How to connect Google Vertex AI and PagerDuty
Create a New Scenario to Connect Google Vertex AI and PagerDuty
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or PagerDuty will be your first step. To do this, click "Choose an app," find Google Vertex AI or PagerDuty, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

Google Vertex AI
Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the PagerDuty Node
Next, click the plus (+) icon on the Google Vertex AI node, select PagerDuty from the list of available apps, and choose the action you need from the list of nodes within PagerDuty.

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Authenticate PagerDuty
Now, click the PagerDuty node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PagerDuty settings. Authentication allows you to use PagerDuty through Latenode.
Configure the Google Vertex AI and PagerDuty Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Vertex AI and PagerDuty Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, PagerDuty, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Vertex AI and PagerDuty integration works as expected. Depending on your setup, data should flow between Google Vertex AI and PagerDuty (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and PagerDuty
Google Vertex AI + PagerDuty + Slack: When a new or updated incident occurs in PagerDuty, Google Vertex AI analyzes a file (e.g., logs) to detect critical system errors. A summary of the analysis is then sent to a dedicated Slack channel.
PagerDuty + Google Vertex AI + Zendesk: When a new or updated incident occurs in PagerDuty, Google Vertex AI generates content to analyze related customer support tickets in Zendesk. The analysis can identify the root cause and suggest solutions by adding a comment to the ticket.
Google Vertex AI and PagerDuty integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About PagerDuty
Integrate PagerDuty alerts into Latenode to automate incident response. Create flows that trigger actions based on alert severity, like escalating to specific channels or running diagnostic scripts. Centralize incident data and automate follow-ups. Using Latenode gives you a customizable, scalable response system without complex coding.
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See how Latenode works
FAQ Google Vertex AI and PagerDuty
How can I connect my Google Vertex AI account to PagerDuty using Latenode?
To connect your Google Vertex AI account to PagerDuty on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and PagerDuty accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically escalate incidents based on AI sentiment analysis?
Yes, using Latenode! Trigger PagerDuty incidents based on sentiment analysis from Google Vertex AI, ensuring critical issues are addressed promptly and improving response times.
What types of tasks can I perform by integrating Google Vertex AI with PagerDuty?
Integrating Google Vertex AI with PagerDuty allows you to perform various tasks, including:
- Automatically create PagerDuty incidents from Google Vertex AI anomaly detection.
- Enrich PagerDuty incidents with AI-generated summaries and suggested solutions.
- Route incidents to specific teams based on AI-driven topic classification.
- Prioritize incidents using Google Vertex AI's predicted impact scores.
- Trigger Google Vertex AI retraining based on PagerDuty incident feedback.
Can I use JavaScript with Google Vertex AI in Latenode workflows?
Yes! Latenode allows you to add custom JavaScript code to your Google Vertex AI workflows, enabling complex logic and advanced data manipulation.
Are there any limitations to the Google Vertex AI and PagerDuty integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers between Google Vertex AI and PagerDuty may incur additional costs.
- Custom AI model deployments within Latenode require familiarity with Google Cloud.
- PagerDuty rate limits apply, potentially affecting high-volume incident creation.