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Slipway gives you two views of how things are running: an org-wide Metrics dashboard of deployment history, and a per-environment Metrics tab of live resource usage.

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Org dashboard

The Metrics page in the org sidebar is a dashboard over your deployment history. The numbers are exact — they come from real deployment records, not sampling.
Org metrics dashboard
TileShows
Deployments by triggerCounts split across push / pull request / manual.
Success rateShare of deployments that reached healthy.
Failure breakdownFailures grouped by the phase they happened in (build vs deploy).
Build durationp50 / p90 / p99 build times per repo. A spike usually means a heavier base image.
Top repos / authorsMost active repos and GitHub authors. Authors are attributed from the commit, even if they’ve never signed in.
Active previewsHow many deployments are currently healthy.
Pick a window — 24 hours, 7 days, 30 days, or 90 days; all tiles share it. Only completed deployments count, so in-flight ones don’t appear in the success-rate or failure tiles until they finish.

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Environment resource usage

Every environment’s detail page has a Metrics tab showing CPU, memory, and request throughput over time — a total line plus a breakdown per service (or per pod). Sampling is always on; the first points appear within a minute of a deploy, and 30 days of history are kept.
  • CPU is actual usage in millicores (1000m = 1 core), not the request or limit.
  • Memory is the container working set.
  • Requests is throughput at the public edge, split by status class (2xx–5xx), so a deploy that starts erroring is obvious at a glance. Service-to-service calls inside the environment don’t pass the edge and aren’t counted.
Switch the window between 1h / 24h / 7d / 30d; charts refresh every 30 seconds, and the table lists each group’s average and peak. By service is the default and keeps a stable line across redeploys; By pod shows individual pods.
Environments on a cluster you bring yourself aren’t sampled — their Metrics tab is empty.