Learn Docker, Containerization, Docker Compose, Docker Swarm

Kaufman-style skill map untuk menguasai Docker secara efektif: target performa, subskill decomposition, feedback loop, lab design, practice schedule, dan standard evaluasi engineering.

Mental model mendalam tentang containerization: process isolation, kernel sharing, namespaces, cgroups, filesystem layers, network boundary, PID 1, signals, security boundary, dan failure modes.

Arsitektur Docker secara mendalam: Docker CLI, Engine API, daemon, containerd, OCI runtime, BuildKit, registry, object model, lifecycle, control plane, data plane, dan failure boundary.

Baseline environment Docker untuk engineer serius: Docker Desktop vs Docker Engine, Linux-native setup, rootful vs rootless, permissions, daemon.json, contexts, BuildKit, disk hygiene, proxy, registry auth, dan operational readiness checklist.

Internal image Docker secara mendalam: layer, repository, tag, digest, manifest, OCI index, registry, pull/push lifecycle, promotion strategy, dan failure mode image supply.

Dockerfile semantics secara mendalam: build context, .dockerignore, FROM, RUN, COPY, ADD, ARG, ENV, CMD, ENTRYPOINT, cache invalidation, deterministic build, dan failure mode Dockerfile.

BuildKit, build cache, multi-stage builds, buildx, secret mounts, SSH mounts, external cache, dan desain build pipeline yang cepat, aman, reproducible, dan production-grade.

Desain image production-grade: base image selection, minimal runtime, non-root user, filesystem contract, ENTRYPOINT/CMD, metadata, reproducibility, security posture, observability, dan debug strategy.

Runtime lifecycle container sebagai state machine: create, start, stop, restart, pause, healthcheck, exit code, signal handling, PID 1, logs, events, inspect, dan failure semantics.

Resource management container: CPU, memory, swap, OOM, IO, PID limit, ulimit, cgroups, docker stats, Compose resources, Swarm reservations/limits, backpressure, dan capacity engineering.

Docker networking single-host: bridge, host, none, macvlan, ipvlan, DNS, port publishing, localhost trap, service discovery, firewall/NAT, troubleshooting, dan network failure modeling.

Docker storage deep dive: writable layer, copy-on-write, volumes, bind mounts, tmpfs, storage drivers, permissions, backup/restore, stateful container boundaries, dan failure modeling.

Host boundary engineering for Docker containers: files, users, time, DNS, kernel, devices, and Docker socket exposure.

A systems-engineering approach to debugging Docker containers using inspect, logs, events, exec, Docker Debug, namespaces, filesystem inspection, and failure-mode runbooks.

Compose application model for advanced software engineers: services, projects, networks, volumes, configs, secrets, lifecycle, dependency graph, and operational invariants.

Deep dive into Compose file semantics: services, build, image, command, entrypoint, environment, env_file, ports, volumes, networks, profiles, extension fields, anchors, overrides, validation, and maintainable file design.

Deep dive into Docker Compose dependency design, healthchecks, startup order, shutdown order, service readiness, migration jobs, restart coupling, and failure-safe multi-service bootstrapping.

Advanced Docker Compose development workflows: inner loop design, hot reload, Compose Watch, bind mounts, dependency caches, local databases, queues, seed data, profiles, and production-parity trade-offs.

Advanced Docker Compose testing: integration test harness, contract test, E2E topology, fixture management, ephemeral stacks, CI execution, parallel isolation, readiness gates, and failure-mode discipline.