@dotcom-reliability-kit/opentelemetry
Advanced tools
An OpenTelemetry client that's preconfigured for drop-in use in FT apps.
An OpenTelemetry client that's preconfigured for drop-in use in FT apps. This module is part of FT.com Reliability Kit.
[!TIP]
OpenTelemetry is an open source observability framework that supports sending metrics, traces, and logs to a large variety of backends via a shared protocol. We try to abstract some of these concepts away with this module, but understanding OpenTelemetry will help you get it set up.
Install @dotcom-reliability-kit/opentelemetry as a dependency:
npm install --save @dotcom-reliability-kit/opentelemetry
You can set up OpenTelemetry in a number of ways, each has pros and cons which we'll outline in the sections below.
--requireYou can completely avoid code changes by setting up OpenTelemetry using the Node.js --require command-line option:
node --require @dotcom-reliability-kit/opentelemetry/setup ./my-app.js
This will import our setup script before any of your code. OpenTelemetry will be configured with environment variables.
For environments where you can't modify the node command directly (e.g. AWS Lambda) you'll need to specify this using the NODE_OPTIONS environment variable set to --require @dotcom-reliability-kit/opentelemetry/setup.
| Pros | Cons |
|---|---|
|
|
require()If you can't use --require, e.g. because your tooling won't allow it, then you can include the setup script directly in your code:
import '@dotcom-reliability-kit/opentelemetry/setup';
// or
require('@dotcom-reliability-kit/opentelemetry/setup');
OpenTelemetry will be configured with environment variables.
[!WARNING]
This must be the firstimport/requirestatement in your application for OpenTelemetry to be set up correctly.
| Pros | Cons |
|---|---|
|
|
If you'd like to customise the OpenTelemetry config more and have control over what runs, you can include in your code:
import * as opentelemetry from '@dotcom-reliability-kit/opentelemetry';
// or
const opentelemetry = require('@dotcom-reliability-kit/opentelemetry');
Call the function, passing in configuration options:
[!WARNING]
This must be the first function called in your application for OpenTelemetry to be set up correctly (including before otherimport/requirestatements).
opentelemetry.setup({ /* ... */ });
| Pros | Cons |
|---|---|
|
|
This method returns any SDK instances created during setup. Calling this method a second time will return the same instances without rerunning setup.
Many metrics are taken care of by OpenTelemetry's auto-instrumentation (e.g. HTTP request data), but you sometimes need to send your own metrics. We expose the OpenTelemetry getMeter method (documentation) which allows you to do this.
In your code, load in the getMeter function:
import { getMeter } from '@dotcom-reliability-kit/opentelemetry';
// or
const { getMeter } = require('@dotcom-reliability-kit/opentelemetry');
You can now use it in the same way as the built-in OpenTelemetry equivalent. For more information, see the OpenTelemetry Meter documentation.
// Assumes that `app` is an Express application instance
const meter = getMeter('my-app');
const hitCounter = meter.createCounter('my-app.hits');
app.get('/', (request, response) => {
hitCounter.add(1);
response.send('Thanks for visiting');
});
To send metrics in production, you'll need an API Gateway key and the URL of the FT's official metrics collector. You can find this information in Tech Hub.
See configuration options for information on how to pass the keys and URL into your app via environment variables.
[!WARNING]
Tracing is not supported centrally yet and these instructions assume your team or group will be setting up their own collector.
To use this package in production you'll need a Collector that can receive traces over HTTP. This could be something you run (e.g. the AWS Distro for OpenTelemetry) or a third-party service.
Having traces collected centrally will give you a good view of how your production application is performing, allowing you to debug issues more effectively.
OpenTelemetry can generate a huge amount of data which, depending on where you send it, can become very expensive. In production environments where you don't have control over the traffic volume of your app, you'll likely need to sample your traces. This package automatically samples traces (at 5% by default).
We don't recommend trying to get a metrics Collector set up locally, but you should still import OpenTelemetry in local development. If the environment variables are not present then we'll instrument all your code but not send anything. This means that what you run in development is closer to what you run in production.
If you want to debug specific performance issues then setting up a local Collector can help you. You shouldn't be sending traces in local development to your production backend as this could make it harder to debug real production issues. You probably also don't want to sample traces in local development – you'll want to collect all traffic because the volume will be much lower.
To view traces locally, you'll need a backend for them to be sent to. In this example we'll be using Jaeger via Docker. You'll need Docker (or a compatible alternative) to be set up first.
Jaeger maintains a useful guide for this.
Once your backend is running you'll need to make some configuration changes.
You'll need to set the tracing endpoint to use Jaeger's tracing endpoint on port 4318 (OTLP/HTTP). E.g. http://localhost:4318/v1/traces.
You'll also need to disable sampling by configuring it to 100.
Assuming you're using one of the automated setups, environment variables could be set like this:
OPENTELEMETRY_TRACING_ENDPOINT=http://localhost:4318/v1/traces \
OPENTELEMETRY_TRACING_SAMPLE_PERCENTAGE=100 \
npm start
Run your application and perform some actions. Open up the Jaeger interface (http://localhost:16686). You should start to see traces appear.
Some details about how we're implementing OpenTelemetry. This is to help avoid any gotchas and to document some of the decisions we made:
We don't send traces for paths that we frequently poll or that will create unnecessary noise/cost. We ignore paths like /__gtg, /__health, and /favicon.ico. For the full list, visit lib/index.js.
We don't instrument file system operations because we don't find these useful. If you would like traces for file system operations then let us know and we can add a configuration.
It's less of our implementation detail and more a note on the OpenTelemetry Node.js SDK. Native ES Modules cannot be auto-instrumented without the --experimental-loader Node.js option. Documentation is here.
Depending on the way you set up OpenTelemetry, you can either configure it via environment variables or options passed into an object.
For automated setups (here and here) you'll need to use environment variables, e.g.
EXAMPLE=true npm start
For the manual setup, you'll need to use an options object, e.g.
opentelemetry.setup({
example: true
});
options.authorizationHeaderDeprecated. This will still work but has been replaced with options.tracing.authorizationHeader, which is now the preferred way to set this option.
options.logInternalsBoolean indicating whether to log internal OpenTelemetry warnings and errors. Defaults to false.
options.metricsAn object containing other metrics-specific configurations. Defaults to undefined which means that OpenTelemetry metrics will not be sent.
options.metrics.endpointA URL to send OpenTelemetry metrics to. E.g. http://localhost:4318/v1/metrics. Defaults to undefined which means that OpenTelemetry metrics will not be sent.
Environment variable: OPENTELEMETRY_METRICS_ENDPOINT
Option: metrics.endpoint (String)
options.metrics.apiGatewayKeySet the X-OTel-Key HTTP header in requests to the central API-Gateway-backed OpenTelemetry metrics collector. Defaults to undefined.
Environment variable: OPENTELEMETRY_API_GATEWAY_KEY
Option: metrics.apiGatewayKey (String)
options.tracingAn object containing other tracing-specific configurations. Defaults to undefined which means that OpenTelemetry traces will not be sent.
options.tracing.endpointA URL to send OpenTelemetry traces to. E.g. http://localhost:4318/v1/traces. Defaults to undefined which means that OpenTelemetry traces will not be sent.
Environment variable: OPENTELEMETRY_TRACING_ENDPOINT
Option: tracing.endpoint (String)
options.tracing.authorizationHeaderSet the Authorization HTTP header in requests to the OpenTelemetry tracing collector. Defaults to undefined.
Environment variable: OPENTELEMETRY_AUTHORIZATION_HEADER
Option: tracing.authorizationHeader (String)
options.tracing.samplePercentageThe percentage of traces to send to the exporter. Defaults to 5 which means that 5% of traces will be exported.
Environment variable: OPENTELEMETRY_TRACING_SAMPLE_PERCENTAGE
Option: tracing.samplePercentage (Number)
OTEL_ environment variablesOpenTelemetry itself can be configured through OTEL_-prefixed environment variables (documentation).
[!CAUTION] We strongly advise against using these. The power of this module is consistency and any application-specific changes should be considered. If you use these environment variables we won't offer support if things break.
Consult the Migration Guide if you're trying to migrate to a later major version of this package.
See the central contributing guide for Reliability Kit.
Licensed under the MIT license.
Copyright © 2024, The Financial Times Ltd.
FAQs
An OpenTelemetry client that's preconfigured for drop-in use in FT apps.
The npm package @dotcom-reliability-kit/opentelemetry receives a total of 1,359 weekly downloads. As such, @dotcom-reliability-kit/opentelemetry popularity was classified as popular.
We found that @dotcom-reliability-kit/opentelemetry demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Fluent Assertions is facing backlash after dropping the Apache license for a commercial model, leaving users blindsided and questioning contributor rights.
Research
Security News
Socket researchers uncover the risks of a malicious Python package targeting Discord developers.
Security News
The UK is proposing a bold ban on ransomware payments by public entities to disrupt cybercrime, protect critical services, and lead global cybersecurity efforts.