Monitoring

This guide covers observing the Momento Valkey Operator and the clusters it manages: the operator's own logs, the per-cluster state signal, and the label taxonomy for building dashboards and alerts. Since the operator exposes no Valkey metrics itself, this guide also covers how to get them today.

Operator logs

The operator emits structured JSON logs to stdout. Log verbosity is controlled by the RUST_LOG environment variable on the operator Deployment (info by default):

kubectl -n valkey-operator logs deployment/valkey-operator

Because the logs are JSON, pipe them into whatever log pipeline you already run (a sidecar, a node-level collector, or kubectl logs -f | jq) rather than parsing them ad hoc. Logging is the full contract: the JSON structure, the fields that identify clusters and pods, what gets logged at each level, and Valkey node logs. See Operator configuration for how RUST_LOG is wired to the Deployment.

Cluster state

Each ValkeyCluster's status.state and status.message are the primary health signal:

kubectl get valkeyclusters -A -w

state is one of Creating, Active, or Invalid (Updating is reserved and not reported; a cluster mid-upgrade still shows Active). message is populated with a specific reason when state is Invalid. See Cluster status for the full schema.

Watching ValkeyNode lifecycle

ValkeyNode resources are the operator's internal record of each cluster member, and reading them is useful for watching a transition (a scale-out, an upgrade, a failure recovery) happen step by step:

kubectl get valkeynodes -n <namespace> -w

Nodes appear with Joining lifecycle, flip to Active once they finish joining the cluster, and briefly show Leaving on their way out. See Reconciliation for what drives each transition.

Building dashboards on labels

Every Valkey pod carries a stable set of labels (app.kubernetes.io/name=valkey, app.kubernetes.io/instance={cluster}, and a shard index) that are safe to build dashboards, NetworkPolicies, and alert rules on. See Labels and annotations for the complete taxonomy and which labels are stable versus transient.

What to alert on

Three signals cover most of what you need at the fleet level:

• state not Active for longer than your normal roll or bootstrap takes. A cluster stuck in Creating or Invalid past the time a routine change normally needs is worth paging on. See Troubleshooting for the common causes.
• Pod churn on a cluster. Repeated replacement of members in the same shard, outside of a change you initiated, points at an underlying failure (a bad node, a resource limit being hit, an unschedulable placement) rather than routine self-healing.
• The operator Deployment itself not available. See below.

Monitoring the operator itself

The operator exposes no liveness or readiness probe, no health endpoint, and no metrics port: there is nothing to scrape or poll on the operator process directly. Monitor it the same way you monitor any critical, unprobed Deployment:

• Alert on Deployment availability: kubectl -n valkey-operator get deployment valkey-operator reporting fewer available replicas than desired (normally one) means the operator is down. Because it runs a single replica with no leader election, "down" means no reconciliation is happening anywhere in the fleet. See Failure modes for what that does and does not affect.
• Alert on log flow stopping. A running pod that has stopped emitting logs (no reconciliation activity across any cluster) is a secondary signal that the process is wedged even though the Deployment reports Ready.

Valkey-level metrics

The operator does not expose Valkey metrics anywhere: Valkey pods are single-container with no metrics endpoint, and the operator adds none. To collect Valkey-level metrics today, deploy your own standalone exporter as a separate Deployment, pointed at the cluster's headless Service:

{cluster}.{namespace}.svc.cluster.local:6379

Authenticate the exporter with a dedicated ACL user scoped to read-only monitoring commands, rather than reusing an application credential. See ACLs for how to bind one. The exporter Deployment, its own annotations, and its scrape configuration are entirely yours to manage. spec.podAnnotations on the ValkeyCluster is for your own customer-owned tooling that needs annotations on the Valkey pods themselves (service-mesh injection and similar), not a mechanism for exposing metrics from those pods.

注記

Built-in metrics export is on the roadmap but not available today. See Roadmap.

Certificate expiry

The operator does not monitor or alert on TLS certificate expiry: an expired certificate leaves the cluster reporting Active while client connections fail. Monitoring certificate expiry is your responsibility. See TLS for the validation the operator does perform and how expiry is handled if you use cert-manager.