Features
What ClueLake does.
Grouped by the job rather than by the signal. This page describes what ClueLake does, not a roadmap — and ClueLake is in development, with no public release yet.
Observability
Logs
Search, filtering and pattern grouping, with live tail. Lines carrying a trace id link to the trace.
Metrics
RED and saturation views, with percentiles that merge correctly across any range rather than averaging stored percentiles.
Traces
Trace search and waterfalls, with span detail and the deployment that produced the trace.
Infrastructure
Kubernetes
Namespace, cluster, workload and replica identity resolved from the platform rather than from telemetry attributes.
eBPF
Where Cilium and Hubble are available, network flows contribute service relationships without application changes.
Correlation
Deployment context
Deployment, image digest, build and commit stamped onto every event at ingest.
What changed
A regression lined up against the infrastructure events around it, in one timeline.
Cost control
Cardinality budgets
Per-workspace limits on active series, enforced at ingest and reported by name when exceeded.
Attribute policy
Allow lists, deny lists and redaction applied before storage.
Tail sampling
Keep errors and slow traces while reducing routine volume.
Querying
PromQL
PromQL for the supported query set, so existing dashboards and alert rules keep working.
SQL
Read-only SQL with the tenant predicate injected server-side and a cost estimate before execution.
Operations
Alerts
Threshold, PromQL, log pattern and burn-rate alerts, with stored state rather than state recomputed each evaluation.
SLOs
Objectives, error budgets and burn rate.
Audit
Append-only records of sign-in, credential and configuration changes.