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Architecture

CI/CD Pipeline Architecture

Multi-stage pipelines with build quality gates, automated testing, and environment promotion.

Pipeline Design Principles

A well-designed pipeline is more than "build, test, deploy." It's a quality assurance system that catches problems progressively: the earlier the better, the cheaper the fix.

CloudPresto designs pipelines with clear stages, explicit promotion criteria, and automated gates at every transition. Nothing reaches production that hasn't been validated at every step.

The Pipeline Stages

01Build & LintCompile, scan, analyze02TestUnit + integration03StagingMirror + smoke tests04CanaryTraffic shift + metrics05ProductionFull rollout + verify
01

Build & Lint

Compile, lint, static analysis, dependency vulnerability scanning. Fast feedback: fails in seconds, not minutes. Catches entire classes of issues before any test runs.

02

Unit & Integration Tests

Automated test suites with coverage gates. Integration tests against real dependencies (not mocks for critical paths). Test results correlated with code changes for fast debugging.

03

Staging Deployment

Automated deployment to a production-mirror environment. Smoke tests, API contract validation, and performance baseline checks. This is where you catch the "works in test, breaks in staging" problems.

04

Canary / Blue-Green Production

Traffic gradually shifted to the new version. Real-time metric comparison between canary and baseline. If error rates or latency degrade beyond thresholds, automatic rollback.

05

Full Production Rollout

Canary passes, traffic shifted 100%. Post-deploy health checks confirm stability. Deploy event correlated in observability dashboards for ongoing monitoring.

Quality Gates

Every stage transition has explicit pass/fail criteria:

  • Test coverage: minimum thresholds enforced (not 100%, but meaningful coverage of critical paths)
  • Security scan: no critical or high vulnerabilities in dependencies
  • Performance baseline: response times within defined bounds
  • Canary metrics: error rate, latency, and throughput comparable to baseline
Gates are automated, not bureaucratic. Developers don't wait for approvals. The pipeline evaluates criteria and promotes or blocks automatically. Human review is reserved for architecture changes and emergency deploys.