Chapter 5. Using the Red Hat build of OpenTelemetry
You can set up and use the Red Hat build of OpenTelemetry to send traces to the OpenTelemetry Collector or the TempoStack.
5.1. Forwarding traces to a TempoStack by using the OpenTelemetry Collector
To configure forwarding traces to a TempoStack, you can deploy and configure the OpenTelemetry Collector. You can deploy the OpenTelemetry Collector in the deployment mode by using the specified processors, receivers, and exporters. For other modes, see the OpenTelemetry Collector documentation linked in Additional resources.
Prerequisites
- The Red Hat build of OpenTelemetry Operator is installed.
- The Tempo Operator is installed.
- A TempoStack is deployed on the cluster.
Procedure
Create a service account for the OpenTelemetry Collector.
Example ServiceAccount
apiVersion: v1 kind: ServiceAccount metadata: name: otel-collector-deployment
Create a cluster role for the service account.
Example ClusterRole
apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: otel-collector rules: 1 2 - apiGroups: ["", "config.openshift.io"] resources: ["pods", "namespaces", "infrastructures", "infrastructures/status"] verbs: ["get", "watch", "list"]
Bind the cluster role to the service account.
Example ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: name: otel-collector subjects: - kind: ServiceAccount name: otel-collector-deployment namespace: otel-collector-example roleRef: kind: ClusterRole name: otel-collector apiGroup: rbac.authorization.k8s.io
Create the YAML file to define the
OpenTelemetryCollector
custom resource (CR).Example OpenTelemetryCollector
apiVersion: opentelemetry.io/v1alpha1 kind: OpenTelemetryCollector metadata: name: otel spec: mode: deployment serviceAccount: otel-collector-deployment config: | receivers: jaeger: protocols: grpc: thrift_binary: thrift_compact: thrift_http: opencensus: otlp: protocols: grpc: http: zipkin: processors: batch: k8sattributes: memory_limiter: check_interval: 1s limit_percentage: 50 spike_limit_percentage: 30 resourcedetection: detectors: [openshift] exporters: otlp: endpoint: "tempo-simplest-distributor:4317" 1 tls: insecure: true service: pipelines: traces: receivers: [jaeger, opencensus, otlp, zipkin] 2 processors: [memory_limiter, k8sattributes, resourcedetection, batch] exporters: [otlp]
- 1
- The Collector exporter is configured to export OTLP and points to the Tempo distributor endpoint,
"tempo-simplest-distributor:4317"
in this example, which is already created. - 2
- The Collector is configured with a receiver for Jaeger traces, OpenCensus traces over the OpenCensus protocol, Zipkin traces over the Zipkin protocol, and OTLP traces over the GRPC protocol.
You can deploy tracegen
as a test:
apiVersion: batch/v1 kind: Job metadata: name: tracegen spec: template: spec: containers: - name: tracegen image: ghcr.io/open-telemetry/opentelemetry-collector-contrib/tracegen:latest command: - "./tracegen" args: - -otlp-endpoint=otel-collector:4317 - -otlp-insecure - -duration=30s - -workers=1 restartPolicy: Never backoffLimit: 4
Additional resources
5.2. Sending traces and metrics to the OpenTelemetry Collector
Sending traces and metrics to the OpenTelemetry Collector is possible with or without sidecar injection.
5.2.1. Sending traces and metrics to the OpenTelemetry Collector with sidecar injection
You can set up sending telemetry data to an OpenTelemetry Collector instance with sidecar injection.
The Red Hat build of OpenTelemetry Operator allows sidecar injection into deployment workloads and automatic configuration of your instrumentation to send telemetry data to the OpenTelemetry Collector.
Prerequisites
- The Red Hat OpenShift distributed tracing platform (Tempo) is installed, and a TempoStack instance is deployed.
You have access to the cluster through the web console or the OpenShift CLI (
oc
):-
You are logged in to the web console as a cluster administrator with the
cluster-admin
role. -
An active OpenShift CLI (
oc
) session by a cluster administrator with thecluster-admin
role. -
For Red Hat OpenShift Dedicated, you must have an account with the
dedicated-admin
role.
-
You are logged in to the web console as a cluster administrator with the
Procedure
Create a project for an OpenTelemetry Collector instance.
apiVersion: project.openshift.io/v1 kind: Project metadata: name: observability
Create a service account.
apiVersion: v1 kind: ServiceAccount metadata: name: otel-collector-sidecar namespace: observability
Grant the permissions to the service account for the
k8sattributes
andresourcedetection
processors.apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: otel-collector rules: - apiGroups: ["", "config.openshift.io"] resources: ["pods", "namespaces", "infrastructures", "infrastructures/status"] verbs: ["get", "watch", "list"] --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: name: otel-collector subjects: - kind: ServiceAccount name: otel-collector-sidecar namespace: observability roleRef: kind: ClusterRole name: otel-collector apiGroup: rbac.authorization.k8s.io
Deploy the OpenTelemetry Collector as a sidecar.
apiVersion: opentelemetry.io/v1alpha1 kind: OpenTelemetryCollector metadata: name: otel namespace: observability spec: serviceAccount: otel-collector-sidecar mode: sidecar config: | serviceAccount: otel-collector-sidecar receivers: otlp: protocols: grpc: http: processors: batch: memory_limiter: check_interval: 1s limit_percentage: 50 spike_limit_percentage: 30 resourcedetection: detectors: [openshift] timeout: 2s exporters: otlp: endpoint: "tempo-<example>-gateway:8090" 1 tls: insecure: true service: pipelines: traces: receivers: [jaeger] processors: [memory_limiter, resourcedetection, batch] exporters: [otlp]
- 1
- This points to the Gateway of the TempoStack instance deployed by using the
<example>
Tempo Operator.
-
Create your deployment using the
otel-collector-sidecar
service account. -
Add the
sidecar.opentelemetry.io/inject: "true"
annotation to yourDeployment
object. This will inject all the needed environment variables to send data from your workloads to the OpenTelemetry Collector instance.
5.2.2. Sending traces and metrics to the OpenTelemetry Collector without sidecar injection
You can set up sending telemetry data to an OpenTelemetry Collector instance without sidecar injection, which involves manually setting several environment variables.
Prerequisites
- The Red Hat OpenShift distributed tracing platform (Tempo) is installed, and a TempoStack instance is deployed.
You have access to the cluster through the web console or the OpenShift CLI (
oc
):-
You are logged in to the web console as a cluster administrator with the
cluster-admin
role. -
An active OpenShift CLI (
oc
) session by a cluster administrator with thecluster-admin
role. -
For Red Hat OpenShift Dedicated, you must have an account with the
dedicated-admin
role.
-
You are logged in to the web console as a cluster administrator with the
Procedure
Create a project for an OpenTelemetry Collector instance.
apiVersion: project.openshift.io/v1 kind: Project metadata: name: observability
Create a service account.
apiVersion: v1 kind: ServiceAccount metadata: name: otel-collector-deployment namespace: observability
Grant the permissions to the service account for the
k8sattributes
andresourcedetection
processors.apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: otel-collector rules: - apiGroups: ["", "config.openshift.io"] resources: ["pods", "namespaces", "infrastructures", "infrastructures/status"] verbs: ["get", "watch", "list"] --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: name: otel-collector subjects: - kind: ServiceAccount name: otel-collector namespace: observability roleRef: kind: ClusterRole name: otel-collector apiGroup: rbac.authorization.k8s.io
Deploy the OpenTelemetry Collector instance with the
OpenTelemetryCollector
custom resource.apiVersion: opentelemetry.io/v1alpha1 kind: OpenTelemetryCollector metadata: name: otel namespace: observability spec: mode: deployment serviceAccount: otel-collector-deployment config: | receivers: jaeger: protocols: grpc: thrift_binary: thrift_compact: thrift_http: opencensus: otlp: protocols: grpc: http: zipkin: processors: batch: k8sattributes: memory_limiter: check_interval: 1s limit_percentage: 50 spike_limit_percentage: 30 resourcedetection: detectors: [openshift] exporters: otlp: endpoint: "tempo-<example>-distributor:4317" 1 tls: insecure: true service: pipelines: traces: receivers: [jaeger, opencensus, otlp, zipkin] processors: [memory_limiter, k8sattributes, resourcedetection, batch] exporters: [otlp]
- 1
- This points to the Gateway of the TempoStack instance deployed by using the
<example>
Tempo Operator.
Set the environment variables in the container with your instrumented application.
Name Description Default value OTEL_SERVICE_NAME
Sets the value of the
service.name
resource attribute.""
OTEL_EXPORTER_OTLP_ENDPOINT
Base endpoint URL for any signal type with an optionally specified port number.
https://localhost:4317
OTEL_EXPORTER_OTLP_CERTIFICATE
Path to the certificate file for the TLS credentials of the gRPC client.
https://localhost:4317
OTEL_TRACES_SAMPLER
Sampler to be used for traces.
parentbased_always_on
OTEL_EXPORTER_OTLP_PROTOCOL
Transport protocol for the OTLP exporter.
grpc
OTEL_EXPORTER_OTLP_TIMEOUT
Maximum time interval for the OTLP exporter to wait for each batch export.
10s
OTEL_EXPORTER_OTLP_INSECURE
Disables client transport security for gRPC requests. An HTTPS schema overrides it.
False