Octopus Deploy
Reliable, repeatable, traceable deployments across clouds and on-prem.
Integrate the Octopus Deploy API with the Python API
Setup the Octopus Deploy API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Octopus Deploy and Python remarkably fast. Free for developers.
Popular Octopus Deploy and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Octopus Deploy#
The Octopus Deploy API offers the ability to automate, integrate, and extend your deployment processes. With Pipedream, you can harness this API to create customized workflows that trigger actions within Octopus Deploy or respond to events from other apps. Imagine setting up deployments, creating releases, or managing your infrastructure programmatically, helping you to streamline your DevOps practices.
Connect Octopus Deploy#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
octopus_deploy: {
type: "app",
app: "octopus_deploy",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.octopus_deploy.$auth.domain}.octopus.app/api/users`,
headers: {
"X-Octopus-ApiKey": `${this.octopus_deploy.$auth.api_key}`,
},
})
},
})
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}}