Tradeshift Outage History
7 incidents recorded over the last 365 days, 7 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 Tradeshift Incident
| Date | Incident | Duration | Status |
|---|---|---|---|
| Oct 14, 2026 | Delayed processing of documentsThis incident has been resolved. | 1h 48m | Resolved |
| Aug 4, 2026 | Degraded performanceThis incident has been resolved. | 2h 45m | Resolved |
| Jun 25, 2026 | getgo.tradeshift.com downFor one hour between 10:00 and 11:00 UTC getgo.tradeshift.com was not accessible. | -40 min | Resolved |
| Jun 22, 2026 | Platform unavailableThis incident has been resolved. | 4h 11m | Resolved |
| Apr 28, 2026 | Degraded performanceThis incident has been resolved. | 7h 23m | Resolved |
| Apr 24, 2026 | Platform unavailableThis incident has been resolved. | 3h 7m | Resolved |
| Feb 6, 2026 | Platform instabilityThis incident has been resolved. | 2h 8m | Resolved |
Hear about the next one while it is open
Everything above is a record written after the fact. We can email you when the next Tradeshift incident opens instead, at the point where knowing still changes what you do.
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How to Read This Tradeshift 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 Tradeshift 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 Tradeshift outage in this window ran 7h 23m, against a mean recovery of 3h 34m. If you depend on Tradeshift 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.