KEDA Overview
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Kubernetes is a system for orchestrating containerized workloads and services across many nodes that provides tools for managing replication, scaling, and state. KEDA allows Kubernetes to automatically scale function apps in response to events from sources like message queues or serverless triggers by integrating with functions running as pods and scaling them based on metrics and triggers. KEDA is useful for running serverless functions on Kubernetes in environments like on-premises, at the edge, or alongside other Kubernetes workloads where full control over scaling is needed.
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KEDA Overview
- 1. Orchestrates containerized workloads and services. Provides a clean interface for managing distributed systems across many nodes, including replication, scaling, and state management. App App
- 3. Kubernetes cluster Function pods Horizontal pod autoscaler Kubernetes store KEDA Metrics adapter ScalerController CLI 1->n or n->1 0->1 or 1->0 Any events? Register + trigger and scaling definition External trigger source
- 4. When to consider KEDA for Functions Run functions on-premises / Intelligent edge Run functions alongside existing Kubernetes investments or requirements Run functions on a different platform or cloud Run functions with full control and management of scale and compute