Container CI/CD pipelines automate the entire lifecycle of containerized applications—from building images to deploying them across environments—while embedding security, testing, and quality gates at every step. These pipelines are the backbone of modern cloud-native development, enabling teams to ship updates rapidly without sacrificing reliability or security. A well-designed pipeline integrates build optimization, vulnerability scanning, image promotion, and GitOps workflows to create a seamless path from source code to production. The key distinction from traditional CI/CD lies in the immutable, portable nature of containers: you build once, test thoroughly, and deploy the same artifact everywhere, ensuring consistency across environments while minimizing configuration drift.
What This Cheat Sheet Covers
This topic spans 15 focused tables and 150 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.
Table 1: Container Build Strategies
| Strategy | Example | Description |
|---|---|---|
FROM golang:1.21 AS builderWORKDIR /appCOPY . .RUN go build -o appFROM alpine:3.19COPY --from=builder /app/app . | • Separates build environment from runtime • drastically reduces final image size by copying only compiled artifacts to a minimal base image. | |
COPY package*.json ./RUN npm installCOPY . . | • Orders Dockerfile instructions to cache expensive operations • placing dependency installation before source code changes speeds up rebuilds. | |
.dockerignore:node_modules*.log.git | • Excludes unnecessary files from build context using .dockerignore• reduces context size and upload time to build daemon. | |
docker buildx build --cache-from=type=registry,ref=myrepo/cache --cache-to=type=registry,ref=myrepo/cache . | • Uses remote cache backends to share layers across builds and runners • enables persistent caching in CI environments where local cache is ephemeral. | |
FROM base AS depsFROM base AS testFROM deps AS prod | • Runs independent build stages concurrently • reduces total build time by parallelizing non-dependent operations. |