
KEDA | Kubernetes Event-driven Autoscaling
KEDA is a single-purpose and lightweight component that can be added into any Kubernetes cluster. KEDA works alongside standard Kubernetes components like the Horizontal Pod …
KEDA Concepts
What is KEDA? KEDA is a tool that helps Kubernetes scale applications based on real-world events. It was created by Microsoft and Red Hat. With KEDA, you can adjust the size of your …
KEDA | Getting Started
Welcome to the documentation for KEDA, the Kubernetes Event-driven Autoscaler. Use the navigation bar on the left to learn more about KEDA’s architecture and how to deploy and use …
Deploying KEDA
This command installs KEDA in a dedicated namespace (keda). You can customize the installation by passing additional configuration values with --set, allowing you to adjust …
Scaling Deployments, StatefulSets & Custom Resources - KEDA
With KEDA you can scale any workload defined as any Custom Resource (for example ArgoRollout resource). The scaling behaves the same way as scaling for arbitrary Kubernetes …
Scalers - KEDA
KEDA External Scaler that can obtain metrics from OTel collector and use them for autoscaling.
ScaledObject specification - KEDA
This is the interval to check each trigger on. By default, KEDA will check each trigger source on every ScaledObject every 30 seconds. When scaling from 0 to 1, the polling interval is …
AWS SQS Queue - KEDA
When identityOwner set to operator - the only requirement is that the KEDA operator has the correct IAM permissions on the SQS queue. Additional Authentication Parameters are not …
Prometheus - KEDA
Setup GCP Workload Identity on KEDA operator; Assign the Monitoring Viewer role (namely roles/monitoring.viewer) to the Google Service Account on Identity Access and Management …
Scaling Jobs - KEDA
This page describes the job scaling behavior of KEDA. See the Scaled Job specification for details on how to set the behaviors described below. Overview As an alternate to scaling event …