Real-Time Operations and Incident Response
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Find the user on call for a specific schedule. See the docs here
The PagerDuty API offers a powerful interface to automate your digital operations management. By leveraging its capabilities on Pipedream, you can create workflows that respond to incidents, automate alerts, and synchronize incident data across various platforms. PagerDuty's API enables you to manage services, teams, and incidents, ensuring that your systems remain operational and that the right people are notified at the right time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pagerduty: {
type: "app",
app: "pagerduty",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pagerduty.com/users/me`,
headers: {
Authorization: `Bearer ${this.pagerduty.$auth.oauth_access_token}`,
"Accept": `application/vnd.pagerduty+json;version=2`,
},
})
},
})
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}}