Mailjet Outage History

7 incidents recorded over the last 365 days, 6 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 Mailjet Incident

Mailjet incidents, newest first, with date, duration and status.
DateIncidentDurationStatus
Jun 5, 2026Support Ticket Creation FailuresThis incident has been resolved.31 minResolved
Apr 16, 2026Infrastructure MaintenanceThe scheduled maintenance has been completed.1h 0mScheduled
Oct 14, 2025Lag on Event APIThis incident has been resolved.14h 12mResolved
Oct 2, 2025Latency and login issues with Mailjet ApplicationThis incident has been resolved.1h 16mResolved
Oct 1, 2025Latency and login issues with Mailjet ApplicationThis incident has been resolved.16h 30mResolved
Sep 30, 2025Delays in emails processing and general app.mailjet.com login issuesThe incident has been resolved. Any missing statistics during the incident haven't been lost and will show up in the statistics page later today.7h 43mResolved
Sep 4, 2025Login issues with Mailjet Application and Intermittent Errors on REST APIThis incident has been resolved.5h 35mResolved

How to Read This Mailjet 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 Mailjet 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 Mailjet outage in this window ran 16h 30m, against a mean recovery of 6h 41m. If you depend on Mailjet 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.