CI/CD Automation Course

Welcome to CI/CD Automation: From Manual Deploys to Production-Grade Pipelines — a mentor-led masterclass for engineers who ship with GitHub Actions, GitLab CI, Jenkins, GitOps,…

CI/CD is not a tool you install — it is a named delivery system that crystallizes decades of release engineering judgment.

Continuous Integration (CI), Continuous Delivery (CD), and Continuous Deployment (CDep) are three distinct maturity steps — not interchangeable labels.

Pipeline anatomy is the decomposed delivery machine: what triggers work, which stages run in what order, what artifacts hand off between stages, which environments mutate, where…

Why automate delivery is not a DevOps aesthetic choice — it attacks toil (manual, repetitive, automatable work), eliminates the hero deployer bottleneck, produces compliance aud…

CI/CD toolchain is the connected system: VCS emits events; CI server runs pipelines; artifact registry stores immutable outputs; CD controller promotes to environments; secrets…

CI/CD myths block sensible delivery design: "CI/CD = Jenkins," "never deploy Friday," "100% coverage required," "YAML is the hard part," "more tools = more maturity." Staff engi…

Git workflows for CI define which git events start pipelines, how long branches live, and whether production deploys from tags, merge commits, or trunk HEAD.

Branching strategies decide how teams parallelize work without losing deployability.

Build artifacts are immutable outputs of CI — container images, JARs, npm tarballs, Helm charts — stored in registries and promoted across environments by digest or version, nev…

Semantic versioning in CI automates version bumps from conventional commits, tags releases in git, and wires tag events to publish pipelines — connecting human-readable versions…

Monorepo CI patterns avoid running every test on every commit by detecting affected projects, using build graphs (Bazel, Turborepo, Nx), and path filters — while keeping trunk i…

Build caching in CI reuses Docker layers, dependency downloads, and compiled outputs across runs — cutting wall clock and cost when cache keys are stable and remote cache is sha…

Build failure triage is the operational discipline of assigning ownership, quarantining flaky tests, and bisecting regressions — so red CI means actionable signal, not backgroun…

GitHub Actions is GitHub's native CI/CD engine: event-driven workflows defined in YAML, executed on ephemeral runners (GitHub-hosted or self-hosted), with a token-based permissi…

GitHub Actions workflow syntax is the language platform teams use to express CI/CD as code.

GitLab CI/CD embeds pipelines in the same platform as source control, issues, and container registry.

Jenkins is the original widely-adopted open-source automation server — still running critical pipelines at enterprises worldwide.

Azure DevOps Pipelines provides YAML-defined CI/CD deeply integrated with Azure, GitHub, and enterprise identity (Entra ID).

Self-hosted runners execute CI/CD jobs on infrastructure you operate — VMs, bare metal, or Kubernetes pods — instead of vendor-hosted pools.

Pipeline as code stores CI/CD definitions in version control alongside application source — reviewed in pull requests, versioned with git tags, and tested like any other code.

Secrets in CI are credentials pipelines use to reach databases, clouds, and APIs — and the primary exfiltration target in supply-chain attacks.

Continuous Deployment (CDep) means every merge to main that passes CI gates ships to production automatically — no Friday deploy calendar, no hero engineer clicking "Approve." I…

Deployment strategies answer one question: how do we replace running software with a new version without unacceptable downtime or blast radius?

Blue-green deployment runs two production-capacity environments — blue (live) and green (idle) — deploys the new version to green, validates it with smoke and integration tests…

Canary releases route a small slice of production traffic to the new version while the majority stays on stable — validating with real user behavior before full promotion.

Rolling deployments replace running instances incrementally — old pods terminate as new pods become ready — without provisioning a second full environment.

Environment promotion moves the same immutable artifact — container digest, jar checksum, Helm chart version — from dev → staging → prod without rebuilding per environment.

Rollback strategies restore service health after a bad deploy — faster than forward-fixing under fire.

GitOps declares cluster (and often infra) desired state in git — manifests, Helm charts, Kustomize overlays — and lets controllers continuously reconcile live state to match.

Testing in the Pipeline is the contract between engineering velocity and production safety.

Linting & Formatting in CI enforce code quality invariants before human review burns time on style debates.

SAST (Static Application Security Testing) analyzes source code without executing it — finding SQL injection sinks, hardcoded secrets, unsafe deserialization, and auth bypass pa…

Dependency Scanning (SCA) inspects third-party libraries — lockfiles, manifests, container layers — for known CVEs.

Container Image Scanning inspects OCI images — OS packages (apk, deb, rpm) and application layers — for CVEs before deploy.

Quality Gates are explicit pass/fail thresholds in CI/CD — coverage minimums, lint clean, zero Critical CVEs, performance budgets — that block promotion when unmet.

Test Parallelization splits test suites across runners, shards, or matrix jobs to cut wall-clock CI time without reducing coverage.

DevSecOps in CI embeds security controls into every pipeline stage — shift-left scanning, least-privilege pipeline identity, signed commits, artifact attestation, and audit evid…

Multi-stage pipelines decompose delivery into ordered, independently observable phases — build, test, scan, deploy — connected by explicit dependencies and fan-in/fan-out parall…

Matrix builds run the same job across a Cartesian product of dimensions — OS × runtime × dependency version — to catch portability bugs before merge.

Reusable workflows centralize pipeline logic in versioned, callable templates — org-wide golden paths for build, scan, and deploy that product repos invoke with uses: org/.githu…

Capstone: full pipeline is the end-to-end design staff loops expect — one diagram from PR open to prod traffic with OIDC federation, immutable digest promotion, canary metric ga…

CI/CD interview framework is the repeatable narrative structure for staff platform loops — not YAML trivia, not tool lists.

Mock: pipeline design — full staff-loop simulation.

Mock: pipeline incident — narrate a bad deploy Friday 4:47 p.m.

CI/CD cheat sheet — a staff engineer's compact reference for pipeline design decisions, not syntax dumps.