Docker-to-Production Starter Kit
The gap between “it runs in Docker on my laptop” and “it is a deployable service” is about nine specific things. This kit walks all nine, in order, with working files you can paste and adapt.
What you build
| # | Section | Time |
|---|---|---|
| 1 | A production-grade multi-stage image — small, cached well, and not running as root | 40 min |
| 2 | A local stack with a database, healthchecks and dependency ordering that actually works | 25 min |
| 3 | Configuration and secrets so the same image runs in every environment | 20 min |
| 4 | A hardening pass: non-root, read-only filesystem, dropped capabilities, resource limits | 30 min |
| 5 | Signals, graceful shutdown and healthchecks so orchestrators can manage the container | 25 min |
| 6 | A CI pipeline that builds, scans, tags and pushes | 30 min |
| 7 | A deploy path and a rollback plan that survives migrations | 40 min |
| 8 | Logs, metrics, and the debugging moves that work when there is no shell | 20 min |
| 9 | The 15-point pre-flight checklist | 10 min |
Real files, not prose
Complete multi-stage Dockerfiles for Node and Python. A compose stack with service_healthy conditions and a failing-fast password check. The hardening block. A graceful-shutdown implementation that fails readiness before it stops accepting connections. A GitHub Actions workflow with Trivy scanning and cache mounts. The expand / migrate / contract migration sequence.
The mistake that causes cascading outages: pointing your liveness probe at the database. The database hiccups, every replica fails liveness, the platform restarts all of them at once, and now you have a cold-start stampede against a database that was already struggling. Liveness checks the process. Readiness checks dependencies. The kit shows both.
Docker-to-Production Starter Kit
13-page PDF · 9 sections · Node + Python reference implementations · applies to any runtime
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Provided for general informational purposes. Code samples are reference implementations supplied without warranty of any kind — review, test and adapt them to your own environment and security requirements before production use. Tool names, flags and versions change between releases; verify against current vendor documentation. Licensed to the individual purchaser; not for redistribution or resale.
