- Documentation
- Red Hat OpenShift Serverless
- Observability
- Developer metrics
- Developer metrics overview history bug_report picture_as_pdf
- About OpenShift Serverless
- Installing OpenShift Serverless
- Preparing to install OpenShift Serverless
- Installing the OpenShift Serverless Operator
- Installing the Knative CLI
- Installing Knative Serving
- Installing Knative Eventing
- Configuring Knative for Apache Kafka
- Configuring kube-rbac-proxy resources for Knative for Apache Kafka
- Configuring OpenShift Serverless Functions
- Installing the OpenShift Serverless Logic Operator
- Installing the OpenShift Serverless Logic Knative Workflow plugin
- OpenShift Serverless upgrades
- Functions
- Getting started with functions
- Creating functions
- Running functions locally
- Deploying functions
- Building functions
- Listing existing functions
- Invoking functions
- Deleting functions
- Building and deploying functions on the cluster
- Connecting an event source to a function
- Subscribing functions to CloudEvents
- Functions development reference guide
- Configuring functions
- Serving
- Getting started with Knative Serving
- Scalability and Performance
- Autoscaling
- Configuring OpenShift Serverless applications
- Debugging OpenShift Serverless applications
- Kourier and Istio ingresses
- Serving transport encryption
- Traffic splitting
- External and Ingress routing
- HTTP configuration
- Configuring access to Knative services
- Configuring kube-rbac-proxy resources for Serving
- Configuring burst and QPS for net-kourier
- Configuring custom domains for Knative services
- High availability configuration for Knative Serving
- Tuning serving configuration
- Configuring Queue Proxy resources
- Eventing
- Knative Eventing
- Event sources
- Event sinks
- Brokers
- Triggers
- Channels
- Subscriptions
- Event delivery
- Event discovery
- Tuning eventing configuration
- Configuring TLS encryption in Eventing
- Configuring kube-rbac-proxy resources for Eventing
- Using ContainerSource with OpenShift Service Mesh
- Using a sink binding with OpenShift Service Mesh
- Serverless Logic
- Knative CLI
- Observability
- Integrations
- Integrating Service Mesh with OpenShift Serverless
- Using Service Mesh to isolate network traffic with OpenShift Serverless
- Integrating OpenShift Serverless with the cost management service
- Integrating OpenShift Serverless with OpenShift Pipelines
- Using NVIDIA GPU resources with serverless applications
- Removing OpenShift Serverless
Serverless developer metrics overview
Metrics enable developers to monitor how Knative services are performing. You can use the OpenShift Container Platform monitoring stack to record and view health checks and metrics for your Knative services.
You can view different metrics for OpenShift Serverless by navigating to Dashboards in the web console Developer perspective.
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If Service Mesh is enabled with mTLS, metrics for Knative Serving are disabled by default because Service Mesh prevents Prometheus from scraping metrics. For information about resolving this issue, see Enabling Knative Serving metrics when using Service Mesh with mTLS. Scraping the metrics does not affect autoscaling of a Knative service, because scraping requests do not go through the activator. Consequently, no scraping takes place if no pods are running. |