Erich Blume dc46eb7def Update all docs titles to human-readable (#117 )

## Summary
- Updated frontmatter `title:` in all 63 doc cards from slug-case to human-readable (e.g. `borgmatic` → `Borgmatic`, `ai-assistance-guide` → `AI Assistance Guide`)
- Titles now closely match file stems so `[[wiki-links]]` render naturally without alternate anchor text
- Corrected titles that diverged from stems (e.g. `host-inventory` → `Hosts`, `grafana-alloy` → `Alloy`, `argocd-applications` → `Apps`)
- Deleted `title-test-alpha.md` and `title-test-beta.md` test cards and removed their reference index entry

## Deployment and Testing
- [x] `docs-check-links` passes — all wiki-links valid
- [x] `docs-check-index` passes
- [x] `docs-check-filenames` passes
- [ ] Verify titles render correctly on docs site after deploy

Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/117

2026-02-07 21:44:57 -08:00

2.7 KiB

Raw Blame History

title

Why GitOps?

Note: This article was drafted by AI and reviewed by Erich. I plan to rewrite all explanatory content in my own words - these serve as placeholders to establish the documentation structure.

BlumeOps uses GitOps principles for managing personal infrastructure. This might seem like overkill for a homelab, but there are good reasons.

The Problem with Manual Infrastructure

Traditional server management involves SSHing into machines and running commands. This works, but creates problems:

Drift: The actual state diverges from what you think it is
Amnesia: You forget what you changed and why
Fragility: One bad command can break things with no easy rollback
Bus factor: Only you know how it works (even AI assistants struggle without context)

Git as the Source of Truth

GitOps inverts the model: instead of pushing changes to servers, you commit desired state to Git, and automation pulls it into reality.

Benefits:

Every change is tracked with commit history
Pull requests enable review before deployment
Rollback is just git revert
The repo is the documentation

Why This Matters for a Homelab

A personal homelab isn't a production environment, but it shares the same challenges:

Memory is unreliable - Six months from now, you won't remember why you configured Caddy that way
Experimentation is constant - You try things, break things, want to undo things
AI assistance needs context - Claude can help much more effectively when it can read your infrastructure as code

The BlumeOps Approach

BlumeOps uses layered GitOps:

Layer	Tool	What it manages
Tailnet	[[tailscale	Pulumi]]
Host config	[[roles	Ansible]]
Kubernetes	[[argocd	ArgoCD]]

Each layer has its own reconciliation loop:

Pulumi applies on mise run tailnet-up
Ansible applies on mise run provision-indri
ArgoCD watches Git and syncs manually or automatically

Trade-offs

GitOps isn't free:

Learning curve - You need to understand Ansible, ArgoCD, Pulumi
Indirection - Can't just apt install something; need to add it to config
Complexity - More moving parts than a simple server

But for BlumeOps, the trade-off is worth it. The infrastructure is complex enough that managing it imperatively would be error-prone, and the GitOps approach enables effective AI-assisted operations.

architecture - How the pieces fit together
argocd - Kubernetes GitOps
roles - Host configuration

2.7 KiB Raw Blame History