JouwWeb internal Outage History
14 incidents recorded over the last 365 days, 14 of them resolved. Durations are measured from when PulsAPI first saw the problem to when it cleared, which is usually longer than the vendor's own figure.
Every Recorded JouwWeb internal Incident
| Date | Incident | Duration | Status |
|---|---|---|---|
| Sep 2, 2026 | Blog is down | 1h 29m | Resolved |
| Sep 1, 2026 | Zendesk and Blog are down | 27h 52m | Resolved |
| Aug 31, 2026 | Landing and Website rendering are down | 42h 6m | Resolved |
| Aug 29, 2026 | Zendesk and Blog are down | 107h 34m | Resolved |
| Aug 27, 2026 | Blog is down | 146h 29m | Resolved |
| Aug 25, 2026 | Webmail is down | 192h 56m | Resolved |
| Aug 22, 2026 | Zendesk is down | 266h 21m | Resolved |
| Aug 20, 2026 | Blog was unavailable | 315h 23m | Resolved |
| Aug 17, 2026 | Test downtime | 192h 12m | Resolved |
| Aug 14, 2026 | Blog is being updated | 457h 33m | Resolved |
| Jul 24, 2026 | Short and brief periods of downtime due to high request rate | 765h 37m | Resolved |
| Jul 7, 2026 | Email degraded | 1177h 55m | Resolved |
| Jun 29, 2026 | DDoS attack | 1373h 40m | Resolved |
| Jun 15, 2026 | Scanning attack on multiple websites | 1694h 9m | Resolved |
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How to Read This JouwWeb internal Incident Log
Each row is an incident PulsAPI observed, not a summary written afterwards. The duration is wall-clock time between the first failing check and the first clean one, so it includes the window before JouwWeb internal acknowledged anything. Vendor post-mortems typically measure from acknowledgement, which is why their numbers are usually shorter.
Incidents still open have no duration yet and are listed as ongoing rather than being given a running total. The archive covers the last 365 days; anything older has aged out of the window rather than never having happened.
The longest single JouwWeb internal outage in this window ran 70d 14h, against a mean recovery of 20d 2h. If you depend on JouwWeb internal in a customer-facing path, the longest figure is the one to design around. The mean is what happens on a normal bad day; the maximum is what happens on the worst one.