Integrate the Better Stack API with the Python API

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

Popular Better Stack and Python Actions#

Acknowledge Incident with the Better Stack API

Acknowledges an incident, marking it as acknowledged in Better Stack. 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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Create Incident with the Better Stack API

Initiates an incident that signals the team. See the documentation

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Resolve Incident with the Better Stack API

Brings a closure to an incident by resolving it with optional resolution details. See the documentation

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Overview of Better Stack#

The Better Stack API allows you to enhance your app's capabilities with powerful monitoring, logging, and analytics tools. By connecting to the API through Pipedream, you can create custom, serverless workflows that automate the ingestion, analysis, and response to your app's operational data. Leverage real-time insights, set up alerts, and integrate with various other services to maintain optimal performance and swiftly troubleshoot issues.

Connect Better Stack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    better_stack: {
      type: "app",
      app: "better_stack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://uptime.betterstack.com/api/v2/monitors`,
      headers: {
        Authorization: `Bearer ${this.better_stack.$auth.uptime_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}}