[slyall]

I had a simple one on a Kubernetes cluster in AWS.

What happened is we'd have a queue processor that normally needed a couple of pods to handle events. Except that once a day another process would drop in 5 million requests into the queue.

So I just had a simple keda autoscaler based on the length of the queue. One pod for every 10,000 items in the queue with a minimum of 2 pods and a maximum of 50 pods.

It would scale up after the big queue dumps, chew threw the backlog and then scale back down again.

[John23832]

Keda was really good. I just wish that they had actually developed an http scaler. Having to use Knative scaling as an alternative is a pain.