with PagerDuty and Big Data Cloud?
Retrieve time zone data for a specified location. See the documentation
Find the user on call for a specific schedule. See the docs here
Obtain a user's location data based on their IP address. See the documentation
Convert a user's coordinates to a human-readable address. See the documentation
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`,
},
})
},
})
The Big Data Cloud API provides a suite of RESTful APIs for IP geolocation and various other data services that can enrich your applications with valuable insights. On Pipedream, you can integrate these APIs into serverless workflows to automate data collection, analysis, and decision-making processes. Whether you're looking to enhance user experience with location-based content, validate user data, or perform any number of data-enrichment tasks, Big Data Cloud can be a go-to resource within your Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
big_data_cloud: {
type: "app",
app: "big_data_cloud",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-bdc.net/data/country-by-ip`,
params: {
key: `${this.big_data_cloud.$auth.api_key}`,
},
})
},
})