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KEDA Tool Radar (Event-Driven Autoscaling)

KEDA is a CNCF project focused on event-driven autoscaling for Kubernetes workloads.

What the Tool Does

KEDA extends autoscaling beyond CPU and memory by connecting Kubernetes workloads to event sources such as queues, streams, and cloud services.

Why It Is Worth Watching

For asynchronous workloads, default HPA signals are often insufficient. KEDA can improve scaling behavior and cost efficiency where event depth or external signals better represent demand.

Maturity and Adoption Notes

KEDA is established with broad adoption in event-driven architectures. Teams should still tune scaler thresholds and cooldown behavior carefully to avoid oscillation.

Popularity and Momentum Signals

Signal Value
GitHub stars 9,963
Forks 1,338
Open issues 246
Watchers 86
Last push 2026-03-06
Momentum label Hot

Category

Autoscaling and event-driven workload operations.