dosubot[bot] commented on issue #8581:
URL: 
https://github.com/apache/incubator-devlake/issues/8581#issuecomment-3312229578

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   Hi @AldrinAJ! I'm [Dosu](https://go.dosu.dev/dosubot) and I’m helping the 
incubator-devlake team.
   
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   The error you're seeing (`context deadline exceeded (Client.Timeout exceeded 
while awaiting headers)`) means DevLake's API client isn't getting a response 
from Jenkins within the configured timeout window. This is common with Jenkins 
multi-branch pipelines, which can generate large API responses and slow down 
requests.
   
   DevLake's Jenkins integration uses a configurable timeout and retry 
mechanism for API calls. The default timeout is 120 seconds, and the default 
max retries is 3, but both can be increased via the `API_TIMEOUT` and 
`API_RETRY` configuration options. If Jenkins is slow or the dataset is large, 
you may need to set a much higher timeout value (for example, 5-10 minutes) and 
consider increasing retries further. You can set these in your environment or 
pipeline config—see the relevant code for details on how these are applied 
[`api_client.go`](https://github.com/apache/incubator-devlake/blob/2c15ad880dce830c6512fa58039527cbf4745b8b/backend/helpers/pluginhelper/api/api_client.go),
 
[`api_async_client.go`](https://github.com/apache/incubator-devlake/blob/2c15ad880dce830c6512fa58039527cbf4745b8b/backend/helpers/pluginhelper/api/api_async_client.go).
   
   The scheduler that runs subtasks uses a ticker to pace execution, and its 
tick interval can be tuned. If you have a very large number of subtasks, 
consider reducing the scope of each pipeline run or splitting large jobs into 
smaller batches to avoid overwhelming Jenkins and DevLake's worker pool 
[`worker_scheduler.go`](https://github.com/apache/incubator-devlake/blob/2c15ad880dce830c6512fa58039527cbf4745b8b/backend/helpers/pluginhelper/api/worker_scheduler.go).
   
   Also, make sure your Jenkins plugin scope-config is set up correctly, 
especially for multi-branch pipelines. Regex patterns for deployment stages 
(`deploymentPattern`, `productionPattern`) are required for proper data 
collection. Without these, some data may not be fetched as expected [`issue 
#8297`](https://github.com/apache/incubator-devlake/issues/8297).
   
   If you've already increased timeouts and retries but still see failures, try 
optimizing Jenkins server performance, reducing the number of branches/jobs 
fetched per run, or checking Jenkins logs for bottlenecks. There are no recent 
code changes or issues directly addressing this, so these configuration and 
operational adjustments are your best bet for now.
   
   
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