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Is Prefect Down?

No — Prefect is up

Reachable from all 8 checked regions

Average response time: 501ms

Last checked · checks run every 6 hours

Official status page: https://status.prefect.io

Prefect uptime

Last 7 days
Last 30 days
Last 90 days
Avg response, 30 days

Measured from multiple regions every 6 hours. Percentages count only checks that returned an availability answer — 2 days measured so far. A dash means that window does not yet hold enough measured days to publish a figure.

30-day history

Jul 26: no data
Jul 27: no data
Jul 28: no data
Jul 29: no data
Jul 30: no data
Jul 31: no data
Aug 1: no data
Aug 2: no data
Aug 3: no data
Aug 4: no data
Aug 5: no data
Aug 6: no data
Aug 7: no data
Aug 8: no data
Aug 9: no data
Aug 10: no data
Aug 11: no data
Aug 12: no data
Aug 13: no data
Aug 14: no data
Aug 15: no data
Aug 16: no data
Aug 17: no data
Aug 18: no data
Aug 19: no data
Aug 20: no data
Aug 21: no data
Aug 22: 100.00% uptime, 24 checks
Aug 23: 100.00% uptime, 32 checks
Aug 24: no data
Jul 26 Today
No downtime Partial Downtime Not measurable No data

Reachability by region

Each region runs its own request from a different part of the world. A service can be up for one continent and down for another, which is usually the first sign of a routing or CDN problem.

ams
491ms
DNS 74ms TCP 1ms TLS 18ms TTFB 299ms
lax
473ms
DNS 148ms TCP 1ms TLS 26ms TTFB 318ms
lhr
344ms
DNS 24ms TCP 2ms TLS 7ms TTFB 195ms
nrt
528ms
DNS 81ms TCP 1ms TLS 19ms TTFB 341ms
ord
261ms
DNS 84ms TCP 2ms TLS 26ms TTFB 201ms
sin
803ms
DNS 178ms TCP 1ms TLS 6ms TTFB 727ms
sjc
362ms
DNS 29ms TCP 1ms TLS 7ms TTFB 144ms
syd
943ms
DNS 209ms TCP 1ms TLS 8ms TTFB 722ms
yyz
281ms
DNS 109ms TCP 0ms TLS 22ms TTFB 214ms

What Prefect does

Prefect orchestrates Python data workflows. Prefect Cloud holds the schedule, the run history and the orchestration API, while workers deployed in the customer's own infrastructure poll it for work and execute flows there. Data teams use it to run pipelines on a schedule and to see what failed, so it sits between the schedule and the compute rather than being the compute.

What an outage looks like

Scheduled flow runs never start, because workers poll the Prefect API for work and nothing is answering. Runs already executing keep going on your own infrastructure but stop reporting, so the interface shows them as running long after they finished. Logs and events go missing for the window, and automations and notifications do not fire.

What to do about it

Check status.prefect.io, which lists Orchestration, Login and Access, UI, Observability, Automations, Notifications and Serverless as separate components. If only the UI is affected, scheduling is unaffected and there is nothing to do. Let workers keep polling rather than restarting them, since they retry on their own. Before re-triggering a pipeline by hand, check whether the missed run has already been queued.

Is it down for everyone, or just you?

If this page says Prefect is up but it is not loading for you, the problem is between you and them. Run a check against any URL from all 18 regions to find out where it breaks.

Test it yourself

Related services

Prefect outage FAQ

Does a Prefect Cloud outage stop flows that are already running?
Not immediately. Flows execute on your own workers, so the Python keeps running where it was. What breaks is the reporting path: logs sent to the Prefect Cloud API do not arrive, state updates are not recorded, and the run appears stuck in the interface. The work may well have completed successfully with no record that it did.
Why did my scheduled run never start?
Because workers get their work by polling. A worker checks its work pool for scheduled runs at a regular interval, fifteen seconds by default, and if the orchestration API is unavailable there is nothing to hand it. The worker itself is healthy and picks the run up once the API answers, which is why restarting workers during an incident does not help.
Is self-hosted Prefect Server affected?
No. Prefect Server runs in your own infrastructure and does not depend on Prefect Cloud, so an incident on Prefect's side does not reach it. Workers can be pointed at either one. If you are self-hosted and flows have stopped, the cause is in your own deployment rather than anything on the status page.
Do automations and notifications catch up after an outage?
Treat them as missed rather than delayed. Automations and Notifications are tracked as their own components, separate from Orchestration, which means alerting can fail while flows keep being scheduled. That is the dangerous combination: a pipeline fails, the notification never arrives, and nobody looks until the next morning.

How we measure this

  • We request Prefect's public endpoint every 6 hours from Fly.io regions across six continents — 8 of them answered the most recent check.
  • A region counts as down only when it gets no usable HTTP response. A 403 or 429 means the origin answered and refused us, which we report as blocked, never as an outage.
  • A single failing region is treated as probe noise. We only change the verdict when two consecutive cycles agree.
  • Response times average only the regions that actually served the page, so a timeout never inflates the number.
  • Where Prefect publishes an official status feed we read it too. An all-clear from the vendor can soften an unconfirmed degradation; a vendor-declared outage only worsens our verdict when our own checks corroborate it.

Get alerted when Prefect goes down

This page refreshes every 6 hours. Your own monitors run as often as every 30 seconds, from the same 18 regions, and tell you the moment something breaks.

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