Kubernetes Tracing OpenTelemetry auto-instrumentation

Setting up Tracing instrumentation for Java, Python, NodeJS, and .NET applications deployed in Kubernetes just got easier. In a few simple steps, with the OpenTelemetry-Operator, your application is automatically instrumented and your traces are sent to Sumo.

Installation

To enable the OpenTelemetry-Operator for the Sumo Logic Kubernetes Collection, you have to set opentelemetry-operator.enabled=true.

The OpenTelemetry Operator needs to know how to instrument containers. For this purpose, the Instrumentation resource must be created in the namespace where you want to use auto-instrumentation. Setting instrumentation.createDefaultInstrumentation to true and instrumentation.instrumentationNamespaces will help with that.

The value of the flag instrumentation.instrumentationNamespaces is backslash comma-separated namespaces list. For example: instrumentation.instrumentationNamespaces="ns1\,ns2\,ns3".

1. Update dependencies:

$ helm dependency update

2. Installation/upgrade enabling operator and setting namespaces to watch. You can find more details about installing an OT collector in Kubernetes environments here.

$ helm upgrade --install collection sumologic/sumologic \
--namespace sumologic \
--create-namespace \
--set sumologic.accessId="<SUMO_ACCESS_ID>" \
--set sumologic.accessKey="<SUMO_ACCESS_KEY>" \
--set sumologic.clusterName="<MY_CLUSTER_NAME>" \
--set sumologic.traces.enabled=true \
--set opentelemetry-operator.enabled=true \
--set instrumentation.createDefaultInstrumentation=true \
--set instrumentation.instrumentationNamespaces="ns1\,ns2"

During the installation process, OpenTelemetry Instrumentation custom resources with all settings are deployed in the provided namespaces.

note

Updating the Sumo Logic Kubernetes Collection to a version newer than 4.8.0 may cause issues with chart installation if there is a customized configuration of the OpenTelemetry Operator. Refer to the required changes in the parameters.

Auto-instrumentation injection

To enable injecting tracing auto-instrumentation, it is required to add an OpenTelemetry-specific annotation to the Deployment, Statefulset or Namespace.

List of annotations per instrumented language:

• Java auto-instrumentation - instrumentation.opentelemetry.io/inject-java: "true"
• Python auto-instrumentation - instrumentation.opentelemetry.io/inject-python: "true"
• NodeJS auto-instrumentation - instrumentation.opentelemetry.io/inject-nodejs: "true"
• .Net auto-instrumentation - instrumentation.opentelemetry.io/inject-dotnet: "true"

note

.Net auto-instrumentation is in Beta stage.

In the case of a Pod with multiple containers inside, you must specify additional annotation (instrumentation.opentelemetry.io/container-names), which will take a comma-separated list of the container names as its value. If annotation for multiple containers is not set, the instrumentation will be provided to the first container on the list.

Examples

Java auto-instrumentation for Namespace

apiVersion: v1
kind: Namespace
metadata:
 name: my-namespace
 labels:
   name: my-namespace
 annotations:
   instrumentation.opentelemetry.io/inject-java: "true"

Python auto-instrumentation for Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
 name: my-app
 namespace: my-namespace
spec:
 selector:
   matchLabels:
     app: my-app
 replicas: 1
 template:
   metadata:
     labels:
       app: my-app
     name: my-app
     annotations:
       instrumentation.opentelemetry.io/inject-python: "true"
   spec:
     containers:
       - image: my-image

NodeJS auto-instrumentation for Statefulset

apiVersion: apps/v1
kind: StatefulSet
metadata:
 name: my-app
 namespace: my-namespace
spec:
 selector:
   matchLabels:
     app: my-app
 replicas: 1
 template:
   metadata:
     labels:
       app: my-app
     name: my-app
     annotations:
       instrumentation.opentelemetry.io/inject-nodejs: "true"
   spec:
     containers:
       - image: my-image

Java auto-instrumentation for Deployment with multiple containers

apiVersion: apps/v1
kind: Deployment
metadata:
 name: my-app
 namespace: my-namespace
spec:
 selector:
   matchLabels:
     app: my-app
 replicas: 1
 template:
   metadata:
     labels:
       app: my-app
     name: my-app
     annotations:
       instrumentation.opentelemetry.io/inject-java: "true"
       instrumentation.opentelemetry.io/container-names: "my-container1,my-container2"
   spec:
     containers:
       - name: my-container1

Configuration

To have meaningful or intuitive data to search, you need to make some changes to the default configuration. You can make these customizations through additional environment variables in container definitions.

Environment variables:

• OTEL_SERVICE_NAME - if this parameter is not set, the default service name assumes the name of Deployment, Statefulset, or other PodSpec object name. This ensures their names represent some business logic, such as FinanceServiceCall. This will appear as a tracing service name in Sumo Logic. If you'd like to manually set a service name, add OTEL_SERVICE_NAME in env variables section of container configuration. For example:

  spec:
    containers:
    - image: my-image
      env:
        - name: OTEL_SERVICE_NAME
          value: FinanceServiceCall

• OTEL_RESOURCE_ATTRIBUTES - if this parameter is not set, the default application name assumes the name of Namespace. This will appear as a tracing application name in Sumo Logic. If you'd like to manually set the application name, add OTEL_RESOURCE_ATTRIBUTES application=name in the environment variables section of container configuration. You can add additional attributes here as comma separated key=value pairs (i.e., application=my-app,key=value):

  spec:
    containers:
    - image: my-image
      env:
        - name: OTEL_RESOURCE_ATTRIBUTES
          value: application=my-app,key=value

• Other parameters:

  • OTEL_PROPAGATORS. If not provided, the operator sets the default value tracecontext,baggage. Some additional context propagators can be enabled (b3 - common for service meshes, xray - used by AWS services).
  • OTEL_TRACES_SAMPLER. Default value: always_on. For details, see other sampling possibilities here.

Custom OpenTelemetry Operator Instrumentation resource

You might want to create a custom Instrumentation resource. For more info, see the Instrumentation object schema and example usage. In the case of defining an endpoint to export telemetry data from instrumented application, follow the pattern RELEASE_NAME-CHART_NAME-otelagent.RELEASE_NAMESPACE (e.g., collection-sumologic-otelagent.sumologic).

Make sure supported auto-instrumentation images are used:

• dotnet - ghcr.io/open-telemetry/opentelemetry-operator/autoinstrumentation-dotnet:0.4.0-beta.1
• java - ghcr.io/open-telemetry/opentelemetry-operator/autoinstrumentation-java:1.16.0
• nodejs - ghcr.io/open-telemetry/opentelemetry-operator/autoinstrumentation-nodejs:0.27.0
• python - ghcr.io/open-telemetry/opentelemetry-operator/autoinstrumentation-python:0.28b1