2. DevOps Lifecycle

2.1 Continuous Planning and Development

2.1.1 Agile and Version Control Basics

Explanation
Continuous planning and development form the foundation of the DevOps lifecycle. Work is planned in small, incremental units using Agile methodologies to enable rapid feedback and adaptability. Version control systems act as the single source of truth for code, configurations, and documentation. Every change is tracked, reviewed, and reversible, which supports collaboration across distributed teams. Continuous planning aligns business goals with technical execution, while development practices emphasize small, frequent commits to reduce risk and improve quality.

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Example
A product team plans features in two-week sprints. Developers create feature branches and commit changes frequently. Pull requests trigger peer reviews before merging into the main branch. Product owners adjust priorities based on feedback. Issues are identified early due to small change sets. The team maintains steady progress with minimal rework.

Use Cases
• Agile software teams
• Distributed development teams
• Rapid feature iteration
• Controlled code collaboration

2.2 Continuous Integration

2.2.1 CI Workflow and Best Practices

Explanation
Continuous Integration (CI) is the practice of automatically building and testing code every time changes are committed to the repository. CI pipelines validate code through compilation, unit tests, static analysis, and security checks. The goal is to detect issues early, reduce integration conflicts, and maintain a deployable codebase at all times. Best practices include frequent commits, fast-running tests, pipeline-as-code, and immediate feedback to developers. CI establishes confidence that the software is stable before it progresses to delivery or deployment stages.

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Example
A developer pushes code to the repository. The CI pipeline automatically starts, compiling the application and running unit tests. A failed test immediately notifies the developer. The issue is fixed and recommitted within minutes. Successful builds produce versioned artifacts ready for deployment. Integration problems are eliminated before reaching production.

Use Cases
• Automated build validation
• Early defect detection
• Stable main branch maintenance
• Faster development feedback loops