ClickHouse Cloud Uptime History

Measured by PulsAPI's own checks, not reported by ClickHouse Cloud. Every figure below is computed over the 143 days in the last 365 that PulsAPI actually observed, from 2026-05-22 to 2026-10-11. Days nobody watched are left out rather than counted as perfect.

ClickHouse Cloud Uptime at a Glance

Measured uptime
100.00%

across 143 observed days

Days with an issue
19

days were not fully operational

Longest outage
81d 19h

single longest resolved incident

Mean recovery
2d 2h

average time to resolve

Monthly ClickHouse Cloud Uptime

Each month is the mean of its observed days. Months with few observed days are marked, because a short month is not evidence of a good one.

Monthly uptime, newest first, with the number of days observed in each month.
MonthUptimeUptime barDays observed
October 2026100.00%11partial
September 2026100.00%30
August 2026100.00%31
July 2026100.00%31
June 2026100.00%30
May 2026100.00%10partial

Get an email when ClickHouse Cloud moves

Every figure on this page came from a check we ran. Those same checks can reach your inbox the moment ClickHouse Cloud stops being operational, so the next dip arrives as a notification rather than a row you find later.

Free, no password, no card. Unsubscribe in one click.

How This ClickHouse Cloud Uptime Figure Is Measured

PulsAPI checks ClickHouse Cloud continuously (every 60 seconds while it is moving) and records the result. A day's uptime is the share of that day's checks that came back fully operational, so a 20-minute outage shows up as a dip rather than being rounded away. The window figure is the mean of those daily values.

Two things this deliberately is not. It is not ClickHouse Cloud's own published uptime, because vendors generally measure against their own SLA definitions, which usually exclude scheduled maintenance and often exclude partial degradation. And it is not a promise about the future: 143 days of history describes what happened, and the useful way to read it is alongside the incidents behind the dips.

Uptime measured this way is a mean of component uptimes where a vendor publishes components, so coverage matters as much as the percentage. That is why the observed-day count sits beside every figure on this page rather than in a footnote.

These measurements are published under CC BY 4.0. Quote or republish them freely, with attribution to PulsAPI.