Connect Rootly and Databricks to Build Intelligent Automations

Choose a Trigger

Rootly

When this happens...

Choose an Action

Databricks

Automatically do this!

Enable Integrations or automations with these events of Rootly and Databricks

Enable Integrations or automations with these events of Rootly and Databricks

Actions

Create Incident

Create Incident

Creates Incident.

Create Pulse

Create Pulse

Creates a Pulse.

Create Alert

Create Alert

Creates a new alert

Create Cluster

Create Cluster

Creates a new Databricks cluster for processing tasks.

Create a Directory

Create a Directory

Create a directory by a path.

Delete a Job

Delete a Job

This action deletes a job by ID.

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Frequently Asked Questions

How do I start an integration between Rootly and Databricks?

To start, connect both your Rootly and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Rootly triggers actions in Databricks (or vice versa).

Can we customize how data from Rootly is recorded in Databricks?

Absolutely. You can customize how Rootly data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Rootly and Databricks?

The data sync between Rootly and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Rootly to Databricks?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Rootly and Databricks?

Yes, you can set conditional logic to control the flow of data between Rootly and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Rootly

About Rootly

Rootly is an incident management platform that helps teams efficiently respond to and resolve incidents. It offers features like automation, incident tracking, and real-time collaboration to improve the incident response process.

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Databricks

About Databricks

Databricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.

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