
When this happens...
Get new issues
Retrieve recent test results

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Get issues created in the selected project since the last check.
Retrieve test results created since the last run for the selected project.
Action is the task that follows automatically within your TestMonitor integrations.
Create a new issue in a selected project with title, description, status, priority, assignee, tags, attachments, and custom fields.
Update an existing TestMonitor issue's title, description, status, priority, assignee, tags, linked test results, or custom fields.
List issues in a project with optional filters, sorting, related data, and pagination.
Retrieve a paginated list of projects; supports search by name, sorting, filtering, and including related relations.
View test results for a project with optional search, filters, sorting, and pagination.
Add a test result to a project, test case, and test run. Optionally set status, mark as draft, add notes, and attach files.

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To start, connect both your TestMonitor and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in TestMonitor triggers actions in Databricks (or vice versa).
Absolutely. You can customize how TestMonitor 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.
The data sync between TestMonitor and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between TestMonitor 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.
TestMonitor is a test management application that allows you to design, plan, and run user acceptance tests.
Learn MoreDatabricks 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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