Integrate the Dynatrace API API with the Python API

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

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Popular Dynatrace API and Python Actions#

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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Overview of Dynatrace API#

The Dynatrace API provides programmatic access to the vast array of monitoring, performance data, and management operations within the Dynatrace software intelligence platform. With this powerful API, you can automate your monitoring tasks, integrate with your CI/CD pipeline for performance testing, setup custom alerting mechanics, and pull valuable insights into application performance and infrastructure health. Leveraging the Dynatrace API in Pipedream workflows lets you connect and orchestrate these operations with hundreds of other services for enhanced DevOps automation.

Connect Dynatrace API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dynatrace_api: {
      type: "app",
      app: "dynatrace_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.dynatrace_api.$auth.environment_id}.live.dynatrace.com/api/v2/events`,
      headers: {
        "Accept": `application/json`,
        "Authorization": `Api-Token ${this.dynatrace_api.$auth.access_token}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

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}}

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