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register-referentie/.gitea/workflows/deploy.yaml
T
notandClaude Opus 5 d17e79959b ci(deploy): say why a deploy stalled, and document the cluster prerequisite (refs #175)
The first run against the lab server's VM timed out on `kubectl rollout status`
for the in-cluster registry with nothing but "timed out waiting for the
condition". The cause was three commands up the runbook: that VM was installed
from a stock Talos config, so the only node still carries the control-plane
taint and no pod can schedule — and the missing registry mirror would have
failed the image pulls right after.

`rollout status` can only ever report the symptom, so dump the whole cluster's
pods and the recent events on failure instead of `big`'s pods alone; the
scheduler's "untolerated taint" message is the answer and it lives in the
events. Runbook §9 now opens with the machine-config patch the deploy assumes,
as one applied-live patch rather than a `kubectl taint` that the controller
undoes.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-18 16:01:47 +02:00

117 lines
5.3 KiB
YAML

name: Deploy to Talos
# A merge to main ships the stack to the Talos cluster on the lab server
# (docs/runbooks/kubernetes-talos.md §9). PR CI is the merge gate, so main is
# green by construction — this workflow only deploys.
on:
push:
branches: [main]
workflow_dispatch:
permissions:
contents: read
# Queue deploys, never cancel one: a helm upgrade killed half-way leaves the
# release in `pending-upgrade` and the next run has to be unwedged by hand.
concurrency:
group: deploy-talos
cancel-in-progress: false
jobs:
deploy:
runs-on: ubuntu-latest
env:
# The Talos VM as seen from the Fedora host (libvirt guest IP), and the
# address a browser uses to reach the cluster. `localhost` is deliberate:
# the portals' PKCE needs a secure context, so they are reached over
# `kubectl port-forward` — runbook §5. Override with repo variables.
TALOS_VM_IP: ${{ vars.TALOS_VM_IP }}
TALOS_HOST: ${{ vars.TALOS_HOST }}
steps:
- uses: https://github.com/actions/checkout@v4
# Pinned static binaries, the same URLs the Talos runbook §0 gives a
# developer and the same helm the `k8s` CI job uses — no action to vet.
- name: Install kubectl, helm and crane
run: |
set -euo pipefail
bin="$HOME/.local/bin"; mkdir -p "$bin"
curl -sSLo "$bin/kubectl" https://dl.k8s.io/release/v1.37.0/bin/linux/amd64/kubectl
curl -sSL https://get.helm.sh/helm-v3.16.4-linux-amd64.tar.gz | tar xz -O linux-amd64/helm > "$bin/helm"
curl -sSL https://github.com/google/go-containerregistry/releases/download/v0.20.2/go-containerregistry_Linux_x86_64.tar.gz | tar xz -O crane > "$bin/crane"
chmod +x "$bin"/{kubectl,helm,crane}
echo "$bin" >> "$GITHUB_PATH"
# The cluster's API and its registry are only reachable through the Fedora
# host, so forward both to the runner. 30141 is the openbaar portal, for
# the smoke at the end.
- name: Tunnel the Talos API + registry through the Fedora host
env:
SSH_KEY: ${{ secrets.TALOS_SSH_KEY }}
run: |
set -euo pipefail
: "${TALOS_VM_IP:=192.168.122.173}"
umask 077
printf '%s\n' "$SSH_KEY" > ~/.ssh_talos
ssh -i ~/.ssh_talos -o StrictHostKeyChecking=no -o IdentitiesOnly=yes \
-o ExitOnForwardFailure=yes -p 6667 -f -N \
-L 6443:$TALOS_VM_IP:6443 \
-L 30500:$TALOS_VM_IP:30500 \
-L 30141:$TALOS_VM_IP:30141 \
user@labs.respellion.tech
# The kubeconfig's server must be https://127.0.0.1:6443 — Talos puts
# 127.0.0.1 in the apiserver cert SANs, so TLS verification still holds
# through the tunnel.
- name: Write the kubeconfig
env:
KUBECONFIG_B64: ${{ secrets.TALOS_KUBECONFIG }}
run: |
set -euo pipefail
umask 077
base64 -d <<< "$KUBECONFIG_B64" > "$RUNNER_TEMP/kubeconfig"
echo "KUBECONFIG=$RUNNER_TEMP/kubeconfig" >> "$GITHUB_ENV"
kubectl --kubeconfig "$RUNNER_TEMP/kubeconfig" get nodes
# Idempotent; also makes a first deploy onto a bare cluster work. The
# registry's storage is an emptyDir, so a replaced pod loses the images —
# which the push in the next step puts back anyway.
- name: Ensure the in-cluster registry
run: make k8s-registry
# Push through the tunnel (localhost), pull from the node's own NodePort
# (the address in the Talos registry-mirror patch) — same registry, two
# names, so the two `make` calls get different K8S_REGISTRY values.
- name: Build and push the images
run: make k8s-images K8S_REGISTRY=localhost:30500
# k8s-reseed = seed configmaps + helm upgrade + re-run the bootstrap jobs.
# The jobs are idempotent, and deleting them first is what keeps a changed
# Job template from wedging the upgrade (`cannot patch … with kind Job`).
- name: Deploy the chart
run: make k8s-reseed TALOS_HOST=${TALOS_HOST:-localhost} K8S_REGISTRY=${TALOS_VM_IP:-192.168.122.173}:30500
# `dev` is a mutable tag and helm sees an unchanged pod template, so the
# new images only land on a restart (pullPolicy is already Always).
- name: Roll the services onto the new images
run: |
set -euo pipefail
svcs="acl domain bff event-subscriber projection-api self-service openbaar behandel beheer"
kubectl -n big rollout restart deploy $svcs
kubectl -n big rollout status --timeout=300s deploy $svcs
# Proves portal → Caddy → BFF → projection end to end. An empty register is
# a pass; a 502 or a timeout is not.
- name: Smoke the public register
run: curl -fsS --retry 10 --retry-delay 6 --retry-all-errors http://localhost:30141/openbaar/register
# Cluster-wide, not just `big`: the first thing that can fail is the registry
# in its own namespace, and a scheduling problem shows up in the events, not
# in `rollout status` — which only ever says "timed out waiting".
- name: Pods and events on failure
if: failure()
run: |
kubectl get pods -A -o wide || true
kubectl -n big get jobs || true
kubectl get events -A --sort-by=.lastTimestamp | tail -30 || true