerate getting data in and out of L7 proxies such as Envoy, enabling efficient visibility into API protocols like HTTP, gRPC, and Kafka.
[Hubble](https://github.com/cilium/hubble) is a Network, Service & Security Observability for Kubernetes using eBPF.
[Istio](https://istio.io/) is an open platform to connect, manage, and secure microservices. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes and Mesos.
[Certgen](https://github.com/cilium/certgen) is a convenience tool to generate and store certificates for Hubble Relay mTLS.
[Scapy](https://scapy.net/) is a python-based interactive packet manipulation program & library.
[syzkaller](https://github.com/google/syzkaller) is an unsupervised, coverage-guided kernel fuzzer.
[SchedViz](https://github.com/google/schedviz) is a tool for gathering and visualizing kernel scheduling traces on Linux machines.
[oss-fuzz](https://google.github.io/oss-fuzz/) aims to make common open source software more secure and stable by combining modern fuzzing techniques with scalable, distributed execution.
[OSSEC](https://www.ossec.net/) is a free, open-source host-based intrusion detection system. It performs log analysis, integrity checking, Windows registry monitoring, rootkit detection, time-based alerting, and active response.
[Metasploit Project](https://www.metasploit.com/) is a computer security project that provides information about security vulnerabilities and aids in penetration testing and IDS signature development.
[Wfuzz](https://github.com/xmendez/wfuzz) was created to facilitate the task in web applications assessments and it is based on a simple concept: it replaces any reference to the FUZZ keyword by the value of a given payload.
[Nmap](https://nmap.org/) is a security scanner used to discover hosts and services on a computer network, thus building a "map" of the network.
[Patchwork](https://github.com/getpatchwork/patchwork) is a web-based patch tracking system designed to facilitate the contribution and management of contributions to an open-source project.
[pfSense](https://www.pfsense.org/) is a free and open source firewall and router that also features unified threat management, load balancing, multi WAN, and more.
[Snowpatch](https://github.com/ruscur/snowpatch) is a continuous integration tool for projects using a patch-based, mailing-list-centric git workflow. This workflow is used by a number of well-known open source projects such as the Linux kernel.
[Snort](https://www.snort.org/) is an open-source, free and lightweight network intrusion detection system (NIDS) software for Linux and Windows to detect emerging threats.
[Wireshark](https://www.wireshark.org/) is a free and open-source packet analyzer. It is used for network troubleshooting, analysis, software and communications protocol development, and education.
[OpenSCAP](https://www.open-scap.org/) is U.S. standard maintained by [National Institute of Standards and Technology (NIST)](https://www.nist.gov/). It provides multiple tools to assist administrators and auditors with assessment, measurement, and enforcement of security baselines. OpenSCAP maintains great flexibility and interoperability by reducing the costs of performing security audits. Whether you want to evaluate DISA STIGs, NIST‘s USGCB, or Red Hat’s Security Response Team’s content, all are supported by OpenSCAP.
[Tink](https://github.com/google/tink) is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and harder to misuse.
[OWASP](https://www.owasp.org/index.php/Main_Page) is an online community, produces freely-available articles, methodologies, documentation, tools, and technologies in the field of web application security.
[Open Vulnerability and Assessment Language](https://oval.mitre.org/) is a community effort to standardize how to assess and report upon the machine state of computer systems. OVAL includes a language to encode system details, and community repositories of content. Tools and services that use OVAL provide enterprises with accurate, consistent, and actionable information to improve their security.
[ClamAV](https://www.clamav.net/) is an open source antivirus engine for detecting trojans, viruses, malware & other malicious threats.
### Security Tutorials & Resources
- [Microsoft Open Source Software Security](https://www.microsoft.com/en-us/securityengineering/opensource)
- [Cloudflare Open Source Security](https://cloudflare.github.io)
- [The Seven Properties of Highly Secure Devices](https://www.microsoft.com/en-us/research/publication/seven-properties-highly-secure-devices/)
- [How Layer 7 of the Internet Works](https://www.cloudflare.com/learning/ddos/what-is-layer-7/)
- [The 7 Kinds of Security](https://www.veracode.com/sites/default/files/Resources/eBooks/7-kinds-of-security.pdf)
- [The Libgcrypt Reference Manual](https://www.gnupg.org/documentation/manuals/gcrypt/)
- [The Open Web Application Security Project(OWASP) Foundation Top 10](https://owasp.org/www-project-top-ten/)
- [Best Practices for Using Open Source Code from The Linux Foundation](https://www.linuxfoundation.org/blog/2017/11/best-practices-using-open-source-code/)
### Security Certifications
- [AWS Certified Security - Specialty Certification](https://aws.amazon.com/certification/certified-security-specialty/)
- [Microsoft Certified: Azure Security Engineer Associate](https://docs.microsoft.com/en-us/learn/certifications/azure-security-engineer)
- [Google Cloud Certified Professional Cloud Security Engineer](https://cloud.google.com/certification/cloud-security-engineer)
- [Cisco Security Certifications](https://www.cisco.com/c/en/us/training-events/training-certifications/certifications/security.html)
- [The Red Hat Certified Specialist in Security: Linux](https://www.redhat.com/en/services/training/ex415-red-hat-certified-specialist-security-linux-exam)
- [Linux Professional Institute LPIC-3 Enterprise Security Certification](https://www.lpi.org/our-certifications/lpic-3-303-overview)
- [Cybersecurity Training and Courses from IBM Skills](https://www.ibm.com/skills/topics/cybersecurity/)
- [Cybersecurity Courses and Certifications by Offensive Security](https://www.offensive-security.com/courses-and-certifications/)
- [RSA Certification Program](https://community.rsa.com/community/training/certification)
- [Check Point Certified Security Expert(CCSE) Certification](https://training-certifications.checkpoint.com/#/courses/Check%20Point%20Certified%20Expert%20(CCSE)%20R80.x)
- [Check Point Certified Security Administrator(CCSA) Certification](https://training-certifications.checkpoint.com/#/courses/Check%20Point%20Certified%20Admin%20(CCSA)%20R80.x)
- [Check Point Certified Security Master (CCSM) Certification](https://training-certifications.checkpoint.com/#/courses/Check%20Point%20Certified%20Master%20(CCSM)%20R80.x)
- [Certified Cloud Security Professional(CCSP) Certification](https://www.isc2.org/Certifications/CCSP)
- [Certified Information Systems Security Professional (CISSP) Certification](https://www.isc2.org/Certifications/CISSP)
- [CCNP Routing and Switching](https://learningnetwork.cisco.com/s/ccnp-enterprise)
- [Certified Information Security Manager(CISM)](https://www.isaca.org/credentialing/cism)
- [Wireshark Certified Network Analyst (WCNA)](https://www.wiresharktraining.com/certification.html)
- [Juniper Networks Certification Program Enterprise (JNCP)](https://www.juniper.net/us/en/training/certification/)
- [Security Training Certifications and Courses from Udemy](https://www.udemy.com/courses/search/?src=ukw&q=secuirty)
- [Security Training Certifications and Courses from Coursera](https://www.coursera.org/search?query=security&)
- [Security Certifications Training from Pluarlsight](https://www.pluralsight.com/browse/information-cyber-security/security-certifications)
## Contribute
- [x] If would you like to contribute to this guide simply make a [Pull Request](https://github.com/mikeroyal/Kubernetes-Guide/pulls).
## License
[Back to the Top](https://github.com/mikeroyal/Kubernetes-Guide/blob/main/README.md#table-of-contents)
Distributed under the [Creative Commons Attribution 4.0 International (CC BY 4.0) Public License](https://creativecommons.org/licenses/by/4.0/).