Resources
A resource represents the entity producing telemetry as resource attributes. For example, a process producing telemetry that is running in a container on Kubernetes has a process name, a pod name, a namespace, and possibly a deployment name. All four of these attributes can be included in the resource.
In your observability backend, you can use resource information to better investigate interesting behavior. For example, if your trace or metrics data indicate latency in your system, you can narrow it down to a specific container, pod, or Kubernetes deployment.
Below you will find introductions on how to set up resource detection with the Node.js SDK.
Setup
Follow the instructions in the Getting Started - Node.js, so that you have
the files package.json, app.js and tracing.js.
Process & Environment Resource Detection
Out of the box, the Node.js SDK detects process and process runtime
resources and takes attributes from the environment variable
OTEL_RESOURCE_ATTRIBUTES. You can verify what it detects by turning on
diagnostic logging in tracing.js:
// For troubleshooting, set the log level to DiagLogLevel.DEBUG
diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG);
Run the application with some values set to OTEL_RESOURCE_ATTRIBUTES, e.g. we
set the host.name to identify the Host:
$ env OTEL_RESOURCE_ATTRIBUTES="host.name=localhost" \
node --require ./tracing.js app.js
@opentelemetry/api: Registered a global for diag v1.2.0.
...
Listening for requests on http://localhost:8080
EnvDetector found resource. Resource { attributes: { 'host.name': 'localhost' } }
ProcessDetector found resource. Resource {
attributes: {
'process.pid': 12345,
'process.executable.name': 'node',
'process.command': '/app.js',
'process.command_line': '/bin/node /app.js',
'process.runtime.version': '16.17.0',
'process.runtime.name': 'nodejs',
'process.runtime.description': 'Node.js'
}
}
...
Adding resources with environment variables
In the above example, the SDK detected the process and also added the
host.name=localhost attribute set via the environment variable automatically.
Below you will find instructions to get resources detected automatically for
you. However, you might run into the situation that no detector exists for the
resource you need. In that case, use the environment variable
OTEL_RESOURCE_ATTRIBUTES to inject whatever you need. Additionally, you can
use the environment variable OTEL_SERVICE_NAME to set value of the
service.name resource attribute. For example, the following script adds
Service, Host and OS resource attributes:
$ env OTEL_SERVICE_NAME="app.js" OTEL_RESOURCE_ATTRIBUTES="service.namespace=tutorial,service.version=1.0,service.instance.id=`uuidgen`,host.name=${HOSTNAME},host.type=`uname -m`,os.name=`uname -s`,os.version=`uname -r`" \
node --require ./tracing.js app.js
...
EnvDetector found resource. Resource {
attributes: {
'service.name': 'app.js',
'service.namespace': 'tutorial',
'service.version': '1.0',
'service.instance.id': '46D99F44-27AB-4006-9F57-3B7C9032827B',
'host.name': 'myhost',
'host.type': 'arm64',
'os.name': 'linux',
'os.version': '6.0'
}
}
...
Adding resources in code
Custom resources can also be configured in your code. The NodeSDK provides a
configuration option, where you can set them. For example you can update the
tracing.js like the following to have service.* attributes set:
...
const { Resource } = require('@opentelemetry/resources');
const { SEMRESATTRS_SERVICE_NAME, SEMRESATTRS_SERVICE_NAMESPACE, SEMRESATTRS_SERVICE_VERSION, SEMRESATTRS_SERVICE_INSTANCE_ID } = require('@opentelemetry/semantic-conventions');
...
const sdk = new opentelemetry.NodeSDK({
...
resource: new Resource({
[ SEMRESATTRS_SERVICE_NAME ]: "yourServiceName",
[ SEMRESATTRS_SERVICE_NAMESPACE ]: "yourNameSpace",
[ SEMRESATTRS_SERVICE_VERSION ]: "1.0",
[ SEMRESATTRS_SERVICE_INSTANCE_ID ]: "my-instance-id-1",
})
...
});
...
Note
If you set your resource attributes via environment variable and code, the values set via the environment variable take precedence.Container Resource Detection
Use the same setup (package.json, app.js and tracing.js with debugging
turned on) and Dockerfile with the following content in the same directory:
FROM node:latest
WORKDIR /usr/src/app
COPY package.json ./
RUN npm install
COPY . .
EXPOSE 8080
CMD [ "node", "--require", "./tracing.js", "app.js" ]
To make sure that you can stop your docker container with Ctrl + C
(SIGINT) add the following to the bottom of app.js:
process.on('SIGINT', function () {
process.exit();
});
To get the ID of your container detected automatically for you, install the following additional dependency:
npm install @opentelemetry/resource-detector-docker
Next, update your tracing.js like the following:
const opentelemetry = require('@opentelemetry/sdk-node');
const {
getNodeAutoInstrumentations,
} = require('@opentelemetry/auto-instrumentations-node');
const { diag, DiagConsoleLogger, DiagLogLevel } = require('@opentelemetry/api');
const {
dockerCGroupV1Detector,
} = require('@opentelemetry/resource-detector-docker');
// For troubleshooting, set the log level to DiagLogLevel.DEBUG
diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG);
const sdk = new opentelemetry.NodeSDK({
traceExporter: new opentelemetry.tracing.ConsoleSpanExporter(),
instrumentations: [getNodeAutoInstrumentations()],
resourceDetectors: [dockerCGroupV1Detector],
});
sdk.start();
Build your docker image:
docker build . -t nodejs-otel-getting-started
Run your docker container:
$ docker run --rm -p 8080:8080 nodejs-otel-getting-started
@opentelemetry/api: Registered a global for diag v1.2.0.
...
Listening for requests on http://localhost:8080
DockerCGroupV1Detector found resource. Resource {
attributes: {
'container.id': 'fffbeaf682f32ef86916f306ff9a7f88cc58048ab78f7de464da3c320ldb5c54'
}
}
The detector has extracted the container.id for you. However you might
recognize that in this example, the process attributes and the attributes set
via an environment variable are missing! To resolve this, when you set the
resourceDetectors list you also need to specify the envDetector and
processDetector detectors:
const opentelemetry = require('@opentelemetry/sdk-node');
const {
getNodeAutoInstrumentations,
} = require('@opentelemetry/auto-instrumentations-node');
const { diag, DiagConsoleLogger, DiagLogLevel } = require('@opentelemetry/api');
const {
dockerCGroupV1Detector,
} = require('@opentelemetry/resource-detector-docker');
const { envDetector, processDetector } = require('@opentelemetry/resources');
// For troubleshooting, set the log level to DiagLogLevel.DEBUG
diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG);
const sdk = new opentelemetry.NodeSDK({
traceExporter: new opentelemetry.tracing.ConsoleSpanExporter(),
instrumentations: [getNodeAutoInstrumentations()],
// Make sure to add all detectors you need here!
resourceDetectors: [envDetector, processDetector, dockerCGroupV1Detector],
});
sdk.start();
Rebuild your image and run your container once again:
docker run --rm -p 8080:8080 nodejs-otel-getting-started
@opentelemetry/api: Registered a global for diag v1.2.0.
...
Listening for requests on http://localhost:8080
EnvDetector found resource. Resource { attributes: {} }
ProcessDetector found resource. Resource {
attributes: {
'process.pid': 1,
'process.executable.name': 'node',
'process.command': '/usr/src/app/app.js',
'process.command_line': '/usr/local/bin/node /usr/src/app/app.js',
'process.runtime.version': '18.9.0',
'process.runtime.name': 'nodejs',
'process.runtime.description': 'Node.js'
}
}
DockerCGroupV1Detector found resource. Resource {
attributes: {
'container.id': '654d0670317b9a2d3fc70cbe021c80ea15339c4711fb8e8b3aa674143148d84e'
}
}
...
Next steps
There are more resource detectors you can add to your configuration, for example to get details about your Cloud environment or Deployment. You will find a list here.
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