feat(github-runner): add top Linux repo runners

This commit is contained in:
Codex
2026-05-17 13:55:55 -05:00
parent 6f6ca50987
commit 266b9cb8be
4 changed files with 1050 additions and 80 deletions

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@@ -974,6 +974,19 @@ data:
summary: "Deployment {{ $labels.namespace }}/{{ $labels.deployment }} replica mismatch"
description: "Spec wants {{ $labels.spec_replicas }} but only {{ $value }} available. Likely a rollout stuck on probe failure, scheduling, or PVC."
- alert: LinuxRunnerOffline
expr: |
kube_deployment_status_replicas_available{namespace="github-runner",deployment=~"github-runner(|-(puppet|signage|dms|telephony|print-web|chat|mysql|kiosk-linux))"} < 1
for: 10m
labels:
severity: warning
service: github-runner
alert_channel: thermal_print
annotations:
summary: "Linux GitHub Actions runner offline: {{ $labels.deployment }}"
description: "{{ $labels.deployment }} has no available runner pod for 10 minutes. GitHub jobs using [self-hosted, linux, fc-build-linux] for its repo will queue at $0 until the runner returns."
runbook_url: "https://gitea.iamworkin.lan/bluejay/FlowerCore.Notes/src/branch/master/docs/infrastructure/self-hosted-runner-fleet.md"
# Q-MR-3 (2026-05-11): multus memory pressure — catches the next OOM
# cascade BEFORE multus is OOM-killed cluster-wide. The 2026-05-10
# outage (21h) hit because no alert fired on the rising multus working
@@ -3427,6 +3440,33 @@ data:
relativeTimeRange: {from: 120, to: 0}
datasourceUid: __expr__
model: {type: threshold, expression: B, conditions: [{evaluator: {params: [1], type: lt}}], refId: C}
- uid: linux-runner-offline
title: LinuxRunnerOffline
condition: C
for: 10m
noDataState: Alerting
execErrState: OK
annotations:
summary: Linux GitHub Actions runner offline
description: "A repo-scoped fc-build-linux runner deployment has no available pod. Jobs will queue at $0 until ArgoCD/K8s returns the runner."
runbook_url: "https://gitea.iamworkin.lan/bluejay/FlowerCore.Notes/src/branch/master/docs/infrastructure/self-hosted-runner-fleet.md"
labels:
severity: warning
service: github-runner
alert_channel: thermal_print
data:
- refId: A
relativeTimeRange: {from: 600, to: 0}
datasourceUid: prometheus
model: {expr: 'min by(deployment) (kube_deployment_status_replicas_available{namespace="github-runner",deployment=~"github-runner(|-(puppet|signage|dms|telephony|print-web|chat|mysql|kiosk-linux))"})', instant: true, refId: A}
- refId: B
relativeTimeRange: {from: 600, to: 0}
datasourceUid: __expr__
model: {type: reduce, expression: A, reducer: last, refId: B}
- refId: C
relativeTimeRange: {from: 600, to: 0}
datasourceUid: __expr__
model: {type: threshold, expression: B, conditions: [{evaluator: {params: [1], type: lt}}], refId: C}
- uid: high-cpu
title: High CPU (>85%)
condition: C