Kubernetes-based Event Driven Autoscaling
KEDA allows for fine-grained autoscaling (including to/from zero) for event driven Kubernetes workloads. KEDA serves as a Kubernetes Metrics Server and allows users to define autoscaling rules using a dedicated Kubernetes custom resource definition.
KEDA can run on both the cloud and the edge, integrates natively with Kubernetes components such as the Horizontal Pod Autoscaler, and has no external dependencies.
We are a Cloud Native Computing Foundation (CNCF) graduated project.
Table of contents
- Getting started
- Documentation
- Community
- Adopters - Become a listed KEDA user!
- Governance & Policies
- Support
- Roadmap
- Releases
- Contributing
- QuickStart - RabbitMQ and Go
- QuickStart - Azure Functions and Queues
- QuickStart - Azure Functions and Kafka on Openshift 4
- QuickStart - Azure Storage Queue with ScaledJob
You can find several samples for various event sources here.