https://github.com/faizan35/devops_tools

A comprehensive list of popular DevOps tools categorized by their functions, formatted in Markdown for terminal viewing, encompassing version control, CI/CD, containerization, IaC, monitoring, collaboration, and more.
https://github.com/faizan35/devops_tools

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A comprehensive list of popular DevOps tools categorized by their functions, formatted in Markdown for terminal viewing, encompassing version control, CI/CD, containerization, IaC, monitoring, collaboration, and more.

• Host: GitHub
• URL: https://github.com/faizan35/devops_tools
• Owner: faizan35
• Created: 2023-09-30T15:10:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-02T18:51:07.000Z (12 months ago)
• Last Synced: 2024-01-02T19:45:49.010Z (12 months ago)
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DevOps Tools

A repository providing an overview of popular DevOps concepts and tools categorized for different stages of the software development lifecycle.

## Concepts

### 1. Continuous Integration (CI)

- Automating the code integration process to identify and fix issues early.

### 2. Continuous Delivery (CD)

- Extending CI by automating the deployment process, ensuring code is always in a deployable state.

### 3. Continuous Deployment

- Automatically deploying code changes to production after passing automated tests.

### 4. Infrastructure as Code (IaC)

- Managing and provisioning infrastructure through code for consistency and versioning.

### 5. Microservices Architecture

- Designing applications as a collection of loosely coupled services.

### 6. Containerization

- Using containers (e.g., Docker) to package and run applications consistently across different environments.

### 7. Orchestration

- Managing and coordinating multiple containers in complex applications (e.g., Kubernetes).

### 8. Version Control

- Using tools like Git to manage and track changes in the codebase.

### 9. Monitoring and Logging

- Implementing tools for real-time monitoring, error tracking, and logging (e.g., Prometheus, ELK stack).

### 10. Collaboration and Communication

- Emphasizing communication and collaboration between development and operations teams.

## Tools

### Source Code Management:

- Git

- GitHub

- GitLab

- Bitbucket

### Build and Automation:

- Jenkins

- Travis CI

- CircleCI

- Maven

- Gradle

- Apache Ant

### Artifact Management:

- Nexus Repository Manager

- JFrog Artifactory

### Configuration Management:

- Ansible

- Puppet

- Chef

### Containerization and Orchestration:

- Docker

- Kubernetes

- OpenShift

- Amazon ECS

- Google Kubernetes Engine (GKE)

### Continuous Integration and Deployment:

- Jenkins

- Travis CI

- CircleCI

- GitLab CI/CD

- TeamCity

### Infrastructure as Code (IaC):

- Terraform

- AWS CloudFormation

- Azure Resource Manager (ARM) Templates

- Google Cloud Deployment Manager

### Monitoring and Logging:

- Prometheus

- Grafana

- ELK Stack (Elasticsearch, Logstash, Kibana)

- Splunk

- New Relic

### Collaboration and Communication:

- Slack

- Microsoft Teams

- Mattermost

- HipChat

### Testing:

- Selenium

- JUnit

- TestNG

### Continuous Delivery Platforms:

- Spinnaker

- GoCD

### Security:

- SonarQube

- OWASP ZAP (Zed Attack Proxy)

### Collaborative Development:

- Jira

- Confluence

- GitLab Issues

- GitHub Issues

### Cloud Platforms:

- AWS (Amazon Web Services)

- Azure (Microsoft Azure)

- GCP (Google Cloud Platform)

### Performance Monitoring:

- AppDynamics

- Dynatrace

### Serverless Computing:

- AWS Lambda

- Azure Functions

- Google Cloud Functions

> **Note:-** The choice of DevOps tools often depends on specific project requirements, the existing technology stack, and team preferences and expertise. Organizations commonly use a combination of these tools to build a comprehensive DevOps toolchain.

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This the tools i picked, i wants to become devops engineer in less time which tools and concepts i should focus more and which tools to focus less , so that i dosent waste time in some tool or concepts that is less used.

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# High Priority Concepts

## 1. Continuous Integration (CI)

- Automating the code integration process to identify and fix issues early.

## 2. Version Control

- Using tools like Git to manage and track changes in the codebase.

## 3. Containerization and Orchestration

- Using containers (e.g., Docker) to package and run applications consistently.

- Managing and coordinating multiple containers in complex applications (e.g., Kubernetes).

## 4. Infrastructure as Code (IaC)

- Managing and provisioning infrastructure through code for consistency and versioning.

## 5. Collaboration and Communication

- Emphasizing communication and collaboration between development and operations teams.

## 6. Monitoring and Logging

- Implementing tools for real-time monitoring, error tracking, and logging (e.g., Prometheus, Grafana).

## 7. Continuous Delivery Platforms

- Understanding continuous delivery platforms, with a focus on Spinnaker.

## 8. Security

- Ensuring code and system security using tools like SonarQube and OWASP ZAP.

# High Priority Tools

## Source Code Management

- Git

- GitHub

## Build and Automation

- Jenkins

## Containerization and Orchestration

- Docker

- Kubernetes

## Continuous Integration and Deployment

- Jenkins

## Infrastructure as Code (IaC)

- Terraform

## Monitoring and Logging

- Prometheus

- Grafana

## Collaboration and Communication

- Slack

- Microsoft Teams

## Testing

- Selenium

## Continuous Delivery Platforms

- Spinnaker

## Security

- SonarQube

- OWASP ZAP

# Medium Priority Concepts

## 1. Microservices Architecture

- Designing applications as a collection of loosely coupled services.

## 2. Artifact Management

- Managing dependencies using tools like Nexus Repository Manager and JFrog Artifactory.

## 3. Build and Automation

- Understanding build automation tools like Maven, Gradle, Apache Ant.

## 4. Configuration Management

- Automating configuration tasks using tools like Ansible.

## 5. Testing

- Understanding testing frameworks like JUnit and TestNG.

## 6. Continuous Deployment

- Understanding the concept of automatically deploying code changes to production after passing automated tests.

# Medium Priority Tools

## Microservices Architecture

- Conceptual understanding, practical application as needed.

## Artifact Management

- Nexus Repository Manager

- JFrog Artifactory

## Build and Automation

- Maven

- Gradle

- Apache Ant

## Configuration Management

- Ansible

## Testing

- JUnit

- TestNG

## Continuous Deployment

- As part of CI/CD pipelines.

# Lower Priority Concepts

## 1. Performance Monitoring

- Monitoring application performance using tools like AppDynamics, Dynatrace.

## 2. Serverless Computing

- Understanding serverless computing concepts and tools like AWS Lambda.

# Lower Priority Tools

## Performance Monitoring

- AppDynamics

- Dynatrace

## Serverless Computing

- AWS Lambda

Keep in mind that priorities can vary based on specific project requirements and industry trends. Regularly reassess and adjust your focus as you progress in your DevOps journey.

---

### **Focus More:**

1. **Continuous Integration (CI):** Streamlines code integration, catches issues early, and fosters agile development.

2. **Version Control (Git/GitHub):** Essential for collaboration, tracking changes, and maintaining a versioned codebase.

3. **Containerization and Orchestration (Docker, Kubernetes):** Ensures consistent, scalable deployments across environments.

4. **Infrastructure as Code (IaC - Terraform):** Automates and standardizes infrastructure provisioning for consistency.

5. **Collaboration and Communication (Slack, Microsoft Teams):** Facilitates efficient team communication and collaboration.

6. **Monitoring and Logging (Prometheus, Grafana):** Provides real-time visibility for issue identification and resolution.

7. **Continuous Delivery Platforms (Spinnaker):** Automates and streamlines the application delivery process.

8. **Security (SonarQube, OWASP ZAP):** Ensures code integrity and identifies security vulnerabilities.

9. **Source Code Management (Git, GitHub):** Industry-standard tools for version control and collaboration.

10. **Containerization (Docker):** Essential for packaging and running applications consistently.

### **Focus Less:**

1. **Microservices Architecture:** Valuable but may not be universally applicable initially.

2. **Artifact Management (Nexus, JFrog Artifactory):** Explore as needed based on project complexity.

3. **Build and Automation Tools (Maven, Gradle):** Secondary to mastering Jenkins for CI/CD.

4. **Configuration Management (Ansible):** Important but of lower priority depending on project scale.

5. **Testing (JUnit, TestNG):** Secondary to mastering Selenium for web application testing.

6. **Continuous Deployment:** Considered of medium priority based on organizational policies.

7. **Performance Monitoring Tools (AppDynamics, Dynatrace):** Lower priority for smaller projects.

8. **Serverless Computing (AWS Lambda):** Explore as needed, focusing on core concepts initially.

9. **Collaborative Development (Jira):** Important for project management but may be explored as needed.

10. **Cloud Platforms (AWS):** Explore as needed based on project and career requirements.

---

### Focus More:

1. Git: Essential for version control. It's practically a must-know for any DevOps engineer.

2. Jenkins: A popular CI/CD tool with a large user base. Understanding its ins and outs

   will be valuable.

3. Docker: Containerization is a fundamental concept, and Docker is widely adopted in

   the industry.

4. Kubernetes: As container orchestration is becoming standard, Kubernetes skills are

   highly sought after.

5. Terraform: laC is crucial, and Terraform is widely used for provisioning and managing

   infrastructure.

6. Prometheus and Grafana: Monitoring is a key aspect of DevOps, and these tools are

   frequently used together for effective monitoring and visualization.

### Focus Less (But Still Good to Know):

1. Ansible: While valuable for configuration management, it might be good for Tom to

   have a basic understanding but not necessarily dive too deep initially.

2. Slack: It's widely used, but mastering it doesn't take as much time as some other

   tools. Basic proficiency should be enough initially.

3. GitHub: Tom can focus on understanding the basics of Git and version control, and

   later explore more advanced GitHub features.

4. JFrog Artifactory: Important for artifact management, but Tom might not need an in-

   depth knowledge initially.

5. Selenium: It's crucial for automated testing, but Tom can start with the basics and

   then delve deeper as needed.

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