A company wants to migrate an application and an on-premises Apache Kafka server to AWS. The application processes incremental updates that an on-premises Oracle database sends to the Kafka server. The company wants to use the replatform migration strategy instead of the refactor strategy.
Which solution will meet these requirements with the LEAST management overhead?
The best solution to meet the company's requirements with the least management overhead is Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless. This service provides a fully managed experience for Apache Kafka, eliminating the need for managing and provisioning infrastructure, and it scales automatically based on workload demands. This aligns with the replatform migration strategy, which focuses on moving applications to the cloud without requiring significant changes to the application's architecture, while minimizing management efforts.
D is good
A. Amazon Kinesis Data Streams: This is a managed service for ingesting and processing real-time streaming data, but it requires separate configuration for message producers and consumers. Not ideal for minimal management overhead. B. Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned cluster: While MSK offers a familiar Kafka experience, it requires managing the underlying infrastructure like cluster scaling and configuration. Increases management overhead.
C. Amazon Kinesis Data Firehose: This service delivers real-time data to other AWS destinations, but it's not a direct replacement for Kafka and requires additional configuration for replicating data streams. D. Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless: This is the best fit as it provides a fully managed Kafka experience with automatic scaling and eliminates the need to manage servers or infrastructure. This aligns perfectly with the replatform strategy and minimizes management overhead.
D - becase this is lift-and-shift migration and serveless - because LEAST management overhead