Kedify Agent and data collection
Install the Kedify Agent, KEDA and optional add-ons in your Kubernetes cluster with Helm. By default, the Agent connects outbound to Kedify’s hosted service, sending configured operational telemetry for the Dashboard and optional Insights. Autoscaling takes place in your cluster.
The Agent also handles in-cluster integrations such as HTTP Scaler autowiring. Optional capabilities, including KPA and Insights, have separate enablement settings.
Configuration
Section titled “Configuration”Use Helm values to choose the installed components and their settings. For fields that the Agent reconciles inside the cluster, see KedifyConfiguration.
Container Metrics for Resource Recommendations
Section titled “Container Metrics for Resource Recommendations”For optional Insights, the Agent can read container CPU and memory usage from the Kubernetes Metrics API and send it to Kedify for resource recommendations. You can select which namespaces are included; see Insights settings.
API Key
Section titled “API Key”For a connected installation, the Agent uses an API key to authenticate with Kedify’s hosted service. Obtain and store it through the Helm installation credential flow and your approved secret store. Do not put real keys in documentation or shared diagnostics. See access and data boundaries for connection and collection details.
For signal-to-workload inspection, use Workload diagnostics.