CI/CD Overview
Continuous Integration (CI) and Continuous Deployment (CD) automate the software delivery process, enabling teams to release code changes frequently and reliably.
CI/CD Pipeline Stages
Code → Build → Test → Deploy → MonitorStage Breakdown
| Stage | Purpose | Typical Tools |
|---|---|---|
| Source | Version control | Git, GitHub, GitLab |
| Build | Compile & package | Docker, Maven, npm |
| Test | Validate changes | Jest, PyTest, Selenium |
| Deploy | Release to environment | Kubernetes, Docker, AWS |
| Monitor | Track performance | Prometheus, Grafana |
CI/CD Patterns
Git-Based CI
Triggers on every push or pull request. Runs tests and builds automatically.
Best For: Open source, team collaboration, code review workflows
Branch-Based Deployment
Different branches deploy to different environments.
| Branch | Environment | Purpose |
|---|---|---|
main | Production | Stable releases |
staging | Staging | Pre-production testing |
develop | Development | Feature integration |
feature/* | Feature environments | Individual feature testing |
GitOps
Git is the single source of truth for infrastructure and deployments.
Principles:
- Entire system described in Git
- Desired state declared in Git
- Approved changes automatically applied
- Drift detection and correction
Best For: Kubernetes deployments, infrastructure as code
Tool Selection Guide
| Tool | Type | When to Use | Strengths | Weaknesses |
|---|---|---|---|---|
| GitHub Actions | SaaS CI/CD | GitHub-hosted projects | Deep GitHub integration, free for public repos | Limited to GitHub |
| GitLab CI | Integrated CI/CD | GitLab-based projects | All-in-one, extensive features | Requires GitLab |
| Jenkins | Self-hosted | On-premise, complex pipelines | Highly customizable, plugin ecosystem | Requires maintenance |
| ArgoCD | GitOps | Kubernetes deployments | Declarative, K8s-native | Limited to Kubernetes |
Deployment Strategies
Rolling Deployment
Gradually replace instances with new version, keeping application available.
Pros: Zero downtime, gradual rollout Cons: Slower deployment, can have multiple versions running simultaneously
Blue-Green Deployment
Maintain two identical production environments. Switch traffic between them.
Pros: Instant rollback, clean testing Cons: Double infrastructure cost, complex state management
Canary Deployment
Roll out to small percentage of users before full deployment.
Pros: Safe testing with real users, gradual rollout Cons: Requires sophisticated traffic routing, longer deployment window
Feature Flags
Release features behind configuration flags without deploying new code.
Pros: Instant enable/disable, no rollback needed Cons: Technical debt accumulation, testing complexity
Common CI/CD Scenarios
Scenario: Simple Web Application
Tools: GitHub Actions, Docker Pipeline:
- Push to
mainbranch triggers pipeline - Build Docker image
- Run unit tests
- Deploy to server
- Run smoke tests
Scenario: Microservices Architecture
Tools: Jenkins, Kubernetes, ArgoCD Pipeline:
- Each service has its own pipeline
- Independent testing and deployment
- ArgoCD syncs manifests from Git
- Rollback with Git revert
Scenario: Enterprise Application
Tools: GitLab CI, multiple environments, feature flags Pipeline:
- Multi-stage pipeline (build, test, deploy)
- Promotions between environments
- Manual approvals for production
- Feature flags control feature rollout
Best Practices
Testing Pyramid
- Unit Tests: Fast, many tests, isolated code
- Integration Tests: Slower, fewer tests, component interaction
- End-to-End Tests: Slowest, fewest tests, full user flows
Pipeline Optimization
- Parallelize independent tests
- Cache dependencies between builds
- Use incremental builds
- Separate fast feedback from slow verification
Security Integration
- Scan dependencies for vulnerabilities (Snyk, Dependabot)
- Static analysis (SonarQube, ESLint)
- Container image scanning (Trivy, Clair)
- Infrastructure security checks (Terraform sec)
Monitoring and Alerting
- Track deployment frequency and lead time
- Monitor failure rate and recovery time
- Alert on pipeline failures
- Collect deployment metrics
Getting Started Guides
- GitHub Actions - Build, test, and deploy with GitHub
- GitLab CI - Integrated CI/CD in GitLab
- Jenkins - Self-hosted automation server
- CircleCI - Hosted CI/CD platform
- ArgoCD - GitOps for Kubernetes
- CI/CD Concepts - Deep dive into CI/CD patterns