poshoogl.blogg.se - Auto code collector double down

Auto code collector double down how to#
Auto code collector double down Patch#

In Java, the auto-instrumentation is called Javaagent and it does bytecode manipulation that injects instrumentation points to specific code paths. The reported spans can be viewed via kubectl logs deployment.apps/otel-collector.Īuto-instrumentation is rather a complicated piece of software, the implementation depends on the language. The spans should be reported to the OpenTelemetry collector. Now we can port-forward the application HTTP port via kubectl port-forward deployment.apps/spring-petclinic 8080:8080 and explore the application in WEB browser. kubectl apply -f - <

Auto code collector double down Patch#

The collector will log spans to the standard output.Ĭreate the following deployment: apiVersion: apps/v1 kind: Deployment metadata: name: spring-petclinic spec: selector: matchLabels: app: spring-petclinic replicas: 1 template: metadata: labels: app: spring-petclinic annotations: /inject: "true" /inject-java: "true" spec: containers: - name: app image: ghcr.io/pavolloffay/spring-petclinic:latestĪnd apply the instrumentation annotation: kubectl patch deployment.apps/spring-petclinic -p ''Īfter the annotation is applied the spring-petclinic pod will restart and the newly started pod will be instrumented with OpenTelemetry Java auto-instrumentation. Now let’s deploy the Spring Petclinic Java application that will be instrumented and report data to an OpenTelemetry collector.

/inject-python: "true" - for PythonĪfter the annotation is applied the operator injects OpenTelemetry auto-instrumentation libraries into the application container and configures the instrumentation to export the data to an endpoint defined in the Instrumentation CR.

The instrumentation is enabled when the following annotation is applied to a workload or a namespace.

The instrumentation is enabled when an Instrumentation CR is present in the cluster and a namespace or workload is annotated: kubectl apply -f - <automatic: application is instrumented without any code modifications and recompilation of the application is not needed. by using OpenTelemetry API) or by using pre-built instrumentation libraries that are linked at compile time.

manual/explicit: source code is explicitly instrumented (e.g.

Auto code collector double down how to#

There are multiple approaches how to instrument and application:

Instrumentation is the most tedious process when deploying an observability solution.

In this article, I would like to introduce OpenTelemetry Operator’s new feature that significantly simplifies instrumenting workloads deployed on Kubernetes.