I’ve decided to switch from Kubernetes to Docker for the AI Bridge 2.0.5. It is much more stable and manageable.
I’m running into an issue though where if there are so many metadata devices created, that the recording server crashes due to some sort of SQL/error/storage issue. I have yet to confirm what is exactly the issue. But I can replicate it by adding a certain amount of meta data devices per camera and at a certain point the recording server just crashes. We have a very fast raid array attached to the server with over 1 TB of storage and 128Gbs of ram. So this isn’t associated directly with actual hardware specifications.
Yesterday (5/7/2026) we called Milestone support on this (case # MSC00088667), so there is history of the situation. The recording server was in cycle reboot until we started deleting metadata devices. We have close to 400 cameras, and each camera has a metadata device subscribed to a topic. I dumped some logs into AI - The best it could configure - “A camera driver attempted to push a video frame into a PipelineQueue<T> where either the queue itself or its target buffer was null.”
Not sure if the processing server was built that way, to handle only a certain amount of metadata devices or it is a bug, or some configuration we have to change.
Any help on this would be greatly appreciated.