From postmortems to guardrails at scale

A production login outage caused by rebuilding an application with a changed `python:latest` base image illustrates how postmortem lessons can be lost when follow-up depends on announcements, documentation, and tickets rather than persistent checks. The proposed remedy is to convert actionable findings into automated guardrails, such as requiring Docker base images to be pinned by immutable digests and enforcing use of the image that passed testing. Earthly Lunar is presented as a platform for collecting repository and CI/CD evidence, evaluating centralized policies consistently, and enforcing them during AI-assisted development, pull requests, and release gates. Its Docker policies can detect mutable base-image references and, when configured, block merges or releases for production components that do not use digest-pinned images. The article recommends initially deploying guardrails in draft mode to verify coverage, parsing, and compatibility with existing build patterns before enabling enforcement, while maintaining ownership as processes evolve.

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