Pingdom

SolarWinds Pingdom provides real user, uptime, page speed, and synthetic monitoring of web applications from outside the firewall.

Integrate the Pingdom API with the Python API

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

Run Python Code with Python API on New Alert from Pingdom API
Pingdom + Python
 
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Run Python Code with Python API on New Check Created from Pingdom API
Pingdom + Python
 
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New Alert from the Pingdom API

Emit new event when a new alert occurs. See the documentation

 
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New Check Created from the Pingdom API

Emit new event when a new check is added in Pingdom. See the documentation

 
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Create HTTP Check with the Pingdom API

Creates a new HTTP check in Pingdom. See the documentation

 
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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 Pingdom

The Pingdom API offers a suite of endpoints to monitor the uptime, performance, and interactions for websites and web applications. With this API, you can automate the retrieval of monitor statuses, alerts, and performance data. Integrating Pingdom with Pipedream allows developers to create custom workflows that can notify teams of incidents, track performance metrics, or even trigger actions based on website status changes.

Connect Pingdom

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pingdom: {
      type: "app",
      app: "pingdom",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pingdom.com/api/3.1/checks`,
      headers: {
        "Authorization": `Bearer ${this.pingdom.$auth.api_token}`,
      },
    })
  },
})

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}}