Cluster Click here for latest

Guidance & requirements for running KEDA in your cluster


You are currently viewing v"2.4" of the documentation and it is not the latest. For the most recent documentation, kindly click here.



KEDA is designed, tested and supported to be run on any Kubernetes cluster that runs Kubernetes v1.16.0 or above.

Cluster Capacity

The KEDA runtime require the following resources in a production-ready setup:

Metrics ServerLimit: 1, Request: 100mLimit: 1000Mi, Request: 100Mi
OperatorLimit: 1, Request: 100mLimit: 1000Mi, Request: 100Mi

These are used by default when deploying through YAML.

💡 For more info on CPU and Memory resource units and their meaning, see this link.


KEDA requires to be accessible inside the cluster to be able to autoscale.

Here is an overview of the required ports that need to be accessible for KEDA to work:

443Used by Kubernetes API server to get metricsRequired for all platforms because it uses Control Plane → port 443 on the Service IP range communication. This is not applicable for Google Cloud.
6443Used by Kubernetes API server to get metricsOnly required for Google Cloud because it uses Control Plane → port 6443 on the Pod IP range for communication

High Availability

KEDA does not provide full support for high-availability due to upstream limitations.

Here is an overview of all KEDA deployments and the HA notes:

DeploymentSupport ReplicasNote
Metrics Server1You can run multiple replicas of our metrics sever, and it is recommended to add the --enable-aggregator-routing=true CLI flag to the kube-apiserver so that requests sent to our metrics servers are load balanced. However, you can only run one active metric server in a Kubernetes cluster serving which has to be the KEDA metric server.
Operator2While you can run multiple replicas of our operator, only one operator instance will be active. The rest will be standing by, which may reduce downtime during a failure. Multiple replicas will not improve the performance of KEDA, it could only reduce a downtime during a failover.This is only supported as of KEDA v2.6 if you are using our Helm chart.

HTTP Timeouts

Some scalers issue HTTP requests to external servers (i.e. cloud services). Each applicable scaler uses its own dedicated HTTP client with its own connection pool, and by default each client is set to time out any HTTP request after 3 seconds.

You can override this default by setting the KEDA_HTTP_DEFAULT_TIMEOUT environment variable to your desired timeout in milliseconds. For example, on Linux/Mac/Windows WSL2 operating systems, you’d use this command to set to 1 second:


And on Windows Powershell, you’d use this command:


All applicable scalers will use this timeout. Setting a per-scaler timeout is currently unsupported.

Kubernetes Client Parameters

The Kubernetes client config used within KEDA Metrics Adapter can be adjusted by passing the following command-line flags to the binary:

Adapter FlagClient Config SettingDefault ValueDescription
kube-api-qpscfg.QPS20.0Set the QPS rate for throttling requests sent to the apiserver
kube-api-burstcfg.Burst30Set the burst for throttling requests sent to the apiserver