Ci Cd

Basic pipeline structure:

# 1. Fast feedback (lint, format) - <1 min
# 2. Unit tests - 1-5 min
# 3. Integration tests - 5-15 min
# 4. Build artifacts
# 5. E2E tests (optional, main branch only) - 15-30 min
# 6. Deploy (with approval gates)

Key principles:

• Fail fast: Run cheap validation first
• Parallelize: Remove unnecessary job dependencies
• Cache dependencies: Use actions/cache or GitLab cache
• Use artifacts: Build once, deploy many times

See best_practices.md for comprehensive pipeline design patterns.

2. Optimizing Pipeline Performance

Quick wins checklist:

• Add dependency caching (50-90% faster builds)
• Remove unnecessary needs dependencies
• Add path filters to skip unnecessary runs
• Use npm ci instead of npm install
• Add job timeouts to prevent hung builds
• Enable concurrency cancellation for duplicate runs

Analyze existing pipeline:

# Use the pipeline analyzer script
python3 scripts/pipeline_analyzer.py --platform github --workflow .github/workflows/ci.yml

Common optimizations:

• Slow tests: Shard tests with matrix builds
• Repeated dependency installs: Add caching
• Sequential jobs: Parallelize with proper needs
• Full test suite on every PR: Use path filters or test impact analysis

See optimization.md for detailed caching strategies, parallelization techniques, and performance tuning.

3. Securing Your Pipeline

Essential security checklist:

• Use OIDC instead of static credentials
• Pin actions/includes to commit SHAs
• Use minimal permissions
• Enable secret scanning
• Add vulnerability scanning (dependencies, containers)
• Implement branch protection
• Separate test from deploy workflows

Quick setup - OIDC authentication:

GitHub Actions → AWS: