How to connect PagerDuty and Google Vertex AI
Create a New Scenario to Connect PagerDuty and Google Vertex AI
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 PagerDuty, triggered by another scenario, or executed manually (for testing purposes). In most cases, PagerDuty or Google Vertex AI will be your first step. To do this, click "Choose an app," find PagerDuty or Google Vertex AI, and select the appropriate trigger to start the scenario.

Add the PagerDuty Node
Select the PagerDuty node from the app selection panel on the right.

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

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the PagerDuty and Google Vertex AI 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 PagerDuty and Google Vertex AI 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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Save and Activate the Scenario
After configuring PagerDuty, Google Vertex AI, 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 PagerDuty and Google Vertex AI integration works as expected. Depending on your setup, data should flow between PagerDuty and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect PagerDuty and Google Vertex AI
PagerDuty + Google Vertex AI + Slack: When a new or updated incident occurs in PagerDuty, a summary is sent to Google Vertex AI (Gemini) to generate a proposed solution. The incident details and the AI-generated solution are then posted to a dedicated Slack channel.
PagerDuty + Google Vertex AI + Jira: When a new or updated incident occurs in PagerDuty, its data is sent to Google Vertex AI (Gemini) for root cause analysis. A Jira ticket is then automatically created with the incident details and the AI-generated analysis.
PagerDuty and Google Vertex AI integration alternatives
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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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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See how Latenode works
FAQ PagerDuty and Google Vertex AI
How can I connect my PagerDuty account to Google Vertex AI using Latenode?
To connect your PagerDuty account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select PagerDuty and click on "Connect".
- Authenticate your PagerDuty and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize PagerDuty incidents with Vertex AI?
Yes, you can. Latenode lets you use Vertex AI to summarize new PagerDuty incidents. Get quick summaries, and improve response times. No coding needed.
What types of tasks can I perform by integrating PagerDuty with Google Vertex AI?
Integrating PagerDuty with Google Vertex AI allows you to perform various tasks, including:
- Automatically escalating urgent incidents based on AI-driven sentiment analysis.
- Generating custom incident reports using Vertex AI’s natural language capabilities.
- Predicting potential service disruptions based on historical incident data.
- Enriching incident tickets with relevant data from Vertex AI predictions.
- Creating automated workflows that learn from past incidents using AI.
How does Latenode handle PagerDuty authentication and data security?
Latenode uses secure OAuth to authenticate with PagerDuty, ensuring your credentials are never stored. Your data is encrypted in transit and at rest.
Are there any limitations to the PagerDuty and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex AI models in Vertex AI might require significant processing time.
- Rate limits on the PagerDuty API may affect high-volume incident processing.
- Custom AI model training requires a separate Google Vertex AI subscription.