Monitor and observe your SDK with Datadog.
Datadog supports different languages, frameworks, and platforms to retrieve metrics and traces.
Java SDK
Prerequisites
- Version 17.6 (or later) of the Java SDK
- Active Datadog account with an API key
Include the Datadog middleware in the Java SDK
The Java SDK integrates with Datadog through the commercetools-monitoring-datadog module.
After adding commercetools-monitoring-datadog
as a dependency in your application, add the Datadog middleware and serializer to your SDK using the .withTelemetryMiddleware()
and withSerializer()
methods.
ApiHttpClient apiHttpClient = ApiRootBuilder
.of()
.defaultClient(ServiceRegion.GCP_EUROPE_WEST1.getApiUrl())
.withTelemetryMiddleware(
new DatadogMiddleware(ApiClient.getDefaultApiClient())
)
.withSerializer(
new DatadogResponseSerializer(
ResponseSerializer.of(),
ApiClient.getDefaultApiClient()
)
)
.buildClient();
The commercetools-monitoring-datadog
module includes a telemetry middleware and a serializer that adds the following metrics:
Metric name | Description | Unit | Tags |
---|---|---|---|
commercetools.client.total_requests | Number of requests made by the SDK. | Count | http.response.status_code http.request.method server.address server.port |
commercetools.client.error_requests | Number of requests made by the SDK with an HTTP error response (status code between 400 and 599 ). | Count | http.response.status_code http.request.method server.address server.port |
commercetools.client.duration | Duration of the request to commercetools Composable Commerce. | Milliseconds | http.response.status_code http.request.method server.address server.port |
commercetools.json.serialization | Duration of the JSON serialization of the response from Composable Commerce. | Milliseconds | response.body.type |
commercetools.json.deserialization | Duration of the JSON deserialization of the request to Composable Commerce. | Milliseconds | request.body.type |
For an example of integrating Datadog with the Java SDK, refer to the Spring Boot Datadog example application.
TypeScript SDK
Prerequisites
- Version 3.0.0 (or later) of the @commercetools/ts-client
- Version 5.5.0 of the Datadog dd-trace package
- Active Datadog account with an API key
- Install the appropriate Datadog integration for your environment if you are using a non-containerized service or direct host integration
- You can run the script install.sh to install the Datadog agent on macOS
Include the Datadog middleware in the TypeScript SDK
The TypeScript SDK integrates Datadog using the @commercetools/ts-sdk-apm module.
Create a tracer.js
or tracer.ts
module in your project and add the following:
import tracer from 'dd-trace';
tracer.init();
export default tracer;
require('dd-trace').init();
After adding @commercetools/ts-sdk-apm
as a dependency, add the Datadog instrumentation to your app using the withTelemetryMiddleware()
middleware method.
import { ClientBuilder } from '@commercetools/ts-client';
import { createTelemetryMiddleware } from '@commercetools/ts-sdk-apm';
// Configure the telemetry options
const telemetryOptions = {
createTelemetryMiddleware,
userAgent: 'typescript-sdk-middleware-datadog',
tracer: async () => await import('dd-trace').init(),
customMetrics: {
datadog: true,
},
};
// Create the client with the withTelemetryMiddleware() middleware
const client = new ClientBuilder()
.withClientCredentialsFlow(...)
.withHttpMiddleware(...)
.withTelemetryMiddleware(telemetryOptions) // telemetry middleware
...
.build();
@commercetools/ts-sdk-apm
adds the Datadog instrumentation module to monitor request execution and response times along with counters for requests, errors, and other metrics.
You can add custom metrics in your application by including the Datadog tracing library module and then adding in your code some settings to define your custom metrics as shown in the following examples:
This example includes the metric to count all the error client responses:
agent.init().dogstatsd.increment(`ct_error_response_count`, 1, {
env: 'dev',
status_code: statusCode,
http_method: response.req.method,
success: false,
});
This example includes the metric to count all the client requests:
agent.dogstatsd.gauge(`ct_request_count`, count(), {
env: 'dev',
});
For more examples about integrating Datadog with the TypeScript SDK by using a host
or containerized
agent, see the Datadog example application. In the same folder, there are some examples about how to set up custom metrics like the ones mentioned here:
Metric name | Description | Unit | Tags |
---|---|---|---|
ct_success_response_count | Number of requests made by the SDK with an HTTP success response (status code between 200 and 399 ). | Count | http.environment http.status_code http.method.success<true> |
ct_error_response_count | Number of requests made by the SDK with an HTTP error response (status code between 400 and 599 ). | Count | http.environment http.status_code http.method.success<false> |
ct_request_count | Number of requests made to the commercetools API, representing the volume of interactions from your application. | Count | http.environment |
For more information about ct_success_response_count
and ct_error_response_count
custom metrics, see here. And for more information about ct_request_count
, see this file.
For more information about the various custom metrics that the Datadog Node.js agent can capture, see Datadog's documentation.
PHP SDK
Prerequisites
- Version 10.5 (or later) of the PHP SDK
Datadog Agent
If you want to monitor your application by using Datadog Agent, then there is no need to change the SDK. To install the Datadog Agent on your host and configure it to monitor your application, follow the steps specified in Datadog's documentation.
To test an application with the PHP SDK and Datadog, use the provided example application.
.NET SDK
Prerequisites
- Version 11.0 (or later) of the .NET SDK
Datadog Agent
If you want to monitor your application by using Datadog Agent, then there is no need to change the SDK. To install the Datadog Agent on your host and configure it to monitor your application, follow the steps specified in Datadog's documentation.
To test an application with the .NET SDK and Datadog, use the provided example application.