Job processing and scheduling is degraded affecting multiple Atlassian products

What to do

• Check whether you use Bitbucket Pipelines. Check your stack

  Paste a package.json, lockfile, Terraform or a list of domains at down.guide/stack to see every provider you depend on.

• Confirm your retries, queues and scheduled jobs caught up after the 4h 56m it lasted.

  Anything that failed between 2026-10-01 02:55 UTC and 2026-10-01 07:51 UTC may need a replay.

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Root cause

Our teams have identified the root cause of this incident and is now actively working on mitigating the issue.

Updates from Bitbucket 7

1. investigatingOct 1, 2026, 2:55 AM UTC

   Job processing and job scheduling is degraded, which is affecting scheduled and asynchronous work across several products, including Jira, Confluence and Bitbucket Cloud. Affected users may see delayed or missing job execution, including delayed email-to-ticket processing and schedules that do not run as expected.

   provider

2. identifiedOct 1, 2026, 3:47 AM UTC

   Our teams have identified the root cause of this incident and is now actively working on mitigating the issue. We will provide further updates within an hour or sooner if we have any significant progress to share.

   provider

3. identifiedOct 1, 2026, 4:03 AM UTC

   Our teams have taken corrective steps to mitigate the issue and are observing some improvements. We continue to monitor the situation and will take necessary actions until the incident is fully recovered.

   provider

4. identifiedOct 1, 2026, 5:00 AM UTC

   Our teams continue to work on recovery until the incident is fully resolved. We will provide further updates if we have significant progress to share. Along with impact to scheduled and asynchronous work across several products, we also identified SLA component in Jira Service Management is not appearing as expected.

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5. identifiedOct 1, 2026, 7:01 AM UTC

   Our teams continue to work on recovery until the incident is fully resolved. We will provide further updates if we have significant progress to share. There is also an impact to the new support tickets created in terms of missing SLA component, notifications which may be affecting the response times and backlog management of some tickets.

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6. resolvedOct 1, 2026, 7:51 AM UTC

   On 01st Oct 2026, between 01:00 UTC and 07:25 UTC, users may have seen missing job execution, including delayed email-to-ticket processing and schedules that do not run as expected. We have now implemented a fix and and services have been restored to normal operation for affected customers. The impact to support tickets with missing SLA component and delayed notifications have also confirmed recovery. Note: For Bitbucket customers, if there was any scheduled pipelines that did not run during the incident window, you may wait for the next scheduled execution or trigger them manually.

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7. postmortemOct 9, 2026, 6:24 PM UTC

   ### Summary On October 1, 2026, between 01:00 and 07:25 UTC, degraded job processing and scheduling impacted Atlassian products including Bitbucket Cloud, Confluence, Forge apps, Jira, and Jira Service Management in all commercial cloud regions. This caused delayed or missed background tasks, such as email-to-ticket processing and scheduled pipelines; interactive product use was not affected. The event was triggered when an unexpected volume of scheduled tasks became due simultaneously, overwhelming our shared job scheduling platform. Automated monitoring detected the incident within three minutes. Recovery began around 03:45 UTC as engineering scaled capacity and the platform worked through the backlog, with full resolution reached in 6 hours and 25 minutes. ### IMPACT Most scheduled tasks stopped running at 01:00 UTC and resumed from about 03:45 UTC. Most delayed work had caught up by about 06:00 UTC, and the remaining delays had cleared by 07:25 UTC. Across affected products: - Recurring scheduled tasks skipped or delayed runs due during the incident; skipped runs were not automatically re-run, and tasks resumed at their next scheduled time. - Most one-time scheduled tasks ran late; a small number may not have run. - Automation rules, including scheduled rules, ran normally, except as noted below. Bitbucket Cloud Scheduled pipelines due between 01:00 and about 03:50 UTC did not run. If a scheduled pipeline did not run during the incident, you can wait for the next scheduled execution or trigger it manually. Other pipeline runs were not affected. Confluence Some calendar event reminders due between 01:00 and about 03:45 UTC were not sent. Forge apps Scheduled triggers stopped at 01:00 UTC and resumed from about 04:00 UTC; missed invocations were not replayed. Goals Start of the month email reminders to update goals could be delayed. Jira and Jira Service Management Incoming emails stayed in their mailboxes and were processed automatically after recovery. Scheduled notifications, such as filter subscriptions, were delayed. In some service projects, automation rules and notifications triggered by SLAs or time in status ran late. SLA timer data remained intact. Atlassian Support Until 07:25 UTC, issues with our support tools may have slowed some of our responses. Based on our investigation to date, we have not identified any loss of work items, pages, repositories, or incoming emails. ### ROOT CAUSE Our shared job scheduling platform operates at high scale under normal conditions. One of the platform consumers scheduled an abnormally high volume of tasks to be executed at the same time on October 1st at 01:00 UTC. This order-of-magnitude surge exceeded our architectural and scaling limits, creating a processing backlog across dependent services. Engineering manually increased capacity to handle the abnormal load, enabling the service to process the backlog and return to normal operations. ### REMEDIAL ACTIONS PLAN & NEXT STEPS We know that delayed and missed work affects your productivity. We are prioritizing these actions to help reduce the likelihood and impact of similar incidents: - **Enhance workload isolation:** Implement fair scheduling guardrails so volume surges from a single source do not starve or delay tasks across other products. - **Strengthen surge controls:** Add operational capabilities to quickly throttle or pause scheduled workloads from specific sources during unexpected traffic spikes. - **Improve system scaling and recovery:** Enhance platform capacity and optimize scaling processes to handle extreme demand spikes and recover more rapidly. We apologize to customers whose services were impacted during this incident. Thanks, Atlassian

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Corrections

None so far.

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