
When this happens...
New Group
New Application
New Tenants
New Connections

Automatically do this!
Enable Integrations or automations with these events of Authress and Google Cloud Bigtable
Trigger when a new group created.
Triggger when a new application is created.
Trigger when a new tenants created.
Trigger when a new connection is created.
Creates a role with permissions.
Specify tenant identity details for tenant tracking, separation, and user management.
Specify users to be included in a new group.
Specify application details for a new application that you own.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Authress and Google Cloud Bigtable accounts to viaSocket. Once connected, you can set up a workflow where an event in Authress triggers actions in Google Cloud Bigtable (or vice versa).
Absolutely. You can customize how Authress data is recorded in Google Cloud Bigtable. This includes choosing which data fields go into which fields of Google Cloud Bigtable, setting up custom formats, and filtering out unwanted information.
The data sync between Authress and Google Cloud Bigtable 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 Authress and Google Cloud Bigtable. 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.
Authress is a powerful authentication and authorization platform that provides secure access management solutions for applications. It simplifies the process of managing user identities and permissions, ensuring that only authorized users can access specific resources.
Learn MoreGoogle Cloud Bigtable is a fully managed, scalable NoSQL database service designed for large analytical and operational workloads. It is ideal for applications that require high throughput and low latency, such as IoT, user analytics, and financial data analysis.
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