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A tracking agent for apollo GraphQL servers, for logging to Datadog. Forked from Apollo Optics agent, and uses datadog-metrics.

Unlike the original, this fork simply tracks request_times (in ms), with datadog tags specifying the graphql type, field and 'type.field'. There is no special error logging, or tracking of number of which fields are used etc.


Here are the steps to enable Graphql-dog in your app. See below for details on each step:

  • Install the NPM package in your app: npm install ??? --save
  • Import the package in your main js file: import GraphQLDog from 'graphql-dog';
  • Get an API key from the Optics web interface and configure the agent. Either:
    • Set the DATADOG_API_KEY environment variable to your API key
    • Set the datadog options using the datadogOpts field in GraphQLDog.configureAgent({ options });
  • Instrument your app. In any order:
    • Instrument your schema: GraphQLDog.instrumentSchema(executableSchema);
    • Add the middleware: expressServer.use(GraphQLDog.middleware());
    • Add to your GraphQL context object: context.datadogContext = GraphQLDog.context(req);

Version requirements


First, install the package

npm install ?? --save


Next, set up the agent in your main server file.

Import the package

var GraphQLDog = require('graphql-dog');

or in ES2015+

import GraphQLDog from 'graphql-dog';

[optional] Configure the Agent

GraphQLDog.configureAgent({ configOptions })

Normally you do not need to call this function -- just set the DATADOG_API_KEY environment variable. Call this function if you set the API key in code instead of through the environment variable, or if you need to set specific non-default values for other options. Call this before any calls to instrumentation functions below.

Options include:

  • apiKey: String. Your API key for the Datadog service. This defaults to the DATADOG_API_KEY environment variable, but can be overridden here.

  • normalizeQuery: Function(GraphQLResolveInfo)⇒String. Called to determine the query shape for for a GraphQL query. You shouldn't need to set this unless you are debugging.

  • reportIntervalMs: Number. How often to send reports in milliseconds. ..see datadog-metrics package for details.

Instrument your schema

Call instrumentSchema on the same executable schema object you pass to the graphql function from graphql-js:


You should only call this once per agent. If you have multiple or dynamic schemas, create a separate agent per schema (see below).

Add the middleware

Set up middleware:


Tell your server to run the Optics Agent middleware:


This must run before the handler that actually executes your GraphQL queries. For the most accurate timings, avoid inserting unnecessary middleware between the Optics Agent middleware and your GraphQL middleware.


Unlike Express (above) this has not been tested in this fork from optics-agent.



Unlike Express (above) this has not been tested in this fork of optics-agent - and indeed the original already carried a warning that Koa is not officially supported.

const schema = OpticsAgent.instrumentSchema(executableSchema);
  graphqlKoa(async ctx => {
    // create an optic context
    const datadogContext = GraphQLDog.context(ctx.request);
    // create a context for each request
    const context = { datadogContext };
    return {

Add a context to each graphql request

Inside your request handler, if you are calling graphql directly, add a new field to the context object sent to graphql:

{ datadogContext: GraphQLDog.context(req) }

If you are using apolloExpress, this will be a field on the context object on the ApolloOptions value that you return.

If you are using HAPI you must explicitly use the raw request object:

{ datadogContext: GraphQLDog.context(request.raw.req) }

Advanced Usage

(Not tested in this fork.) If you need to have more than one Agent per process, you can manually construct an Agent object instead of using the default global Agent. Call new GraphQLDog.Agent(options) to instantiate the object, and then call methods directly on the object instead of on GraphQLDog. Here is an example:

var GraphQLDog = require('graphql-dog');
var agent = new GraphQLDog.Agent({ apiKey: '1234' });


The agent is designed to allow your application to continue working, even if the agent is not configured properly.