AWS Certified DevOps
1 Domain 1: SDLC Automation
1.1 Continuous Integration and Continuous Deployment (CICD)
1.1 1 Design and implement CICD pipelines
1.1 2 Manage code repositories
1.1 3 Implement deployment strategies
1.2 Infrastructure as Code (IaC)
1.2 1 Define and deploy infrastructure using AWS CloudFormation
1.2 2 Manage and modularize templates
1.2 3 Implement service and infrastructure bluegreen deployments
1.3 Configuration Management
1.3 1 Automate configuration management
1.3 2 Implement and manage configuration changes
1.3 3 Implement and manage infrastructure changes
1.4 Monitoring and Logging
1.4 1 Design and implement logging and monitoring
1.4 2 Analyze and troubleshoot issues
1.4 3 Implement and manage alarms and notifications
2 Domain 2: Configuration Management and Infrastructure as Code
2.1 Infrastructure as Code (IaC)
2.1 1 Define and deploy infrastructure using AWS CloudFormation
2.1 2 Manage and modularize templates
2.1 3 Implement service and infrastructure bluegreen deployments
2.2 Configuration Management
2.2 1 Automate configuration management
2.2 2 Implement and manage configuration changes
2.2 3 Implement and manage infrastructure changes
2.3 Version Control
2.3 1 Manage code repositories
2.3 2 Implement version control strategies
2.3 3 Manage branching and merging
3 Domain 3: Monitoring and Logging
3.1 Monitoring
3.1 1 Design and implement monitoring
3.1 2 Implement and manage alarms and notifications
3.1 3 Analyze and troubleshoot issues
3.2 Logging
3.2 1 Design and implement logging
3.2 2 Analyze and troubleshoot issues
3.2 3 Implement and manage log retention and archival
3.3 Metrics and Dashboards
3.3 1 Design and implement metrics collection
3.3 2 Create and manage dashboards
3.3 3 Analyze and troubleshoot performance issues
4 Domain 4: Policies and Standards Automation
4.1 Security and Compliance
4.1 1 Implement and manage security policies
4.1 2 Implement and manage compliance policies
4.1 3 Automate security and compliance checks
4.2 Cost Management
4.2 1 Implement and manage cost optimization strategies
4.2 2 Automate cost monitoring and alerts
4.2 3 Analyze and troubleshoot cost issues
4.3 Governance
4.3 1 Implement and manage governance policies
4.3 2 Automate governance checks
4.3 3 Analyze and troubleshoot governance issues
5 Domain 5: Incident and Event Response
5.1 Incident Management
5.1 1 Design and implement incident management processes
5.1 2 Automate incident detection and response
5.1 3 Analyze and troubleshoot incidents
5.2 Event Management
5.2 1 Design and implement event management processes
5.2 2 Automate event detection and response
5.2 3 Analyze and troubleshoot events
5.3 Root Cause Analysis
5.3 1 Perform root cause analysis
5.3 2 Implement preventive measures
5.3 3 Analyze and troubleshoot root cause issues
6 Domain 6: High Availability, Fault Tolerance, and Disaster Recovery
6.1 High Availability
6.1 1 Design and implement high availability architectures
6.1 2 Implement and manage load balancing
6.1 3 Analyze and troubleshoot availability issues
6.2 Fault Tolerance
6.2 1 Design and implement fault-tolerant architectures
6.2 2 Implement and manage failover strategies
6.2 3 Analyze and troubleshoot fault tolerance issues
6.3 Disaster Recovery
6.3 1 Design and implement disaster recovery strategies
6.3 2 Implement and manage backup and restore processes
6.3 3 Analyze and troubleshoot disaster recovery issues
2.3 Version Control Explained

Version Control Explained

Key Concepts

Detailed Explanation

Version Control System (VCS)

A Version Control System (VCS) is a tool that helps manage changes to files over time. It allows multiple developers to work on the same project simultaneously without overwriting each other's work. Common VCS tools include Git, Subversion (SVN), and Mercurial.

Repository

A repository is a central storage location where all the files, directories, and metadata for a project are kept. It contains the entire history of changes made to the project, allowing you to track revisions and revert to previous states if necessary.

Branching

Branching allows developers to create separate lines of development within the repository. This is useful for working on new features or bug fixes without affecting the main codebase. Each branch can be developed independently, and changes can be merged back into the main branch when complete.

Merging

Merging is the process of combining changes from one branch into another. This is typically done when a feature branch is complete and ready to be integrated into the main codebase. Merging can sometimes result in conflicts, which need to be resolved manually.

Commit

A commit is a snapshot of the changes made to the files in the repository. Each commit includes a message describing the changes, which helps other developers understand the purpose of the commit. Commits are stored in the repository's history, allowing you to track changes over time.

Pull Request

A pull request is a mechanism for proposing changes and requesting that someone review and approve them before merging into a branch. Pull requests are commonly used in collaborative development environments to ensure that changes are reviewed by others before being integrated into the main codebase.

Examples and Analogies

Git Example

Below is an example of using Git to initialize a repository, create a branch, make changes, and create a pull request:

# Initialize a new Git repository
git init

# Create a new branch
git checkout -b feature-branch

# Make changes to files
echo "New feature code" >> new_feature.txt

# Add changes to the staging area
git add new_feature.txt

# Commit changes with a message
git commit -m "Add new feature"

# Push changes to a remote repository
git push origin feature-branch

# Create a pull request on GitHub
# (This step is typically done through the GitHub web interface)
    

Analogy: Writing a Book

Think of version control as writing a book. The repository is like a manuscript that contains all the chapters and revisions. Branching is like writing a new chapter in a separate document to avoid disrupting the main manuscript. Merging is like integrating the new chapter back into the main manuscript. Commits are like saving different versions of the manuscript with notes about what was changed. A pull request is like asking a co-author to review and approve the new chapter before it is included in the final manuscript.