Airbrake

Airbrake collects errors generated by other applications, and aggregates the results for review.

Integrate the Airbrake API with the Python API

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

Run Python Code with Python API on New Error Occurred from Airbrake API
Airbrake + Python
 
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New Error Occurred from the Airbrake API

Emit new event for each error occurred. See docs here

 
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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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Overview of Airbrake

With the Airbrake API, you can build integrations that send data to Airbrake
from your application. This can include:

  • Error monitoring
  • Application performance monitoring
  • Custom dashboards
  • Integrations with 3rd party services

Connect Airbrake

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    airbrake: {
      type: "app",
      app: "airbrake",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.airbrake.io/api/v4/projects`,
      params: {
        key: `${this.airbrake.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}