@kapa.ai In a kubernetes deployment, what can cause a sync to fail with

Check exceeded the timeout.

?

Based on the knowledge sources provided, there are a few potential reasons why a sync might fail with a "Check exceeded the timeout" error in a Kubernetes deployment of Airbyte: 1. Pod Initialization Timeout: The init container in the job pod may time out if it takes too long to start up. This is particularly likely to happen when a new node is being provisioned to run the job pod. The default timeout for the init container is 1 minute, which may not be sufficient in some cases. [Job pod init container times out on EKS](https://github.com/airbytehq/airbyte/issues/22907) describes this issue. 2. Resource Constraints: If the Kubernetes cluster doesn't have enough resources to schedule and run the sync job pods quickly enough, it could lead to timeouts. This might be especially true if there are many failed syncs that are not releasing resources properly, as suggested in [Airbyte is not stable in k8s env](https://github.com/airbytehq/airbyte/issues/38853). 3. Network or API Issues: If the source or destination connectors need to make API calls or network requests that are slow or timing out, it could cause the overall check to exceed its timeout. This is hinted at in the [source-google-ads issue](https://github.com/airbytehq/airbyte/issues/49254), where large datasets or slow API responses were causing timeouts. 4. Heartbeat Timeouts: Airbyte uses a heartbeat mechanism to detect unresponsive sources. If a source doesn't emit any messages (records or state) within the configured timeout period (default is 3 hours), the sync can fail. This is explained in the [Airbyte Heartbeats documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#technical-details). 5. Destination Timeouts: Similar to source heartbeats, there's a timeout mechanism for destinations. If a call to the destination exceeds the configured timeout (default is 24 hours), the sync can fail. This is also described in the [Airbyte Heartbeats documentation](https://docs.airbyte.com/understanding-airbyte/heartbeats#technical-details). To address these issues, you might need to: - Increase the init container timeout - Ensure your Kubernetes cluster has sufficient resources - Optimize your connectors for large datasets or slow APIs - Adjust the heartbeat and destination timeout configurations If you're experiencing this issue and need more specific guidance, you may need to examine your Airbyte and Kubernetes logs in detail to pinpoint the exact cause of the timeout.