We seem to be running into issues where our Airbyt...
# ask-ai
k
We seem to be running into issues where our Airbyte instances deployed using docker on VMs hosted on GCP are becoming partially non-responsive. The web interface runs, but clicking on a job in a connection has the progress wheel spin endlessly and result in a 502 error on the request (get_debug_info). After restarting the docker container, its all ok, but this is not sustainable. It almost feels like there is a caching error or problem
k
A message from kapa.ai
I understand that you're experiencing issues with your Airbyte instances deployed on GCP VMs using Docker. Based on the information extracts provided, I don't have enough details to pinpoint the exact cause of the issue. However, I can suggest a few steps to help you troubleshoot the problem: 1. Check the worker logs for any errors by running the following command:
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docker logs airbyte-worker | grep ERROR
If this command returns any output, please run:
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docker logs airbyte-worker > airbyte-worker.log
This command will create a log file in the current directory. You can share this log file on the Airbyte [Slack channel](https://slack.airbyte.com/) in the #issues section for further assistance. 2. If there are no errors in the logs, try restarting the Airbyte server and worker by running:
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docker restart airbyte-server airbyte-worker
Wait a few moments and try to access the interface again. If the issue persists, I recommend reaching out to the Airbyte community on [Slack](https://slack.airbyte.com/) for further assistance.