Learn how to deploy AWS Lambda-based Lifecycle Actions after you configure the AWS connection in Reltio Console.

1. Create a new IAM Role to work with Lambda Functions
   This role must have access to S3 and CloudWatch logs, and be able to invoke any other Lambda Functions. The role requires the following permissions:

   • CloudWatchLogsFullAccess
   • AmazonS3FullAccess
   • LambdaFullAccess

   See also: LCA as AWS Lambda: Identity and Access Management
2. Create an AWS S3 Bucket
   1. Create a new bucket and folder in S3.
   2. Upload all the LCA JARs to the folder and provide the required access to the user account.
3. Create an AWS Lambda Function
   1. Open the AWS Lambda console from the AWS Management Console.
   2. Select the Create Functions button.

      

   3. Select Author from Scratch in the Create function window.

      

   4. In the Function name field, type the Lambda Name (for example, NameConcatenate).
   5. In the Runtime field, select Java 21.
   6. Use the default value for Architecture.
   7. In the Execution role area, select the existing IAM role that was created earlier and click Create Function.
   8. In the Lambda details page, click Upload From drop-down and select Amazon S3 location option.

      

   9. In the Upload a file from Amazon S3 dialog box, provide S3 path and click Save.

      

   10. In the Lambda details page, click Edit under the Runtime settings section.

       

   11. In the Handler field, type your main java class name. Ensure that you enter a fully qualified handler class (for example, com.reltio.cust.NameConcatenateClass), and click Save.

       

   12. To configure Environment Variables refer AWS document: AWS Lambda configuration environment variables.
   13. Click the Configuration tab, then choose General Configuration for Memory and Timeout settings.

       

4. Optional: Enable multithreading to enhance performance

   Enable multithreading for CPU-intensive processing to potentially improve performance and cost efficiency. Note that results may vary based on your specific workload.

   To enable multithreading, add the following environment variable:

   • THREAD_POOL_SIZE - Number of threads to be used.
   Recommendation for number of threads based on configured Lambda memory size:

   Lambda memory	THREAD_POOL_SIZE
   512MB (Default memory size)	1
   2048MB	2
   4096MB	3
   5376MB	4
   7168MB	5
   8960MB	6
   10240MB	6