Datadog

Cloud monitoring as a service

Integrate the Datadog API with the Python API

Setup the Datadog API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Datadog and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Monitor Event (Instant) from Datadog API
Datadog + Python
 
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New Monitor Event (Instant) [Updated] from the Datadog API

Emit new events captured by a Datadog monitor

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Post Metric Data with the Datadog API

The metrics end-point allows you to post time-series data that can be graphed on Datadog's dashboards. See docs

 
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Connect Datadog

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    datadog: {
      type: "app",
      app: "datadog",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.datadoghq.com/api/v1/user`,
      headers: {
        "DD-API-KEY": `${this.datadog.$auth.api_key}`,
        "DD-APPLICATION-KEY": `${this.datadog.$auth.application_key}`,
      },
    })
  },
})

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}