kaxil commented on PR #75945: URL: https://github.com/apache/airflow/pull/75945#issuecomment-6644041521
>Dag runs and the UI end to end. My local machine could not run the full chart stably: Docker is capped at 8 CPUs (12 GB memory after raising it), and a single-node kind cluster running the migration job, API server, scheduler and several Dag processors at once saturated the CPU. The startup/liveness probes (each of which starts a full airflow process) timed out and kept restarting the API server and scheduler, even after relaxing the probe timeouts and dropping the log-groomer sidecars. The Dag processors themselves stayed up, so only they were checked (Deployments, PodDisruptionBudgets, args and logs). A run on a machine with more CPU would be welcome. Can't review if you haven't tested it e2e and show screenshot, gifs, videos of that -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
