The `dokku.com/cron-id` label could exceed Kubernetes' 63-byte cap because the cron ID is `base36(appName === command === schedule)`, which expands roughly 1.5x per byte. The label is now keyed `dokku.com/cron-hash` and holds the `sha1` hex digest of the cron-id, a fixed 40-character value that always fits the cap. The same hex digest is mirrored into the `dokku.com/cron-hash` annotation, and the original base36 cron-id stays in the `dokku.com/cron-id` annotation that `cron:list` reads when surfacing user-facing IDs. Per-task lookups stay server-side via label selectors, so `cron:set --maintenance` and the forbid/replace concurrency checks on `dokku run --cron-id` keep working without any in-memory filtering.
The cron-id label could exceed Kubernetes' 63-byte cap when commands or
schedules were long, and an all-digit job-suffix or cron-id rendered as
an unquoted YAML scalar caused the API server to reject manifests. Run
pods built from dockerfiles also occasionally hit the 10s startup wait
on a cold image pull, even though the pod was scheduled correctly.
The cron-id is now stored as an annotation and a shorter hash is used as
the selector label. Every interpolated annotation and label value in the
cron-job and deployment templates is now quoted to prevent numeric
coercion, and the run-pod wait timeout is raised to 30 seconds.
Mirror the docker-local fix in #8525 for the k3s scheduler. CNB images default to a `/cnb/process/web` entrypoint that ignores incoming args, so non-web deployments, scheduled cron jobs, and ad-hoc `dokku run` / `cron:run` commands all need an explicit `launcher` entrypoint. The deployment and cron-job helm templates now set `command: [launcher]` when `image.type` is `pack`, and `TriggerSchedulerRun` sets the entrypoint to `launcher` for pack images while finishing the previously stubbed Procfile lookup branch so the resolved command is actually scheduled.
Adds a per-entry storage helm chart that owns the PVC and (when host_path is set) the PV, and three triggers for the storage plugin to drive: storage-create installs/upgrades the chart with storage-class existence validation, storage-destroy uninstalls it, storage-status reports the PVC phase. App deployment and cron-job charts now consume storage-app-mounts and reference each PVC by name; the // todo: implement volumes blocks are gone. ProcessVolume gained sub_path, read_only, and persistent_claim fields and the deployment/cron-job templates render them.
The new config and pull secret helm releases need to honor user-set annotations and labels for `--resource-type secret` so existing scheduler-k3s annotation tests keep passing. The dedicated charts now render `.Values.global.annotations` and `.Values.global.labels` onto their Secret manifest, and the deploy trigger plumbs `SecretAnnotations` and `SecretLabels` from the global annotation/label config. The rollback regression bats test now uses `dokku ps:rebuild` for its second deploy because git push of an unchanged ref is rejected by the dokku remote.
Bundling these Secrets in the app helm chart caused two bugs in the scheduler-k3s plugin: a chart rollback could delete Secrets that older ReplicaSets still referenced by exact timestamped name (`env-{app}.{ts}` and `ims-{app}.{ts}`), hard-crashing pods until manual intervention; and the strategic-merge `patchMergeKey` on `imagePullSecrets` let stale entries leak into the live Deployment until the list pointed at many nonexistent Secrets. Each Secret now lives in its own helm release with a stable name (`config-{app}` and `pull-secret-{app}`), installed before the app chart on every deploy. The deployment trigger also prunes any leaked `imagePullSecrets` entries from the live Deployment so the next deploy lands on a clean list, and the rename and destroy paths uninstall the new releases (and the previously-leaked TLS release on rename) under the old app name.
Keda 2.17+ rejects ScaledObjects whose spec.fallback is set unless at least one trigger is not a cpu or memory scaler, so unconditionally emitting fallback broke deploys for apps autoscaled on cpu or memory alone. The chart now skips the fallback block when every configured trigger is cpu or memory and keeps the existing behavior otherwise.
- Mount `/vector-data-dir` from host (`/var/lib/vector` via `hostPath`, `DirectoryOrCreate`) so `kubernetes_logs` checkpoints survive pod restarts; resolves conflict with the chart's read-only `/var/lib` default volume
- Enable Vector API on `:8686` and wire HTTP `/health` liveness and readiness probes; add `internal_metrics` source and `prometheus_exporter` sink on `:9090` so the `prom-exporter` service port is actually backed by an exporter
- Set explicit `targetPort` on the `prom-exporter` port to avoid inference mismatches
- Remove the `.message = .message` no-op
- Add `node-role.kubernetes.io/control-plane` toleration alongside the legacy `master` key so the DaemonSet schedules on control-plane nodes regardless of cluster age
If the values set by keda do not match the current deployment replicas value, the deployment object may be scaled in unexpected ways during a helm release. This change ensures keda will continue to manage that value correctly without the deployment object setting it back to something else.
Keda isn't in use by everyone, yet commands significant resources. This change makes it so a 2GB server is enough to run Dokku and a couple of small apps.
If a global vector-sink property on the logs plugin is set, we will use that to configure a log sink (defaulting to console output otherwise). Note that the actual configuration still needs to be a valid DSN representing a Vector log sink.
While this does not support pinning log sinks to specific apps, it opens up integration for those who use a single k3s cluster in shared tenancy.
Domains cannot be reused across ingress objects, and port maps are a function of a domain, so the inversion here makes most sense (at the cost of some downtime when migrating.
