Intro to KEDA

KEDA (Kubernetes Event-Driven Autoscaling) is a lightweight component that enables Kubernetes workloads to scale based on external events and metrics, beyond the traditional CPU and memory usage. KEDA acts as a Kubernetes Metrics Server and a custom controller, allowing applications to scale out or in based on events from sources like message queues, databases, and custom APIs.

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Read our introductory blog comparing KEDA and HPA for a deeper dive.

KEDA integrates seamlessly with Kubernetes and supports both standard Horizontal Pod Autoscalers and its own ScaledObjects and ScaledJobs. This flexibility

• Makes it ideal for event-driven architectures, burst workloads, and cost-efficient microservices.
• Empowers engineering teams to build reactive systems that respond precisely to real-time demand.