Scalr

Scalr is a remote state & operations backend for Terraform with full CLI support & many quality of life features

Integrate the Scalr API with the Python API

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

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.

 
Try it

Overview of Scalr

The Scalr API enables programmatic interaction with Scalr's infrastructure management and automation capabilities. On Pipedream, you can harness this API to create diverse workflows that automate cloud resource provisioning, management, and monitoring. These workflows can trigger on various events and integrate with other services to streamline your DevOps processes.

Connect Scalr

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    scalr: {
      type: "app",
      app: "scalr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://apidirectories.scalr.io/api/iacp/v3/users`,
      headers: {
        Authorization: `Bearer ${this.scalr.$auth.api_token}`,
        "Prefer": `profile=preview`,
        "Accept": `application/vnd.api+json`,
      },
    })
  },
})

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

1
2
3
4
5
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}}