Which solution will meet these requirements with the LEAST operational overhead?
Configure an Amazon CloudFront distribution with an Amazon S3 bucket as the origin. Store the player data in the S3 bucket.
Create Amazon EC2 instances in multiple AWS Regions. Store the player data on the EC2 instances. Configure Amazon Route 53 with geolocation records to direct users to the closest EC2 instance.
Deploy an Amazon ElastiCache for Redis duster. Store the player data in the ElastiCache cluster.
Deploy an Amazon ElastiCache for Memcached duster. Store the player data in the ElastiCache cluster.
Explanations:
While Amazon S3 provides durable storage, it is not designed for near real-time access or updates, making it unsuitable for fast player reviews and rankings. Additionally, CloudFront is a CDN that caches content, which may not work well for dynamic data that changes frequently.
Deploying EC2 instances in multiple regions can provide some level of performance but increases operational overhead due to the need to manage and scale instances. It also lacks the speed of in-memory databases for fast access to player data.
Amazon ElastiCache for Redis provides an in-memory data store that offers low-latency access to player data, supporting real-time reviews and rankings. Redis also supports persistence options, allowing data to be saved to disk in case of application restarts, minimizing operational overhead.
Amazon ElastiCache for Memcached offers low-latency access but does not provide data persistence. Memcached is designed for caching and does not store data on disk, making it unsuitable for retaining player data during application restarts.
From what I’ve seen, the answer is:
Deploy an Amazon ElastiCache for Redis duster. Store the player data in the ElastiCache cluster.