GorillaStack

GorillaStack is a public cloud automation rules engine shaped by the operational, cost optimization and backup management needs of devops teams from around the world.

Integrate the GorillaStack API with the Python API

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

Deploy Template with the GorillaStack API

Deploy a template definition. 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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Invite User with the GorillaStack API

Invite new user to GorillaStack. See the documentation

 
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Overview of GorillaStack

The GorillaStack API enables automation and integration of cloud cost management and optimization tools. With GorillaStack, you can automate real-time actions, get insights into your cloud usage, and set up rules to control cloud costs. Using this API within Pipedream, you can create powerful serverless workflows that respond to various triggers and perform actions like shutting down unused resources, notifying teams about cost spikes, or adjusting resources based on load.

Connect GorillaStack

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gorillastack: {
      type: "app",
      app: "gorillastack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.gorillastack.com/v2/teams/${this.gorillastack.$auth.team_id}/users`,
      headers: {
        Authorization: `Bearer ${this.gorillastack.$auth.api_key}`,
        "Accept": `application/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}}