Based on the research, I can explain what's likely happening in your case. The

healthy=False

status in

WorkQueueStatusDetail

doesn't necessarily mean there's an issue with the worker itself, but rather indicates the work queue's ability to process new flow runs effectively. Here are the key points: 1. Normal Causes of `healthy=False`: - No worker has polled the queue in the last 60 seconds - The work queue has reached its concurrency limits - The work pool has reached its global concurrency limits 2. Concurrency Limits Impact: Your observation about concurrency limits affecting the health status makes sense because: - When global concurrency limits are reached, work queues may be unable to accept new work - This can trigger the

healthy=False

status even though the worker itself is running perfectly - It's a reflection of the queue's capacity to handle new work, not the worker's operational status 3. What You Can Check: - Verify the current concurrency settings at both the work pool and queue level - Monitor the actual number of running flow runs against these limits - Check if the queue is being polled regularly (should be every 60 seconds or less) The behavior you're seeing is likely by design - the health status is indicating that the queue might not be able to accept new work due to the concurrency limits, even though your worker is operating normally. This is a feature that helps prevent overloading the system when concurrency limits are in place. Would you like me to help you investigate your specific concurrency settings or provide guidance on how to adjust them for your use case?

Based on your specific situation, I can explain something interesting about how deployment concurrency limits interact with work queue health. This is a bit counterintuitive: 1. Queue Health vs. Deployment Limits: - The work queue's

healthy

status is primarily about the queue's ability to process new work - Even if other deployments have available capacity, if one deployment hits its concurrency limit, it can affect the queue's health status - This is because the health check considers the queue's overall ability to process work effectively 2. Why This Happens: - When a deployment hits its concurrency limit, the worker might need to spend more time checking and managing the queue's state - The queue health status is sensitive to these resource management activities - Even though other deployments have capacity, the worker's interaction with the queue might be affected by the deployment that's at its limit 3. What You Can Check: - Monitor the specific deployment's current running flow runs vs its concurrency limit - Check if the worker logs show any delays in polling or processing - Verify that the worker is still polling the queue regularly (should be every 60 seconds) This behavior might seem unexpected, but it's part of how Prefect manages resource allocation across deployments. The

healthy=False

status in this case might be more of an indication that the queue is operating under some constraints rather than a true "unhealthy" state. Would you like me to help you investigate specific aspects of your deployment's concurrency settings or suggest ways to optimize the queue health monitoring?

This is definitely not expected behavior. One deployment hitting its concurrency limit should not prevent the worker from picking up flows from other deployments that have available capacity. Here's what should happen: 1. Normal Behavior: - When Deployment A hits its concurrency limit, only Deployment A's additional flow runs should be queued - Deployments B, C, etc. should continue to have their flow runs picked up normally - Each deployment's concurrency limit should be managed independently 2. Troubleshooting Steps: - Check the worker logs to see if there are any error messages or warnings - Verify the work pool and work queue configurations - Confirm that the worker is still actively polling (you should see polling logs every 60 seconds) - Check if there are any global concurrency limits that might be affecting all deployments Could you share: 1. Are you seeing any specific error messages in the worker logs? 2. What type of work pool are you using? 3. Are there any global concurrency limits set at the work pool level? This might be a bug that needs to be reported, as deployments should operate independently when it comes to concurrency limits. The only exception would be if there's a global concurrency limit at the work pool level that's being hit, but even then, that should be clearly indicated in the logs.