By now, you should be aware of all the important integration options available in Datadog for a variety of use cases; let's recap what we covered in this chapter specifically.
Many Datadog client libraries targeting popular programming languages are available, both officially maintained and at the community level. There are two types of client libraries – ones that provide a language wrapper to the Datadog REST API and libraries that provide support interfacing with Datadog via the StatsD-compatible DogStasD service. Also, there are community-level efforts to integrate with Datadog that are available on GitHub.
There are other types of Datadog client libraries that are not discussed here, such as APM and distributed tracing libraries, libraries that support serverless computing resources such as AWS Lambda, and client libraries that specifically target the log management feature of Datadog. The usage of these libraries is not different from how the core API...