Data Migration for Performance Testing and UAT on DynamoDB

Answer: A.

Option A is CORRECT because DynamoDB Point-in-Time Restore enables recovery of a DynamoDB table across AWS regions.

Further, it enables a full table to restore, as well restore of GSI's and LSI's.Restoring a DynamoDB table using Point-in-Time restore consumes no provisioned throughput.Data transfer charges between the regions are the only costs associated with this solution.

Option B is incorrect because this is not the optimal solution.It requires custom code associated with the Lambda function.

Further, there are additional costs associated with DynamoDB streams and Lambda function executions.

Option C is incorrect because this is not the optimal solution.It requires custom code associated with the AWS Glue job.Further, there are additional costs associated with the execution of the Glue job.

Option D is incorrect because this would enable a cross-region global table.

Thus, all the testing would be performed on the production table and data.

This is not the original requirement.

Reference:

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/PointInTimeRecovery_Howitworks.html https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/PointInTimeRecovery.Tutorial.html

The company based in North America wants to expand its operation to the European region, and they wish to perform some performance testing and UAT on the production like data of their DynamoDB-based backend system in the European regions. Therefore, they need to migrate their data to a new DynamoDB table in the European region.

There are different ways to achieve data migration from one DynamoDB table to another. Four possible options are provided as answers, and we will explain each one in detail:

A. Perform Point-in-Time Recovery of their current DynamoDB table into the new region:

This option involves creating a new DynamoDB table in the European region and performing a Point-in-Time Recovery (PITR) of the current DynamoDB table into the new region. PITR allows restoring a DynamoDB table to a specific point in time, enabling you to recover from accidental deletions, data corruption, and other issues. In this case, PITR is used to copy the data from the current table to the new table in the European region.

B. Enable DynamoDB Streams on the current DynamoDB table. Create a new DynamoDB table in the new region. Create a Lambda function to poll the current DynamoDB table stream and deliver batch records from streams to the new DynamoDB table:

This option involves enabling DynamoDB Streams on the current DynamoDB table, which captures a time-ordered sequence of item-level modifications in the table. A new DynamoDB table is created in the European region, and a Lambda function is created to poll the current DynamoDB table stream and deliver batch records from streams to the new DynamoDB table. The Lambda function can be configured to filter and transform the data if necessary.

C. Create a new DynamoDB table in the new region. Create an AWS Glue job to perform a data export from the current DynamoDB table and data import into the new DynamoDB table:

This option involves creating a new DynamoDB table in the European region and using AWS Glue to perform a data export from the current DynamoDB table and a data import into the new DynamoDB table. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to move data between data stores. This option may require more configuration effort, but it can be useful for more complex data migrations.

D. Enable DynamoDB Streams. Add a European region to the current DynamoDB table Global Tables setting:

This option involves enabling DynamoDB Streams and creating a Global Table with the current table and the new table in the European region. Global Tables replicate data to multiple regions, providing low-latency access to DynamoDB tables from anywhere in the world. With this option, data changes in the current table are automatically replicated to the new table in the European region.

Based on the provided options, Option B could be the optimal solution for this scenario as it allows the team to create a new DynamoDB table in the European region and migrate the data using DynamoDB Streams and a Lambda function, which can filter and transform the data if necessary. However, the best option may depend on specific requirements, such as the amount and complexity of the data, the desired level of automation, and the performance needs of the application.