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Autoscaling jobs on Kubernetes based on queue length
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In this stream I am going to build an autoscaled setup of a queue based work processing system.
- We are going to pick a simplistic queue engine (Redis / RabbitMQ)
- Write the dumbest worker that picks work items off the queue
- And set up autoscaling for it with KEDA
- We are going to pick a simplistic queue engine (Redis / RabbitMQ)
- Write the dumbest worker that picks work items off the queue
- And set up autoscaling for it with KEDA
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