Virtualization-Emulation-Guide
Virtualization/Emulation Guide
https://github.com/mikeroyal/Virtualization-Emulation-Guide
Last synced: 5 days ago
JSON representation
-
Go Learning Resources
-
Go Tools and Frameworks
-
Interfaces
- golang tools
- Go in Visual Studio Code
- NATS - 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.
- Fiber
- Traefik
- Gitea - 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 - 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 - 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 - over-HTTPS in a browser or Kubernetes clusters.
- Act
- Glide
- BadgerDB - 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
- Codis
- zap
- HttpRouter
- Gorilla WebSocket
- Delve
- GORM
- Go Patterns
-
-
Java Learning Resources
-
Interfaces
- Google Developers Training
- Java
- The Eclipse Foundation
- Getting Started with Java
- Oracle Java certifications from Oracle University
- Java Tutorial by W3Schools
- Getting Started with Java in Visual Studio Code
- Google Java Style Guide
- AOSP Java Code Style for Contributors
- Chromium Java style guide
- Get Started with OR-Tools for Java
- Getting started with Java Tool Installer task for Azure Pipelines
- Gradle User Manual
-
-
Java Tools, Libraries, and Frameworks
-
Interfaces
- Java SE
- JDK Development Tools
- IntelliJ IDEA
- RxJava - based programs by using observable sequences. It extends the [observer pattern](http://en.wikipedia.org/wiki/Observer_pattern) to support sequences of data/events and adds operators that allow you to compose sequences together declaratively while abstracting away concerns about things like low-level threading, synchronization, thread-safety and concurrent data structures.
- Guava
- Retrofit - safe HTTP client for Android and Java develped by Square.
- Apache Spark - 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 Flink - and batch-processing capabilities with elegant and fluent APIs in Java and Scala.
- Fastjson
- libGDX - platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, Mac OS X, Android, your WebGL enabled browser and iOS.
- Jenkins - source automation server. Built with Java, it provides over 1700 [plugins](https://plugins.jenkins.io/) to support automating virtually anything, so that humans can actually spend their time doing things machines cannot.
- DBeaver - platform database tool for developers, SQL programmers, database administrators and analysts. Supports any database which has JDBC driver (which basically means - ANY database). EE version also supports non-JDBC datasources (MongoDB, Cassandra, Redis, DynamoDB, etc).
- Redisson - Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, and local cache.
- GraalVM - based languages like Java, Scala, Clojure, Kotlin, and LLVM-based languages such as C and C++.
- Gradle - language software development. From mobile apps to microservices, from small startups to big enterprises, Gradle helps teams build, automate and deliver better software, faster. Write in Java, C++, Python or your language of choice.
- Apache Groovy - typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
- JaCoCo
- Junit
- Mockito
- SpotBugs
- YourKit
- Java Design Patterns
- Elasticsearch
- okhttp
- LeakCanary
- Apache Groovy - typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
- NetBeans
-
-
Kubernetes Learning Resources
-
Interfaces
- Kubernetes (K8s) - source system for automating deployment, scaling, and management of containerized applications.
- Getting Kubernetes Certifications
- Getting started with Kubernetes on AWS
- Kubernetes on Microsoft Azure
- Intro to Azure Kubernetes Service
- Azure Red Hat OpenShift
- Getting started with Google Cloud
- Getting started with Kubernetes on Red Hat
- Red Hat OpenShift on IBM Cloud
- Enable OpenShift Virtualization on Red Hat OpenShift
- YAML basics in Kubernetes
- Elastic Cloud on Kubernetes
- Running Apache Spark on Kubernetes
- Kubernetes Across VMware vRealize Automation
- VMware Tanzu Kubernetes Grid
- All the Ways VMware Tanzu Works with AWS
- VMware Tanzu Education
- Using Ansible in a Cloud-Native Kubernetes Environment
- Setting up a Kubernetes cluster using Vagrant and Ansible
- Running MongoDB with Kubernetes
- Kubernetes Fluentd
- Understanding the new GitLab Kubernetes Agent
- Intro Local Process with Kubernetes for Visual Studio 2019
- Kubernetes Contributors
- KubeAcademy from VMware
- Kubernetes Tutorials from Pulumi
- Scalable Microservices with Kubernetes course from Udacity
- Docker and Kubernetes
- Getting started with Kubernetes on IBM
- Kubernetes on Microsoft Azure
- Red Hat OpenShift on IBM Cloud
- Azure Red Hat OpenShift
- Kubernetes on Microsoft Azure
- Kubernetes Playground by Katacoda
- Enable OpenShift Virtualization on Red Hat OpenShift
- YAML basics in Kubernetes
-
-
Kubernetes Tools, Frameworks, and Projects
-
Interfaces
- Amazon EKS
- AWS Controllers for Kubernetes (ACK) - available Kubernetes applications that utilize AWS services.
- Odo
- Thanos
- Rook - 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.
- Kubespray - 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.
- Helm
- Knative - 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
- Etcd - 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.
- OpenEBS - based tool to create stateful applications using Container Attached Storage.
- Container Storage Interface (CSI) - in.
- MicroK8s - the-air updates for ultra-reliable operations. It is supported on Linux, Windows, and MacOS.
- Charmed Kubernetes - key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.
- Grafana Kubernetes App
- KubeEdge
- Lens
- kind
- Flux CD
- Platform9 Managed Kubernetes (PMK) - 2 operations with 99.9% SLA on any environment, whether in data-centers, public clouds, or at the edge.
- Container Engine for Kubernetes (OKE) - 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.
- OKD - 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.
- Containerd - level storage to network attachments and beyond. It is available for Linux and Windows.
- Azure Kubernetes Service (AKS) - grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.
- Kata Operator
- OpenShift Hive
- VMware Tanzu
- KubeInit
- Rancher
- K3s - constrained, remote locations or inside IoT appliances.
- Grafana Kubernetes App
- Anthos - premises environments.
- Charmed Kubernetes - key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.
-
-
MATLAB Learning Resources
-
Interfaces
- MATLAB
- MATLAB Documentation
- Getting Started with MATLAB
- MATLAB and Simulink Training from MATLAB Academy
- MathWorks Certification Program
- Apache Spark Basics | MATLAB & Simulink
- MATLAB Hadoop and Spark | MATLAB & Simulink
- MATLAB Online Courses from Udemy
- MATLAB Online Courses from Coursera
- MATLAB Online Courses from edX
- Building a MATLAB GUI
- MATLAB Style Guidelines 2.0
- Setting Up Git Source Control with MATLAB & Simulink
- Pull, Push and Fetch Files with Git with MATLAB & Simulink
- Create New Repository with MATLAB & Simulink
- PRMLT
- MathWorks Certification Program
- PRMLT
-
-
MATLAB Tools, Libraries, Frameworks
-
Interfaces
- MATLAB and Simulink Services & Applications List
- MATLAB in the Cloud - cloud) including [AWS](https://aws.amazon.com/) and [Azure](https://azure.microsoft.com/).
- MATLAB Online™
- Simulink - Based Design. It supports simulation, automatic code generation, and continuous testing of embedded systems.
- Simulink Online™
- MATLAB Drive™
- Parallel Computing Toolbox™ - intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.
- Image Processing Toolbox™ - standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing.
- Computer Vision Toolbox™
- Statistics and Machine Learning Toolbox™
- Lidar Toolbox™ - camera cross calibration for workflows that combine computer vision and lidar processing.
- Mapping Toolbox™
- UAV Toolbox
- Partial Differential Equation Toolbox™
- ROS Toolbox
- Robotics Toolbox™ - holonomic vehicle. The Toolbox also including a detailed Simulink model for a quadrotor flying robot.
- Deep Learning Toolbox™ - term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. It can exchange models with TensorFlow™ and PyTorch through the ONNX format and import models from TensorFlow-Keras and Caffe. The toolbox supports transfer learning with DarkNet-53, ResNet-50, NASNet, SqueezeNet and many other pretrained models.
- Reinforcement Learning Toolbox™ - making algorithms for complex applications such as resource allocation, robotics, and autonomous systems.
- Deep Learning HDL Toolbox™ - built bitstreams for running a variety of deep learning networks on supported Xilinx® and Intel® FPGA and SoC devices. Profiling and estimation tools let you customize a deep learning network by exploring design, performance, and resource utilization tradeoffs.
- Model Predictive Control Toolbox™ - loop simulations, you can evaluate controller performance.
- Vision HDL Toolbox™ - streaming algorithms for the design and implementation of vision systems on FPGAs and ASICs. It provides a design framework that supports a diverse set of interface types, frame sizes, and frame rates. The image processing, video, and computer vision algorithms in the toolbox use an architecture appropriate for HDL implementations.
- SoC Blockset™
- Wireless HDL Toolbox™ - verified, hardware-ready Simulink® blocks and subsystems for developing 5G, LTE, and custom OFDM-based wireless communication applications. It includes reference applications, IP blocks, and gateways between frame and sample-based processing.
- ThingSpeak™ - of-concept IoT systems that require analytics.
- hctsa - series analysis using Matlab.
- Plotly
- YALMIP
- GNU Octave - level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
- hctsa - series analysis using Matlab.
- MATLAB Schemer
- LRSLibrary - Rank and Sparse Tools for Background Modeling and Subtraction in Videos. The library was designed for moving object detection in videos, but it can be also used for other computer vision and machine learning problems.
- Image Processing Toolbox™ - standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing.
- SEA-MAT
- Gramm - level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
- GNU Octave - level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
-
-
Models of FPGA Boards
-
Networking Tools & Concepts
- cURL - 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.
- Authelia - 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)
- Proxmox Virtual Environment(VE) - 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
Categories
Kubernetes Learning Resources
36
C/C++ Learning Resources
35
MATLAB Tools, Libraries, Frameworks
35
Kubernetes Tools, Frameworks, and Projects
33
C/C++ Tools, Libraries and Frameworks
29
Python Frameworks and Tools
29
Java Tools, Libraries, and Frameworks
27
C# Tools, Libraries and Frameworks
24
Swift Learning Resources
22
Network Learning Resources
20
Swift Tools and Frameworks
20
Go Tools and Frameworks
20
Rust Tools, Libraries, and Frameworks
20
FPGA Learning Resources
19
FPGA Tools
19
Docker Tools
18
MATLAB Learning Resources
18
CUDA Tools Libraries, and Frameworks
18
C# Learning Resources
16
Python Learning Resources
15
Java Learning Resources
13
Verilog/SystemVerilog Learning Resources
12
Go Learning Resources
12
Networking Tools & Concepts
11
Verilog/SystemVerilog Tools
10
Docker Learning Resources
9
CUDA Learning Resources
9
Rust Learning Resources
7
Models of FPGA Boards
4
Network Protocols
4
Rust-based Operating Systems
2
License
1
Sub Categories
Keywords
python
18
golang
17
go
13
rust
11
java
9
swift
8
cuda
8
cpp
8
http
7
cli
6
dotnet
5
deep-learning
5
gpu
5
curl
5
web
4
package-manager
4
fpga
4
framework
4
visual-studio
4
verilog
4
arm
4
security
4
kubernetes
4
machine-learning
4
nvidia
4
carthage
4
azure
3
x86-64
3
x86
3
ios
3
csharp
3
cxx14
3
cpp17
3
xcode
3
devops
3
web-framework
3
matlab
3
docker
3
reverse-engineering
3
cpp14
3
android
3
c
3
c-sharp
3
cpp11
3
eda
2
kotlin
2
design-patterns
2
k8s
2
visualization
2
iot
2