Connect AWS and Keka to Build Intelligent Automations

Choose a Trigger

AWS

When this happens...

Choose an Action

Keka

Automatically do this!

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Employee Added

New Employee Added

Triggered when a new employee is added to Keka.

Request a new Trigger for AWS

Do thisActions

Action is the task that follows automatically within your AWS integrations.

Upload File to S3

Upload File to S3

Upload a file to a specified S3 bucket.

Run Custom AWS Action

Run Custom AWS Action

Run a custom AWS action using provided inputs.

Deactivate Employee

Deactivate Employee

Create an exit request to record an employee’s resignation date, last working day, reason, and rehire eligibility.

List leave types

List leave types

List all leave types in your Keka account.

List All Employee Salary Details

List All Employee Salary Details

Search Employee Salary Details by Employee Number

List Employee Documents

List Employee Documents

Get documents for one or more employees by email or employee ID. Optionally filter by document type.

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Frequently Asked Questions

How do I start an integration between AWS and Keka?

To start, connect both your AWS and Keka accounts to viaSocket. Once connected, you can set up a workflow where an event in AWS triggers actions in Keka (or vice versa).

Can we customize how data from AWS is recorded in Keka?

Absolutely. You can customize how AWS data is recorded in Keka. This includes choosing which data fields go into which fields of Keka, setting up custom formats, and filtering out unwanted information.

How often does the data sync between AWS and Keka?

The data sync between AWS and Keka typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from AWS to Keka?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between AWS and Keka?

Yes, you can set conditional logic to control the flow of data between AWS and Keka. 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.

AWS

About AWS

AWS (Amazon Web Services) is a comprehensive cloud computing platform offering a wide range of services including computing power, storage options, and networking capabilities. It is designed to help businesses scale and grow by providing reliable and secure cloud solutions.

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Keka

About Keka

Keka is a comprehensive HR and payroll management platform designed to streamline and automate various human resource processes. It offers features such as employee management, attendance tracking, leave management, payroll processing, and performance evaluation, making it an essential tool for businesses looking to enhance their HR operations.

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