frontend/src/container/OnboardingContainer/Modules/APM/Javascript/md-docs/express.md
Supported Versions
^4.0.0
Based on your application environment, you can choose the setup below to send traces to SigNoz Cloud.
From VMs, there are two ways to send data to SigNoz Cloud.
Step 1. Install OpenTelemetry packages
npm install --save @opentelemetry/api@^1.6.0
npm install --save @opentelemetry/sdk-node@^0.45.0
npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
Step 2. Create tracing.js file
This file will have your SigNoz cloud endpoint and service name configued as values of url and SERVICE_NAME respectively.
// tracing.js
'use strict'
const process = require('process');
const opentelemetry = require('@opentelemetry/sdk-node');
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
const { Resource } = require('@opentelemetry/resources');
const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
// do not set headers in exporterOptions, the OTel spec recommends setting headers through ENV variables
// https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/protocol/exporter.md#specifying-headers-via-environment-variables
const exporterOptions = {
url: 'https://ingest.{{REGION}}.signoz.cloud:443/v1/traces'
}
const traceExporter = new OTLPTraceExporter(exporterOptions);
const sdk = new opentelemetry.NodeSDK({
traceExporter,
instrumentations: [getNodeAutoInstrumentations()],
resource: new Resource({
[SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
})
});
// initialize the SDK and register with the OpenTelemetry API
// this enables the API to record telemetry
sdk.start()
// gracefully shut down the SDK on process exit
process.on('SIGTERM', () => {
sdk.shutdown()
.then(() => console.log('Tracing terminated'))
.catch((error) => console.log('Error terminating tracing', error))
.finally(() => process.exit(0));
});
Step 3. Run the application
Make sure you set the OTEL_EXPORTER_OTLP_HEADERS env as follows
OTEL_EXPORTER_OTLP_HEADERS="signoz-ingestion-key={{SIGNOZ_INGESTION_KEY}}" node -r ./tracing.js app.js
OTel Collector binary helps to collect logs, hostmetrics, resource and infra attributes. It is recommended to install Otel Collector binary to collect and send traces to SigNoz cloud. You can correlate signals and have rich contextual data through this way.
You can find instructions to install OTel Collector binary here in your VM. Once you are done setting up your OTel Collector binary, you can follow the below steps for instrumenting your Javascript application.
Step 1. Install OpenTelemetry packages
npm install --save @opentelemetry/api@^1.6.0
npm install --save @opentelemetry/sdk-node@^0.45.0
npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
Step 2. Create tracing.js file
This file will have your service name configued as value for SERVICE_NAME.
// tracing.js
'use strict'
const process = require('process');
const opentelemetry = require('@opentelemetry/sdk-node');
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
const { Resource } = require('@opentelemetry/resources');
const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
const exporterOptions = {
url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
}
const traceExporter = new OTLPTraceExporter(exporterOptions);
const sdk = new opentelemetry.NodeSDK({
traceExporter,
instrumentations: [getNodeAutoInstrumentations()],
resource: new Resource({
[SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
})
});
// initialize the SDK and register with the OpenTelemetry API
// this enables the API to record telemetry
sdk.start()
// gracefully shut down the SDK on process exit
process.on('SIGTERM', () => {
sdk.shutdown()
.then(() => console.log('Tracing terminated'))
.catch((error) => console.log('Error terminating tracing', error))
.finally(() => process.exit(0));
});
Step 3. Run the application
node -r ./tracing.js app.js
For Javascript application deployed on Kubernetes, you need to install OTel Collector agent in your k8s infra to collect and send traces to SigNoz Cloud. You can find the instructions to install OTel Collector agent here.
Once you have set up OTel Collector agent, you can proceed with OpenTelemetry Javascript instrumentation by following the below steps:
Step 1. Install OpenTelemetry packages
npm install --save @opentelemetry/api@^1.6.0
npm install --save @opentelemetry/sdk-node@^0.45.0
npm install --save @opentelemetry/auto-instrumentations-node@^0.39.4
npm install --save @opentelemetry/exporter-trace-otlp-http@^0.45.0
Step 2. Create tracing.js file
This file will have your service name configued as value for SERVICE_NAME.
// tracing.js
'use strict'
const process = require('process');
const opentelemetry = require('@opentelemetry/sdk-node');
const { getNodeAutoInstrumentations } = require('@opentelemetry/auto-instrumentations-node');
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
const { Resource } = require('@opentelemetry/resources');
const { SemanticResourceAttributes } = require('@opentelemetry/semantic-conventions');
const exporterOptions = {
url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
}
const traceExporter = new OTLPTraceExporter(exporterOptions);
const sdk = new opentelemetry.NodeSDK({
traceExporter,
instrumentations: [getNodeAutoInstrumentations()],
resource: new Resource({
[SemanticResourceAttributes.SERVICE_NAME]: '{{MYAPP}}'
})
});
// initialize the SDK and register with the OpenTelemetry API
// this enables the API to record telemetry
sdk.start()
// gracefully shut down the SDK on process exit
process.on('SIGTERM', () => {
sdk.shutdown()
.then(() => console.log('Tracing terminated'))
.catch((error) => console.log('Error terminating tracing', error))
.finally(() => process.exit(0));
});
Step 3. Run the application
node -r ./tracing.js app.js