Build secure, scalable CI/CD systems that connect modern automation, cloud-native delivery, DevSecOps, GitOps, and AI into one production-ready workflow.
Modern software delivery involves far more than getting a pipeline to pass. Teams must control source changes, protect credentials, isolate runners, produce trustworthy artifacts, secure the software supply chain, manage Kubernetes deployments, verify releases at runtime, and introduce AI automation without giving it excessive authority.
This guide shows you how those pieces fit together as a complete delivery platform. You will learn how to design pipelines around clear trust boundaries, immutable artifacts, workload identity, policy enforcement, GitOps reconciliation, progressive delivery, observability, and controlled automation rather than relying on disconnected scripts and deployment commands.
Design CI/CD architecture that separates integration, delivery, deployment, GitOps, and runtime verificationBuild production workflows with GitHub Actions and GitLab CI using matrices, DAG execution, reusable components, caching, protected environments, and ephemeral runnersSecure pipeline identities with OIDC, short-lived credentials, least-privilege permissions, protected workflows, and isolated executionBuild multi-stage and multi-architecture container images with BuildKit and Buildx while optimizing remote caching and CI performancePromote the same immutable image digest through environments instead of rebuilding releases for productionGenerate and verify SBOMs, SLSA provenance, signatures, attestations, and software supply chain evidence with SPDX, CycloneDX, Sigstore, and CosignApply Kubernetes security controls with Pod Security Standards, RBAC, workload identity, Kyverno, Gatekeeper, OPA, CEL policies, and admission verificationDesign GitOps delivery with Argo CD Applications, AppProjects, ApplicationSets, Helm, Kustomize, automated synchronization, self-healing, and Git-based rollbackUse Argo Rollouts for rolling, blue-green, and canary releases with traffic shifting, runtime analysis, synthetic checks, business metrics, and automated rollback decisionsHandle database releases safely with backward-compatible migrations and expand-and-contract changesBuild Kubernetes-native pipelines with Tekton Tasks, Pipelines, Workspaces, Results, Triggers, remote resolution, Chains, and signed provenanceApply AI to unit, API, integration, and end-to-end testing, flaky-test analysis, failure clustering, change-impact testing, and reviewable pipeline repairDesign safer agentic automation with bounded permissions, MCP tools, controlled repository access, deterministic validation, and protected production authorityMeasure delivery performance with OpenTelemetry, DORA metrics, pipeline observability, runner utilization, cost controls, and platform engineering practicesThe guide includes extensive practical YAML, Dockerfile, Shell, Python, SQL, JSON, and configuration examples that show how the architecture translates into real pipeline, container, Kubernetes, security, GitOps, testing, and automation workflows.
Build a delivery platform that is faster to operate, easier to verify, and safer to evolve. Grab your copy today.