Website uptime monitoring service.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Pulsetic API lets you monitor your websites and servers, sending notifications when downtime occurs or performance issues arise. With Pipedream, you can leverage this API to create powerful, automated workflows that respond to Pulsetic events in real-time. For instance, you can automate incident management by connecting Pulsetic to ticketing systems, trigger alerts in communication channels, or log performance data for analysis. Pipedream's zero-management data stores also allow you to keep track of incident history without needing a separate database.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pulsetic: {
type: "app",
app: "pulsetic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pulsetic.com/api/public/monitors`,
headers: {
"Authorization": `${this.pulsetic.$auth.api_token}`,
},
})
},
})
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}}