- Documentation
- Red Hat OpenShift Service on AWS
- Serverless
- Observability
- Tracing
- Tracing requests history bug_report picture_as_pdf
- About
- Introduction to ROSA
- Getting started
- Prepare your environment
- Installing, accessing, and deleting ROSA clusters
- Creating a ROSA cluster with STS using the default options
- Creating a ROSA cluster with STS using customizations
- Interactive cluster creation mode reference
- Creating an AWS PrivateLink cluster on ROSA
- Accessing a ROSA cluster
- Configuring identity providers using Red Hat OpenShift Cluster Manager
- Revoking access to a ROSA cluster
- Deleting a ROSA cluster
- Deploying ROSA without AWS STS
- AWS prerequisites for ROSA
- Understanding the ROSA deployment workflow
- Required AWS service quotas
- Configuring your AWS account
- Installing the ROSA CLI
- Creating a ROSA cluster without AWS STS
- Configuring a private cluster
- Deleting access to a ROSA cluster
- Deleting a ROSA cluster
- Command quick reference for creating clusters and users
- ROSA CLI
- Red Hat OpenShift Cluster Manager
- Cluster administration
- Security and compliance
- Authentication and authorization
- Upgrading
- CI/CD
- Add-on services
- Storage
- Registry
- Networking
- Application development
- Backing up and restoring applications
- Logging
- Release notes
- About Logging
- Installing Logging
- Accessing the service logs
- Viewing cluster logs in the AWS Console
- 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
- Service Mesh
- Service Mesh 2.x
- About OpenShift Service Mesh
- Service Mesh 2.x release notes
- Service Mesh architecture
- Service Mesh deployment models
- Service Mesh and Istio differences
- Preparing to install Service Mesh
- Installing the Operators
- Creating the ServiceMeshControlPlane
- Adding workloads to a service mesh
- Enabling sidecar injection
- Upgrading Service Mesh
- Managing users and profiles
- Security
- Traffic management
- Metrics, logs, and traces
- Performance and scalability
- Deploying to production
- Federation
- Extensions
- 3scale WebAssembly for 2.1
- 3scale Istio adapter for 2.0
- Troubleshooting Service Mesh
- Control plane configuration reference
- Kiali configuration reference
- Jaeger configuration reference
- Uninstalling Service Mesh
- Service Mesh 1.x
- Service Mesh 1.x release notes
- Service Mesh architecture
- Service Mesh and Istio differences
- Preparing to install Service Mesh
- Installing Service Mesh
- Security
- Traffic management
- Deploying applications on Service Mesh
- Data visualization and observability
- Custom resources
- 3scale Istio adapter for 1.x
- Removing Service Mesh
- Service Mesh 2.x
- 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
- Integrations
- Removing Serverless
- Serverless support
- Troubleshooting
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Tracing requests
Distributed tracing records the path of a request through the various services that make up an application. It is used to tie information about different units of work together, to understand a whole chain of events in a distributed transaction. The units of work might be executed in different processes or hosts.