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y-cluster

Single Go binary for local Kubernetes cluster lifecycle, image management, and declarative convergence. Replaces a stack of shell scripts that previously drove ystack and checkit's local clusters.

What it does

$ y-cluster --help        # full subcommand list

Subcommand groups:

  • provision / teardown / export / import — bring up a local k3s cluster (qemu VM or k3s-in-docker), tear it down, or move the disk between hosts as a VMware appliance.
  • yconverge — apply a kustomize base with ordering by CUE imports and post-apply checks. Symlink the binary as kubectl-yconverge to use it as a kubectl plugin.
  • detect / ctr / crictl — discover the local cluster's backend by kubeconfig context and run ctr or crictl on the node through the right transport (Docker daemon API for the docker provisioner, SSH for qemu). Replaces ystack's y-cluster-local-{detect,ctr,crictl}.
  • images list / cache / load — extract image refs from a YAML stream, pull a single ref into a local OCI cache, or stream an OCI archive into the cluster node's containerd. The airgap path for both system images (handled inside provision) and arbitrary user-built images.
  • cache info / purge — inspect or wipe y-cluster's shared download cache (k3s airgap bundles, image OCI layouts).
  • lifetime status / reap / extend / arm / disarm / gcp-flags — cost-control auto-expiry. A lifetime.maxRun in the config gives the cluster a wall-clock budget counted from when it starts; on expiry a local cluster runs its onExpiry action (stop by default) via a host timer, and a GCP appliance is deleted by GCP itself (gcp-flags emits the --max-run-duration flags). See the "lifetime" idea below.
  • serve / serve ensure / serve stop / serve logs — a lightweight HTTP server that exposes config assets to the cluster: kustomize-built Secrets named y-kustomize.{group}.{name} become /v1/{group}/{name}/{key} URLs. Replaces the y-kustomize service in ystack.

Every subcommand has its own --help with the flags and context. The README is intentionally short — when something is discoverable from y-cluster <cmd> --help, that's where it lives.

Three ideas worth knowing before you start

lifetime: the budget is counted from start, and the trigger lives where the cost is. lifetime.maxRun is a wall-clock budget that begins when the cluster starts (re-anchored on every y-cluster start), not when it was provisioned — an appliance disk may boot days after it was built. Locally the host is the cost, so a host timer fires y-cluster lifetime reap, which stops the cluster (or the configured onExpiry action). On a GCP appliance the host mustn't be the trigger (it may be offline), so lifetime gcp-flags hands the duration to GCP's native --max-run-duration, and GCP deletes the instance on its own — the attached data disk survives. reap re-checks the persisted deadline and re-arms if it isn't due, so lifetime extend 2h is safe and a stale timer is harmless.

yconverge: ordering vs checks come from different places. CUE imports in yconverge.cue declare ordering — each import is a separate yconverge invocation that runs its own apply and checks before yours. Kustomize tree traversal collects checks across the whole base, so an overlay's checks include the base's. The two mechanisms are deliberately separate: ordering across modules uses CUE; checking after one apply uses traversal. y-cluster yconverge --help has the rule.

serve: the URL is derived from the Secret name. A Secret called y-kustomize.kafka.setup-topic-job with a data key base-for-annotations.yaml is served at /v1/kafka/setup-topic-job/base-for-annotations.yaml. This is true whether the Secret comes from kustomize build of a local source (type: y-kustomize-local) or a Kubernetes informer (type: y-kustomize-incluster). The two modes are interchangeable; switch by changing type: in y-cluster-serve.yaml.

Specs

Design notes, migration recipes, and the still-pending feature spec live in ../specs/y-cluster/. The binary's behaviour is the source of truth for what's implemented; the specs are kept for design rationale and in-flight scope.

Issues / feedback

github.com/Yolean/y-cluster/issues

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