JIRA sends JSON to the Azure function manually but new issues trigger no logs. What aspects in Azure or JIRA should be checked to confirm payload receipt?
hey, seems your new issue type isnt hitting the right endpoint. check if azure func’s event routing and jira webhook filters are set correctly. also verify any permision token or endpoint url mismatches
Based on personal experience, it is essential to verify not only the basic webhook configuration in JIRA but also the specific triggers set up for new issues. There have been cases where issue-specific payload structures were slightly different from those used in manual testing. I recommend reviewing the logs in Azure’s monitoring dashboard to see if there are any discrepancies in the received payload format. Additionally, confirm that the webhooks are not being filtered out by any custom logic or network restrictions specific to certain issue types.
In my experience, it is helpful to examine not only the settings of JIRA’s webhook but also how the payload is being processed by Azure Functions. There have been instances where issue-specific triggers sent data in a slightly altered format compared to manual sends, leading to unexpected behavior in the function. It’s important to verify that the function’s binding configuration accurately reflects the payload structure in all cases. Additionally, testing with both manual and automated triggers in a staging environment can help isolate issues like authorization, timeout, or filtering settings that might be causing missed logs.
hey, try checking if azure function isnt getting new events due to a misconfigured filter or token issue. look at app insghts logs and ensure that jira’s auto triggers are properly set up. might be a minor payload format slip.
It is important to make sure that the automated JSON payload from JIRA is identical in structure to what you deploy manually for testing. I once encountered an issue where an extra field in the automated data prevented Azure Functions from processing the request correctly. Verifying that all header details, such as tokens or custom parameters, match between manual and automated triggers is also key. This consistency can help prevent silent failures when new issues are created and ensure that the function logs each event as expected.