An ecommerce company is preparing to deploy a web application on AWS to ensure continuous service for customers. The architecture includes a web application that the company hosts on Amazon EC2 instances, a relational database in Amazon RDS, and static assets that the company stores in Amazon S3.
The company wants to design a robust and resilient architecture for the application.
A global company runs a data lake application in the us-east-1 Region and the eu-west-1 Region in an active-passive configuration. Application data is stored locally in Amazon S3 buckets in each AWS Region. The bucket in us-east-1 is the primary active bucket that handles all writes. The company needs to ensure that the application has Regional fault tolerance. The company also needs the storage layer to provide a highly available active-active capability for reads across Regions. The storage layer must provide low latency access through a single global endpoint.
A company has a large amount of data in an Amazon DynamoDB table. A large batch of data is appended to the table once each day. The company wants a solution that will make all the existing and future data in DynamoDB available for analytics on a long-term basis. Which solution meets these requirements with the LEAST operational overhead?
A solutions architect needs to implement a solution that can handle up to 5,000 messages per second. The solution must publish messages as events to multiple consumers. The messages are upto 500 KB in size. The message consumers need to have the ability to use multiple programming languages to consume the messages with minimal latency. The solution must retain published messages for more than 3 months. The solution must enforce strict ordering of the messages.
Which solution will meet these requirements?
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