The Datadog API is an HTTP REST API. The API uses resource-oriented URLs to call the API, uses status codes to indicate the success or failure of requests, ... Using the API · API Management · API and Application Keys · Metrics

Use the Datadog HTTP API to access the Datadog platform programmatically. You can use the API to send data to Datadog, build data visualizations, and manage ...

API Catalog provides a single view and entry point for exploring the performance, reliability, and ownership of all your API endpoints in one place.

The metrics endpoint allows you to: Post metrics data so it can be graphed on Datadog's dashboards; Query metrics from any time period ...

For a multi-logs request, the API processes all logs, truncates only logs larger than 1MB, and returns a 2xx. Datadog recommends sending your logs compressed.

The Datadog API allows you to get data in and out of Datadog. It uses resource-oriented URLs and status codes to indicate the success or failure of requests, ...

Use Datadog API endpoints to enrich the customer's experience by submitting data from your backend and pulling data from a user's Datadog account. Technology ...

This repository contains a Python API client for the Datadog API. Requirements Building and using the API client library requires Python 3.7+.

The Datadog API is an HTTP REST API. The API uses resource-oriented URLs to call the API, uses status codes to indicate the success or failure of requests, ...

Configure your API endpoints through the Datadog API. Create a new API. Create a new API from the OpenAPI specification given.