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Uptime history and response-time trends without unnecessary noise.

Move from a single incident to the wider picture. Review uptime, average response time, incidents, MTBF and MTTR over the period that matters.

Illustrative example · Demo data
24h · 7d · 30d · 90d · 365d
Uptime99.98%MTTR10 min
  1. 0124h · 182 ms
  2. 027d · 218 ms
  3. 0330d · 205 ms
  4. 0490d · 211 ms

Fictional sequence. Animation timing is not check cadence or a performance promise.

01

Choose the right window

Use 24h, 7d, 30d, 90d or 365d presets, choose a custom range, or review the entire available history. A short window helps investigate a release; a longer one helps you understand recurring behavior.

02

Read reliability metrics together

Uptime describes observed availability. Average response describes measured latency. MTBF summarizes time between failures, while MTTR summarizes recovery duration. A metric without enough evidence may be unavailable rather than a meaningful zero.

03

Use history to ask better questions

Look for response-time changes around an incident, compare periods after a release, and review recovery patterns. Historical observations describe your monitored target; they are not a future uptime guarantee.

In practice

Where this signal earns its place.

  • A 24-hour investigation after a release.
  • A monthly review of response-time trends.
  • Longer-term incident and recovery analysis.

A closer look

Can I choose my own dates?

Yes. Custom ranges and the entire available history are supported alongside 24h, 7d, 30d, 90d and 365d presets.

Are the numbers on this page real customer results?

No. All charts and metrics in the marketing examples use fictional demonstration data, not customer data or performance promises.

Connect the context

Related signals

All features

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