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This is something I have toyed with and I believe it's possible using KEDA. You should be able to configure KEDA to read from your Celery broker (Redis or RabbitMQ) and scale your workers appropriately. You may need to create one deployment per queue to get full scalability, though. That will depend on the relative load of ad-hoc and scheduled queries. |
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Is there a way to use k8s expand capacity? While a large of users to use redash, the workers will stuck at queue statu.
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