Spotlightr Outage History
5 incidents recorded over the last 365 days, 5 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 Spotlightr Incident
| Date | Incident | Duration | Status |
|---|---|---|---|
| Sep 16, 2026 | Vimeo Migration Slow DownDue to a considerable number of large Vimeo files being migrated over to Spotlightr, bandwidth consumption on server traffic has grown 300 X at times, potentially causing slow down of related migration services and most… | -5851 min | Resolved |
| Sep 16, 2026 | API Rate Limits Exceeded, Data Base OverloadSeveral large scale consumption resources have been abused by users who have since been sanctioned and rate limited moving forward. The consistent looping of request has caused consistent and incrementing load on… | -1558 min | Resolved |
| Jul 8, 2026 | Continual DDoS Attacks In Early JulyIncident reports have been submitted to relevant parent orgs of top IP clusters. | -11688 min | Resolved |
| Jul 4, 2026 | DDoS Attack BlackholeThis incident has been resolved. | 2h 1m | Resolved |
| Jun 30, 2026 | DDoS AttackThis incident has been resolved. | 5h 44m | Resolved |
Hear about the next one while it is open
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How to Read This Spotlightr 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 Spotlightr 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 Spotlightr outage in this window ran 5h 44m, against a mean recovery of 3h 53m. If you depend on Spotlightr 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.