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.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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.
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`,
},
})
},
})
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:
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}}