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.

Popular GorillaStack and Python Actions#

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#

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#

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}}