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Endigest AI Core Summary
This post describes the complete rewrite of kpromo, the Kubernetes image promoter, achieving a 20% codebase reduction and dramatic performance gains with no user-facing changes.
•The rewrite was split into 9 independent phases covering rate limiting, clean interfaces, a new pipeline engine, provenance verification, vulnerability scanning, signing/replication separation, and legacy code removal.
•The new pipeline has 7 clearly separated sequential phases (Setup, Plan, Provenance, Validate, Promote, Sign, Attest), eliminating the rate limit contention that caused most production failures.
•Parallelizing registry reads reduced the plan phase from ~20 minutes to ~2 minutes; a source-check-before-replication optimization reduced steady-state signature work from ~17 hours to ~15 minutes.
•The effort spanned 40+ PRs and 3 releases (v4.2.0–v4.4.0), deleting 16,000+ lines and adding 10,000+, for a net reduction of ~5,000 lines.
•The kpromo cip command retained identical flags and YAML mani
This summary was automatically generated by AI based on the original article and may not be fully accurate.