Terraform

Terraform Cloud enables infrastructure automation for provisioning, compliance, and management of any cloud, datacenter, and service.

Integrate the Terraform API with the Python API

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

Run Python Code with Python API on New Run Createe from Terraform API
Terraform + Python
 
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New Run Createe from the Terraform API

Emit new event when a new run is created in Terraform.

 
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Create Run with the Terraform API

Creates a new run in Terraform. 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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List Runs with the Terraform API

Retrieves a list of runs in a workspace in Terraform. See the documentation

 
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Overview of Terraform

The Terraform API allows for the automation of infrastructure as code (IaC) management tasks. With Pipedream, you can orchestrate workflows that interact with Terraform to create, update, or destroy infrastructure programmatically. You can trigger workflows with webhooks, schedule them, or run them in response to events from other services. By integrating Terraform with Pipedream, you can streamline your DevOps processes, enforce compliance, and manage infrastructure changes with ease.

Connect Terraform

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    terraform: {
      type: "app",
      app: "terraform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.terraform.io/api/v2/account/details`,
      headers: {
        Authorization: `Bearer ${this.terraform.$auth.api_token}`,
        "Content-Type": `application/vnd.api+json`,
      },
    })
  },
})

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}}