Your issue with flows running sequentially rather than concurrently in a Kubernetes environment could be related to several factors:
1.
Worker Polling and Priority Queues: Prefect workers, including Kubernetes workers, poll work pools for new runs to execute. If you have a priority system in place, flows with higher priority will be executed first, potentially causing delays for lower-priority flows. Ensure that your work queues are configured correctly to allow concurrent execution where needed.
Learn more about work pools and priority queues here.
2.
Concurrency Limits: Concurrency limits within your work pools or queues might be restricting the number of flows that can run simultaneously. Check your configuration to ensure that concurrency limits are not set too low, which might be causing the observed delays.
3.
Resource Provisioning Delays: In Kubernetes, resource provisioning delays can occur if there are insufficient resources available in your cluster. This can lead to pods being scheduled only after resources become available, causing delays in flow execution. Monitoring your cluster's resource utilization and scaling capabilities might help mitigate this issue.
4.
Pod Watch Timeout: There is a known issue where flows marked as "CRASHED" due to pod startup delays may unexpectedly transition back to "RUNNING" once resources become available. This behavior might be causing some of the delays you observe. Consider adjusting the
pod_watch_timeout_seconds
or ensuring your cluster can provision resources promptly.
Read more about this issue here.
Review these areas in your setup to potentially identify and resolve the cause of the delays. If needed, you might also want to explore community forums or file an issue for more specific guidance.