This Guidance shows how fully managed services such as AWS DataSync, Amazon EMR, and Kinesis allow you to break free from the complexities of database and data warehouse administration.

You can send logs directly from your application to CloudWatch using the CloudWatch Logs API, or send events using an AWS SDK and Amazon EventBridge.

Raw data is ingested into Amazon S3. Amazon S3 supports both server-side encryption and client-side encryption for data uploads.

You can encrypt metadata objects in your AWS Glue Data Catalog in addition to the data written to Amazon S3 and Amazon CloudWatch Logs by jobs, crawlers, and development endpoints.

The solution is modular and has the ability to scale based on the transactions. Serverless capabilities such as Kinesis and Lambda automatically scale throughput up or down based on demand.

Serverless architectures help to provision the exact resources that the workload needs. Lambda manages scaling automatically. You can optimize the individual Lambda functions used in your application to reduce latency and increase throughput.

This Guidance is designed to be fully optimized for cost, only using resources where necessary and only accessing data using the services appropriate for the business need.

All costs should align with the defined goals for pricing and clearly defined KPIs for managing batch, compared with near real time requirements to ensure the optimum value benefits.

By extensively using managed services and dynamic scaling, you minimize the environmental impact of the backend services.

Technologies that support data access and storage patterns should be monitored to ensure that assets such as data are stored in the optimum solution based on the read and write access patterns, paying close attention to the scaling of compute resources closely aligned to the demand.