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Scalable Analytics Architecture

Tinybird uses KEDA and its own real-time analytics platform to autoscale Kafka workloads. Learn how we made it work.
1Why we ditched Prometheus for autoscaling (and don't miss it)
Read how Tinybird slashed AWS costs by 20% —and up to 90% on CI— with Karpenter, Spot Instances, and real-time autoscaling. A deep dive into our setup, lessons learned, and tips you can steal.
1We cut AWS costs by 20% while scaling faster with EKS, Karpenter, and Spot Instances
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