Cloud monitoring as a service
Emit new event each time a record is added, updated, or deleted in an Airtable table. See the documentation
Emit new event for each new or modified record in a table
Create one or more records in a table by passing an array of objects containing field names and values as key/value pairs. See the documentation
The Datadog API, accessible through Pipedream, empowers you to programmatically interact with Datadog's monitoring and analytics platform. This enables developers to automate the retrieval of monitoring data, manage alert configurations, and synchronize service health information across systems. With Pipedream's serverless execution model, you can create intricate workflows that react to Datadog events or metrics, manipulate the data, and pass it on to other services or even Datadog itself for a cohesive operational ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datadog: {
type: "app",
app: "datadog",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.datadoghq.com/api/v1/user`,
headers: {
"DD-API-KEY": `${this.datadog.$auth.api_key}`,
"DD-APPLICATION-KEY": `${this.datadog.$auth.application_key}`,
},
})
},
})
Airtable (OAuth) API on Pipedream allows you to manipulate and leverage your Airtable data in a myriad of powerful ways. Sync data between Airtable and other apps, trigger workflows on updates, or process bulk data operations asynchronously. By using Airtable's structured databases with Pipedream's serverless platform, you can craft custom automation solutions, integrate with other services seamlessly, and streamline complex data processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airtable_oauth: {
type: "app",
app: "airtable_oauth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.airtable.com/v0/meta/whoami`,
headers: {
Authorization: `Bearer ${this.airtable_oauth.$auth.oauth_access_token}`,
},
})
},
})