docs: EKS cluster governance at scale — status, roadmap, and AI agents #2
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- Document current provisioning pipeline, per-cluster update mechanism, and account repo (_apps-adsd-eks) injection pattern - Clarify dual role of clusters/<name>/main.tf: cluster metadata AND injection location map; show repo_name vs cluster_name decoupling - Add Step 0a: restructure clusters/ into lifecycle/team hierarchy (clusters/dev/adsd/, clusters/prod/ois/, etc.) with SC param threading - Update_all_clusters.py --lifecycle/--team/--force flags - GitHub Action for eks-fleet.code-workspace auto-maintenance - Propose four AI agents + four copilot skills for cognitive scale - Replace all local path references with GHE URLs
added 2 commits
May 15, 2026 13:16
- Add gap: clusters/ embedded inside module repo conflates module versioning with fleet operations - New Step 0b: extract clusters/ to SCT-Engineering/terraform-eks-fleet; module source becomes versioned GHE ref instead of ../../ - Step 0a (hierarchy restructure) now happens inside terraform-eks-fleet - Update task list: items 1-6 this sprint; 7-15 follow - Update Part 2 target state to reference terraform-eks-fleet - Update 'After Items' section heading
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Summary
Post-demo design document capturing current state, gaps, and the full roadmap for governing and scaling the EKS cluster fleet.
What's in this doc
clusters/<name>/main.tfserves both as cluster metadata and injection location map, the_apps-adsd-eksaccount repo patternrepo_namefromcluster_nameclusters/intoclusters/<lifecycle>/<team>/<name>/hierarchy; threadteam/lifecycleparams through SC → Lambda → CodeBuildupdate_all_clusters.pywith--lifecycle,--team,--forceflagsFollows the May 14 GitHub Provisioning Pipeline Demo (Manuel, Matthew, David, Delong).