Connect Google Cloud Pub/Sub and Breezy HR to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Cloud Pub/Sub
Choose an Action
Automatically do this!
Create candidate
Ready to use Google Cloud Pub/Sub and Breezy HR automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Active Position
Trigger when a position in active.
New Candidate
Trigger when a new candidate is created.
Do thisActions
Action is the task that follows automatically within your Google Cloud Pub/Sub integrations.
Create PubSub Topic
Create a Pub/Sub topic to receive and route messages.
List Pub/Sub Topics
List all Pub/Sub topics
List Project Subscriptions
Retrieve project subscriptions
Create candidate
Create a new candidate.
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Frequently Asked Questions
To start, connect both your Google Cloud Pub/Sub and Breezy HR accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Cloud Pub/Sub triggers actions in Breezy HR (or vice versa).
Absolutely. You can customize how Google Cloud Pub/Sub data is recorded in Breezy HR. This includes choosing which data fields go into which fields of Breezy HR, setting up custom formats, and filtering out unwanted information.
The data sync between Google Cloud Pub/Sub and Breezy HR 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 Google Cloud Pub/Sub and Breezy HR. 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 Google Cloud Pub/Sub
Google Cloud Pub/Sub is a messaging service that allows you to send and receive messages between independent applications. It enables real-time messaging and event-driven architectures, making it ideal for building scalable and reliable systems.
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