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I run it in k8s myself and at the moment have a single worker since I don't have to scale up. Seems to me that a load balancer that tracks sessions / state would be just fine for this; there aren't a whole lot of long running jobs to worry about. What'm I missing? |
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I am running changedetection on k3s with 1 replica, and running playwright as a sidecar container in the main deployment. Would that be the recommended way to run it? I cant scale the replica count, otherwise the UI gets a bit lost. Not sure why.
How can I scale the workers (playwright fleet)? Any examples?
thanks for working on this
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