## Summary Migrates the docs build pipeline to Dagger (Phase 2 of the Dagger CI adoption plan). - **Backfill `date-modified` frontmatter** on all 80 docs — Dagger's `--src=.` excludes `.git`, so Quartz can't use git history for page dates. Frontmatter dates work with or without git. - **New `docs-check-frontmatter` mise task + pre-commit hook** — validates all docs have `title`, `tags`, and `date-modified` - **New Dagger functions** — `build_changelog` (towncrier in Python container) and `build_docs` (chains changelog → Quartz build in Node container, returns tarball) - **Simplified CI workflow** — the ~44-line inline Quartz build (clone, npm ci, build, tar, cleanup) is replaced by `dagger call build-docs`. Changelog step remains local on the runner since towncrier needs to modify the host working tree for the git commit. ### Design decisions - **Towncrier runs twice in CI**: once inside Dagger (for the docs tarball) and once on the runner (for the git commit). This is intentional — Dagger's directory export is additive and can't delete the consumed changelog fragments from the host. - **Artifact hosting stays on Forgejo Releases** (not migrated to Forgejo Packages as the plan doc originally suggested). That migration can happen independently. - **`date-modified` frontmatter** preserved even though `build_changelog` installs git — the git there is only for towncrier's `git add` call, not for history. The local iteration story (`dagger call build-docs --src=. --version=dev` with uncommitted changes) depends on frontmatter dates. ### Local iteration ```bash dagger call build-docs --src=. --version=dev export --path=./docs-dev.tar.gz tar tf docs-dev.tar.gz | head -20 ``` ## Deployment and Testing - [x] `dagger call build-docs --src=. --version=dev` produces valid 1.1MB tarball (149 HTML pages) - [x] Pre-commit hooks pass (including new `docs-check-frontmatter`) - [ ] Full `workflow_dispatch` run after merge 🤖 Generated with [Claude Code](https://claude.com/claude-code) Reviewed-on: https://forge.ops.eblu.me/eblume/blumeops/pulls/157
4.1 KiB
4.1 KiB
| title | date-modified | tags | |||
|---|---|---|---|---|---|
| Kubernetes Bootstrap | 2026-02-07 |
|
Bootstrapping Kubernetes
Audiences: Replicator
This tutorial walks through setting up a Kubernetes cluster for your homelab, making it accessible via Tailscale.
Choosing a Distribution
For homelab use, lightweight distributions work well:
| Distribution | Best For | BlumeOps Uses |
|---|---|---|
| Minikube | Single-node, macOS | Yes |
| k3s | Single-node, Linux | - |
| kind | Local development | - |
| kubeadm | Multi-node clusters | - |
This tutorial uses minikube, but principles apply broadly.
For BlumeOps specifics, see cluster.
Step 1: Install Minikube
macOS
brew install minikube
Linux
curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube
Step 2: Create the Cluster
minikube start \
--driver=docker \
--cpus=4 \
--memory=8g \
--disk-size=100g \
--apiserver-names=k8s.your-tailnet.ts.net,$(hostname) \
--listen-address=0.0.0.0
Key flags:
--apiserver-names- Include your Tailscale hostname for remote access--listen-address=0.0.0.0- Allow connections from other machines
Step 3: Verify the Cluster
kubectl get nodes
# Should show your node as Ready
kubectl get pods -A
# Should show system pods running
Step 4: Expose via Tailscale
To access the cluster from other Tailscale devices, expose the API server:
Option A: Tailscale Serve (Simple)
tailscale serve --bg --tcp 6443 tcp://localhost:$(minikube ip --format '{{.Port}}')
Option B: Tailscale Kubernetes Operator (Advanced)
For production-like setup, install the Tailscale operator which manages ingress automatically.
BlumeOps uses TCP passthrough via Caddy - see routing.
Step 5: Configure Remote Access
On your workstation, add a context for the remote cluster:
# Copy the CA cert from the server
scp server:~/.minikube/ca.crt ~/.kube/minikube-ca.crt
# Add the cluster
kubectl config set-cluster minikube-remote \
--server=https://k8s.your-tailnet.ts.net:6443 \
--certificate-authority=$HOME/.kube/minikube-ca.crt
# Add credentials (copy from server's ~/.kube/config)
kubectl config set-credentials minikube-remote \
--client-certificate=... \
--client-key=...
# Add context
kubectl config set-context minikube-remote \
--cluster=minikube-remote \
--user=minikube-remote
# Test
kubectl --context=minikube-remote get nodes
Step 6: Storage Configuration
For persistent workloads, configure storage:
Local Path Provisioner (Simple)
kubectl apply -f https://raw.githubusercontent.com/rancher/local-path-provisioner/master/deploy/local-path-storage.yaml
kubectl patch storageclass local-path -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'
NFS for Shared Storage
If you have a NAS:
apiVersion: v1
kind: PersistentVolume
metadata:
name: nfs-share
spec:
capacity:
storage: 1Ti
accessModes:
- ReadWriteMany
nfs:
server: nas.your-tailnet.ts.net
path: /volume1/k8s
What You Now Have
- A Kubernetes cluster running on your server
- Remote access via Tailscale
- Storage for persistent workloads
Next Steps
- argocd-config - GitOps deployments
- Install essential addons (ingress controller, cert-manager)
BluemeOps Specifics
BlumeOps' cluster configuration includes:
- Tailscale operator for automatic ingress
- NFS mounts from sifaka for media storage
- CloudNativePG for PostgreSQL databases
See cluster and apps for full details.
Troubleshooting
| Problem | Solution |
|---|---|
| Can't connect remotely | Check --apiserver-names includes Tailscale hostname |
| Pods stuck pending | Check storage class is available |
| Connection refused | Verify --listen-address=0.0.0.0 was set |
| Certificate errors | Ensure CA cert matches server's |