- Nix 32.5%
- Jinja 21.5%
- Python 17.9%
- Shell 11.8%
- Go 8.1%
- Other 8.2%
## Summary Removes the compensating-controls (CC) framework. Prowler and Kingfisher continue to run weekly and produce reports; the Prowler mutelist YAML files stay in place but no longer carry \`CC: <id>\` prefixes — each entry now just keeps a free-form \`Description\` of why it's muted. The CC review cadence proved to be more process overhead than this single-operator homelab needed. ## What changed **Deleted** - \`compensating-controls.yaml\` — the CC registry - \`mise-tasks/review-compensating-controls\` — the staleness-review task - \`docs/how-to/operations/review-compensating-controls.md\` - \`docs/how-to/operations/record-review-evidence.md\` (was aspirational) - \`docs/explanation/compliance-mute-categories.md\` (proposed-future CC/NA/RA work) - 5 orphan \`+review-cc-*\` / \`+compliance-mute-categories\` changelog fragments **Modified** - 6 mutelist YAML files: stripped \`CC: <id>.\` prefix from every \`Description\` / \`statement\` field, kept the free-form text - \`mise-tasks/review-compliance-reports\`: removed CC mentions from docstrings, panel text, and the node-verification table title. Node-verification logic itself is unchanged. - \`docs/reference/operations/security.md\`: removed the "Compensating controls" section - \`docs/how-to/operations/read-compliance-reports.md\`: rewrote step 3 of "Acting on findings" to point at the mutelist YAML directly - \`docs/changelog.d/prowler-iac-mutelist.infra.md\`: rewrote to drop the "two new compensating controls" framing ## What did not change - All Prowler manifests (cronjobs, RBAC, PVs, kustomization) — scans still run on the same schedule - The Kingfisher deployment - The trivy-shim in the Prowler container — that's about Trivy ignorefile plumbing, independent of the CC concept - The mutelist entries themselves — each \`Resources\` list is unchanged; only the prose of \`Description\` was edited - \`CHANGELOG.md\` — historical releases are left as-is ## Test plan - [ ] Wait for human review before deploying — once merged, re-point ArgoCD: \`argocd app set prowler --revision main && argocd app sync prowler\` (no manifest changes besides the ConfigMap, so impact is limited to muted-finding descriptions in next week's report) - [ ] Confirm next weekly Prowler K8s CIS run (Sunday 3am) still completes and produces a report on sifaka - [ ] Confirm next weekly Prowler IaC run still honors \`trivyignore.yaml\` (the trivy shim is untouched but the ignorefile content was rewritten) - [ ] \`mise run review-compliance-reports\` — verify node-verification block still runs and prints the renamed table title Reviewed-on: #359 |
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|---|---|---|
| .claude | ||
| .forgejo/workflows | ||
| .github | ||
| ansible | ||
| argocd | ||
| containers | ||
| docs | ||
| fly | ||
| mise-tasks | ||
| nixos/ringtail | ||
| pulumi | ||
| src/blumeops | ||
| utils/qart | ||
| .ansible-lint | ||
| .gitattributes | ||
| .gitignore | ||
| .yamllint.yaml | ||
| AGENTS.md | ||
| Brewfile | ||
| CHANGELOG.md | ||
| CLAUDE.md | ||
| dagger.json | ||
| LICENSE | ||
| mise.toml | ||
| prek.toml | ||
| pyproject.toml | ||
| README.md | ||
| service-versions.yaml | ||
| towncrier.toml | ||
| uv.lock | ||
blumeops
aka "Blue Mops"
Tools and configuration for Erich Blume's personal infrastructure, orchestrated across a Tailscale tailnet.
This is a homelab, but it's also a testing ground for AI-assisted infrastructure development. Much of this codebase was initially co-authored with Claude Code, and the repo places heavy emphasis on documentation, process, and change classification to make that collaboration work well. I don't know entirely how I feel about LLMs in our current era (there are real concerns about how training data is sourced and energy subsidy) but it felt important to learn how to work with these tools.
The full documentation is published at docs.eblu.me
and lives in the docs/ directory, structured around the
Diataxis framework and designed to be compatible with
Obsidian/Obsidian.nvim.
What runs here
Services are a mix of Kubernetes pods (managed by ArgoCD), macOS LaunchAgent services (managed by Ansible), and NixOS systemd services (managed by Nix flakes), all connected via Tailscale:
- Indri (Mac Mini M1) - primary server. Most services run in Minikube via ArgoCD; Forgejo, Caddy, and others run natively as LaunchAgent services via Ansible.
- Ringtail (NixOS desktop, RTX 4080) - GPU workloads (Frigate NVR, Authentik SSO) on k3s, plus NixOS systemd services.
- Sifaka (Synology NAS) - backup target and bulk storage.
Notable services include Grafana/Prometheus/Loki observability, Immich photos, Jellyfin media, Forgejo git forge, a Zot container registry, and more. Public access is routed through a Fly.io proxy; everything else is tailnet-only.
Project structure
ansible/ Ansible playbooks and roles (indri, sifaka)
argocd/apps/ ArgoCD Application definitions
argocd/manifests/ Kubernetes manifests per service
containers/ Custom container builds (Dockerfile + Nix)
docs/ Diataxis documentation (published at docs.eblu.me)
fly/ Fly.io public proxy configuration
mise-tasks/ Operational scripts run via mise
nixos/ NixOS configuration for ringtail
pulumi/ Pulumi IaC (Tailscale ACLs, Gandi DNS)
.dagger/ Dagger CI pipelines
.forgejo/ Forgejo Actions CI/CD workflows
Getting started
You'll need Homebrew and mise:
brew bundle # install CLI tools (argocd, tea, flyctl, etc.)
mise install # install managed toolchains (ansible, pulumi, dagger, etc.)
prek install # set up git hooks
Git hooks (via prek) enforce secret scanning
(TruffleHog), linting, formatting, and custom checks like doc link validation
and the Mikado branch invariant. They run automatically on git commit.
Operational tasks are driven through mise. Run mise tasks to see what's
available. Key examples:
mise run provision-indri # deploy to indri via Ansible
mise run services-check # verify service health
mise run container-list # list tracked container images
AI-assisted development
This repo is designed to be worked on by both humans and AI agents. The
AGENTS.md file provides shared instructions for agentic tools, and the
docs/tutorials/ai-assistance-guide.md
explains the full workflow.
Changes are classified before starting work:
- C0 - quick fixes, committed directly to main
- C1 - feature branch + PR, documentation written before code
- C2 - multi-phase work using the Mikado method for dependency tracking
See the agent change process for details.