Connect SquaredUp and AWS Lambda to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for SquaredUp
Choose an Action
Automatically do this!
- Request a new Action for AWS Lambda
Enable Integrations or automations with these events of SquaredUp and AWS Lambda
Enable Integrations or automations with these events of SquaredUp and AWS Lambda
Actions
Create User
Create Tenent User.
Delete User
Deleting the User using Email.
Search User
This action search user by email id.
Create Tenant Group
Create a new tenant group with a display name, description.
Delete Tenant Group
Delete an existing tenant group by specifying its unique group ID.
Update Tenant Group
Update the details of an existing tenant group, including its name, description, and associated users.
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Frequently Asked Questions
To start, connect both your SquaredUp and AWS Lambda accounts to viaSocket. Once connected, you can set up a workflow where an event in SquaredUp triggers actions in AWS Lambda (or vice versa).
Absolutely. You can customize how SquaredUp data is recorded in AWS Lambda. This includes choosing which data fields go into which fields of AWS Lambda, setting up custom formats, and filtering out unwanted information.
The data sync between SquaredUp and AWS Lambda 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 SquaredUp and AWS Lambda. 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 SquaredUp
SquaredUp provides engineering teams with end-to-end visibility of their business-critical applications, allowing them to monitor and manage the health, performance, and overall status of their systems.
Learn MoreAbout AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information.
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