Adds all 8 ROOT 04 modules (why containers exist, images & containers, Docker CLI, container networking, container storage, Dockerfile & image build, Docker Compose, containers → Kubernetes) — 43 activities, using the nested Docker Engine Phase 6D built and tested. Modules 1, 2, and 8 are conceptual (no lab by design) — the honest bridge module (M8) explicitly names what Kubernetes adds beyond what this course already taught, without re-teaching Kubernetes itself. Adds 5 new hands-on Docker scenarios plus 2 MCQs, all against the real nested Docker Engine: docker-cli-basics (run/exec/inspect a real container), docker-container-networking (a genuine "works internally, unreachable from host" port-publishing failure, diagnosed and fixed by recreating the container with the correct `-p` flag), docker-container-storage (a real destroy/recreate cycle proving named-volume persistence, not just described), docker-build-image (a real Dockerfile, a real build, a real custom image run), and docker-compose-multiservice (a real two-service Compose application with a real published port). All tested end-to-end via the real scenario-validation API, including negative tests. Wires rootnode-containers-assessment (2 required + 4 random-draw scenarios) using the existing Phase 3B assessment engine. This completes the entire ROOT_ Foundations sequence (ROOT 01-04) — see docs/PHASE6E_ROOT_FOUNDATIONS_COMPLETION.md. Co-Authored-By: Claude Sonnet 5 <[email protected]>
51 lines
2.6 KiB
Markdown
51 lines
2.6 KiB
Markdown
# Dockerfile and Image Build
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## A Dockerfile is a recipe for an image
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Every image you've used so far (`nginx:alpine`, `alpine:3.19`) was itself BUILT from a
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Dockerfile by someone else. This module teaches you to write your own.
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## The core instructions
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- **`FROM <image>`** — every Dockerfile starts by choosing a base image to build on top of.
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Almost nothing is built completely from scratch.
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- **`WORKDIR <path>`** — sets the working directory for every instruction that follows it (and
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for the container's default working directory when it runs).
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- **`COPY <host-path> <image-path>`** — copies files from your BUILD CONTEXT (the directory you
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run `docker build` from) into the image.
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- **`RUN <command>`** — executes a command DURING the build, creating a new layer with its
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result (installing a package, for example).
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- **`CMD <command>`** (conceptually) — sets the DEFAULT command a container runs when started
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from this image, if nothing else is specified.
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- **`ENTRYPOINT <command>`** (conceptually) — similar to `CMD`, but harder to override at
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`docker run` time — the two are often combined (`ENTRYPOINT` as the fixed program,
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`CMD` as its default arguments).
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## Build context and `.dockerignore`
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`docker build -t mytag .` — that final `.` is the **build context**: the directory Docker can
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see and copy files FROM during the build. A `.dockerignore` file (same idea as `.gitignore` from
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ROOT 03) excludes files from the build context — keeping large or irrelevant files (like a local
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`.git` folder or dependency caches) out of your image and speeding up builds.
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## Layers, again
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Each instruction in a Dockerfile creates one layer, cached individually. Docker reuses cached
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layers for instructions that haven't changed since the last build — which is why the ORDER of
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instructions matters for build speed: put things that change rarely (like `FROM` and installing
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dependencies) before things that change often (like copying your actual application code), so a
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small code change doesn't invalidate expensive earlier layers.
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## Instructor Notes
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**Lesson goal:** Give students enough Dockerfile literacy to write a real, small, working image
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— not exhaustive coverage of every possible instruction.
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**Approximate timing:** 18 minutes read; 10 minutes live.
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**Common misconception to watch for:** copying application code before installing dependencies
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— reinforce the "changes-rarely-first" layer-ordering principle with a concrete example.
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**Demo idea:** build the same Dockerfile twice with no changes, showing the second build using
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fully cached layers (`CACHED` in the output) and finishing almost instantly.
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