New Relic

Real-time performance insights into your software, infrastructure & customer experience

Integrate the New Relic API with the Python API

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

Run Python Code with Python API on New Alert from New Relic API
New Relic + Python
 
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Run Python Code with Python API on New Deployment from New Relic API
New Relic + Python
 
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New Alert from the New Relic API

Emit new event when a new alert is created.

 
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New Deployment from the New Relic API

Emit new event when a new deployment is created.

 
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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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New Deployment with the New Relic API

Create a new deployment mark. See the docs here

 
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Overview of New Relic

The New Relic API offers powerful capabilities for monitoring, alerting, and analyzing the performance of your web applications and infrastructure. By using the API within Pipedream, you can automate and orchestrate a vast array of operations that revolve around your application's health and data insights. This can range from triggering workflows based on New Relic alerts, to syncing performance data with other tools, or even automating responses to specific incidents.

Connect New Relic

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    new_relic: {
      type: "app",
      app: "new_relic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.newrelic.com/v2/users.json`,
      headers: {
        "X-Api-Key": `${this.new_relic.$auth.api_key}`,
      },
    })
  },
})

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

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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}}