Connect TestMonitor and Google Vertex AI to Build Intelligent Automations
Choose a Trigger
When this happens...
Fetch New Issues
New Test Result
Choose an Action
Automatically do this!
- Request a new Action for Google Vertex AI
Enable Integrations or automations with these events of TestMonitor and Google Vertex AI
Enable Integrations or automations with these events of TestMonitor and Google Vertex AI
Triggers
Fetch New Issues
Retrieve issues created in the selected project since the previous check.
New Test Result
Fetches test results created since the last check for the selected project in TestMonitor.
Actions
Create issue
Create a new TestMonitor issue in a selected project with title, description, status, priority, assignee, tags, linked test results, attachments, and custom fields.
Update issue
Update a TestMonitor issue's title, description, status, priority, assignee, tags, linked test results, or custom fields.
List issues
Retrieve issues from a selected project with optional search, filters, sorting, related data, and pagination.
List Projects
Retrieve a paginated list of projects; supports search by name, sorting, filtering, and including related relations.
List Test Results
Retrieve test results from a project with optional search, sorting, filters, and pagination.
Create test result
Add a test result to a selected project, test case, and test run in TestMonitor, with optional notes, status, draft setting, and file attachments.
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Frequently Asked Questions
To start, connect both your TestMonitor and Google Vertex AI accounts to viaSocket. Once connected, you can set up a workflow where an event in TestMonitor triggers actions in Google Vertex AI (or vice versa).
Absolutely. You can customize how TestMonitor data is recorded in Google Vertex AI. This includes choosing which data fields go into which fields of Google Vertex AI, setting up custom formats, and filtering out unwanted information.
The data sync between TestMonitor and Google Vertex AI 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 Google Vertex AI. 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.
About TestMonitor
TestMonitor is a test management application that allows you to design, plan, and run user acceptance tests.
Learn MoreAbout Google Vertex AI
Build, deploy, and scale machine learning (ML) models, with fully managed ML tools for any use case, with Vertex AI.
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