How we handle status pages, health endpoints, and runtime signals

A binary uptime signal is not enough for a product that runs scheduled jobs, public checks, and client-side dashboards. The useful question is not only whether the API process is up, but whether the platform is actually producing successful checks and usable results.

That is why status views work best when they combine service reachability with recent audit totals, free-check volume, and a compact view of whether requests are succeeding or being rate-limited.

Health endpoints are easiest to trust when they stay small and deterministic. They should be stable enough for deployment validation and monitoring without trying to act as an entire diagnostic dashboard themselves.

Users read status pages during uncertainty. The design should therefore be calm and direct. Show the current signal, a small set of recent metrics, and just enough context that people know whether they should retry, wait, or investigate their own configuration.

When the status page already answers the obvious questions, fewer users need to ask support whether the API is down, whether free checks are limited, or whether the last deployment changed service behavior.