blumeops/docs/explanation/why-gitops.md
Erich Blume 40f220780d Review why-gitops doc: fix wiki-links, accuracy, add last-reviewed
- Fix misleading [[tailscale|Pulumi]] link → [[pulumi]]
- Simplify [[ansible|Ansible]] and [[argocd|ArgoCD]] to plain wiki-links
- Rename "Tailnet" layer to "Network" to reflect Pulumi's full scope (ACLs + DNS)
- Fix apt install → brew install (indri is macOS)
- Add [[pulumi]] to Related section
- Add last-reviewed frontmatter

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-13 16:47:28 -08:00

2.7 KiB

title modified last-reviewed tags
Why GitOps 2026-02-13 2026-02-13
explanation
philosophy

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:

  1. Memory is unreliable - Six months from now, you won't remember why you configured Caddy that way
  2. Experimentation is constant - You try things, break things, want to undo things
  3. 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
Network pulumi Tailscale ACLs, tags; Gandi DNS
Host config ansible Services on indri
Kubernetes argocd Containerized workloads

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 brew 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.