Verifies downtime from multiple locations
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Uptime Robot API allows you to monitor the uptime of your websites and services from a central hub. On Pipedream, you can harness this API to create automated workflows that trigger on events like downtime, maintenance, or performance issues. This enables real-time alerts, auto-generated reports, and seamless integration with other tools for incident management or data analysis.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
uptime_robot: {
type: "app",
app: "uptime_robot",
}
},
async run({steps, $}) {
const data = {
"api_key": `${this.uptime_robot.$auth.api_key}`,
}
return await axios($, {
method: "post",
url: `https://api.uptimerobot.com/v2/getAlertContacts`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})
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}}