This happened with Workload failed, source: workload-monitor-claim

The knowledge sources do not explicitly mention a failure with the source

workload-monitor-claim

specifically. However, based on the related issues documented, this type of error is associated with Airbyte's workload orchestration system and is likely connected to a known deadlock scenario described in the GitHub issues. What Likely Happened The

workload-monitor-claim

source suggests the Workload Monitor (a background cron process) detected that a workload failed its claim check. Based on the related issue documentation, this can occur due to the following sequence: [airbyte services stuck] 1. Workloads get stuck in a

launched

status in the database. 2. The launcher tries to claim these workloads again, but the claim API returns

Claimed: false

because they're already in a

launched

state. 3. Because the claim fails, the

CHECK_STATUS

stage is skipped, so the launcher never discovers the pod has completed and never updates the workload status. 4. This creates a deadlock: workloads stay

launched

forever, claims keep failing, and the system becomes jammed. Known Workaround (for upgrade-related cases) If you recently upgraded to Airbyte 2.0, one documented cause is mismatched dataplane groups. You can check this by querying your Airbyte database: [airbyte services stuck]

SELECT * FROM public.dataplane_group;

And check workspace assignments:

SELECT id, organization_id, dataplane_group_id FROM public.workspace;

If jobs are being pushed to one dataplane group but the workload launcher is listening to another, updating the

dataplane_group_id

in the workspace table to the correct one resolved the issue for some users. Recommendation Since the knowledge sources don't contain full details specifically about

workload-monitor-claim

as a failure source, I'd recommend: • Checking your workload launcher logs for

Claimed: false

or stuck

launched

status entries. • Reviewing the open GitHub issue [jobs not removed when completed] for similar symptoms. • Reaching out to the Airbyte community or support with your full logs for a more precise diagnosis. 👍 0 button 👎 0 button ℹ️ Tip: Mention @kapa.ai in the thread for follow-ups or DM the app for 1-to-1 help.