- Documentation
- OpenShift Dedicated
- Serverless
- Observability
- Administrator metrics
- Administrator metrics overview history bug_report picture_as_pdf
- About
- Introduction to OpenShift Dedicated
- Red Hat OpenShift Cluster Manager
- Planning your environment
- Getting started
- Installing, accessing, and deleting OpenShift Dedicated clusters
- Cluster administration
- Security and compliance
- Authentication and authorization
- Upgrading
- CI/CD
- Add-on services
- Storage
- Registry
- Networking
- Applications
-
Logging
- Release notes
- About Logging
- Installing Logging
- Accessing the service logs
-
Configuring your Logging deployment
- About the Cluster Logging custom resource
- Configuring the logging collector
- Configuring the log store
- Configuring the log visualizer
- Configuring Logging storage
- Configuring CPU and memory limits for Logging components
- Using tolerations to control Logging pod placement
- Moving the Logging resources with node selectors
- Maintenance and support
- Logging with the LokiStack
- Viewing logs for a specific resource
- Viewing cluster logs in Kibana
- Forwarding logs to third party systems
- Enabling JSON logging
- Collecting and storing Kubernetes events
- Updating Logging
- Viewing cluster dashboards
- Troubleshooting Logging
- Uninstalling Logging
- Exported fields
- Monitoring user-defined projects
-
Serverless
- Release notes
- About Serverless
- Installing Serverless
- Knative Serving
-
Eventing
- Knative Eventing
- Event sources
- Event sinks
- Brokers
-
Triggers
- Triggers overview
- Creating triggers from the web console
- Creating triggers from the command line
- Creating a trigger from the Administrator perspective
- List triggers from the command line
- Describe triggers from the command line
- Connecting a trigger to a sink
- Filtering triggers from the command line
- Updating triggers from the command line
- Deleting triggers from the command line
- Channels
- Subscriptions
- Event discovery
- Tuning eventing configuration
- kn-event plugin
-
Functions
- Setting up OpenShift Serverless Functions
- Getting started with functions
- Developing Quarkus functions
- Developing Node.js functions
- Developing TypeScript functions
- Using functions with Knative Eventing
- Function project configuration in func.yaml
- Accessing secrets and config maps from functions
- Adding annotations to functions
- Functions development reference guide
- Knative CLI
- Administer
- Security
- Observability
- Removing Serverless
- Serverless support
- Troubleshooting
Serverless administrator metrics
Metrics enable cluster administrators to monitor how OpenShift Serverless cluster components and workloads are performing.
You can view different metrics for OpenShift Serverless by navigating to Dashboards in the OpenShift Dedicated web console Administrator perspective.
Prerequisites
-
You have access to an OpenShift Dedicated account with cluster or dedicated administrator access.
-
You have access to the Administrator perspective in the OpenShift Dedicated web console.
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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. 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. |