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with Databricks and New Relic?
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Popular Databricks and New Relic Actions#
Retrieve the output and metadata of a single task run. See the documentation
Run a job now and return the id of the triggered run. See the documentation
Overview of Databricks#
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
Connect Databricks#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
Overview of New Relic#
The New Relic API offers powerful capabilities for monitoring, alerting, and analyzing the performance of your web applications and infrastructure. By using the API within Pipedream, you can automate and orchestrate a vast array of operations that revolve around your application's health and data insights. This can range from triggering workflows based on New Relic alerts, to syncing performance data with other tools, or even automating responses to specific incidents.
Connect New Relic#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
new_relic: {
type: "app",
app: "new_relic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.newrelic.com/v2/users.json`,
headers: {
"X-Api-Key": `${this.new_relic.$auth.api_key}`,
},
})
},
})
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