Which solution meets these requirements?
Configure an accelerator in AWS Global Accelerator. Add a listener for the port that the application listens on and attach it to a Regional endpoint in each Region. Add the ALB as the endpoint.
Create an Amazon CloudFront distribution and specify the ALB as the origin server. Configure the cache behavior to use origin cache headers. Use AWS Lambda functions to optimize the traffic.
Create an Amazon CloudFront distribution and specify Amazon S3 as the origin server. Configure the cache behavior to use origin cache headers. Use AWS Lambda functions to optimize the traffic.
Configure an Amazon DynamoDB database to serve as the data store for the application. Create a DynamoDB Accelerator (DAX) cluster to act as the in- memory cache for DynamoDB hosting the application data.
Explanations:
AWS Global Accelerator improves the performance and availability of your application by routing traffic to the healthiest endpoint in each AWS Region. It uses anycast IP addresses and monitors the health of endpoints, which makes it ideal for reducing latency and directing traffic based on the health of the ALBs in each Region.
While CloudFront can distribute traffic, this option does not specifically monitor the health of application endpoints. Additionally, optimizing traffic with AWS Lambda functions would be inefficient for latency-sensitive applications like gaming.
CloudFront with S3 as the origin is primarily used for static content delivery. This is not suitable for dynamic gaming applications that require low latency and health checks for EC2 instances behind ALBs. Lambda functions cannot effectively optimize traffic to dynamic endpoints in this case.
DynamoDB and DAX are relevant for database performance optimization, but they do not address the latency concerns or health monitoring for application endpoints. This solution would not redirect traffic based on endpoint health or optimize application delivery.