CI/CD Pipeline Design for Java
A pipeline that stays fast as the codebase grows: stage design, GitHub Actions with dependency and Docker caching, test parallelisation, and quality gates that catch real problems.
Read tutorialEnterprise Backend · Phase 5
Everything between "it works on my machine" and "it survives Black Friday": pipelines, Docker, Kubernetes rollouts, Terraform, OpenTelemetry, Flyway, JVM tuning, load testing and disaster recovery.
A pipeline that stays fast as the codebase grows: stage design, GitHub Actions with dependency and Docker caching, test parallelisation, and quality gates that catch real problems.
Read tutorialContainer builds that are fast and trustworthy: BuildKit cache and secret mounts, tagging strategy, registry choice, vulnerability scanning, SBOM generation and image signing.
Read tutorialShipping without downtime: rolling update mechanics, blue-green switching, canary with automated analysis, and GitOps reconciliation with Argo CD.
Read tutorialProvisioning the infrastructure a Java service needs: Terraform state and locking, reusable modules, managed databases and brokers, and where Pulumi fits.
Read tutorialAssembling a production observability stack: the OTel agent and collector pipelines, Mimir, Loki and Tempo, alerting strategy that avoids fatigue, and runbooks that get used.
Read tutorialConfiguration that survives production: the 12-factor principles applied to Java, property precedence, fail-fast validation, feature flags, and graceful shutdown done properly.
Read tutorialSchema changes you can deploy safely: Flyway naming and ordering, repeatable migrations, baselining an existing database, and expand-and-contract for zero downtime.
Read tutorialDiagnosing and fixing JVM performance: the memory model, choosing and tuning a collector, reading GC logs, profiling with JFR and async-profiler, and container-aware settings.
Read tutorialFinding your limits before users do: the five load test types, writing k6 and Gatling scenarios, the metrics that matter, and turning results into a capacity plan.
Read tutorialPlanning for failure: defining RPO and RTO honestly, replication trade-offs, multi-region topologies and their costs, DNS failover, and testing recovery before you need it.
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