What should a solutions architect do to improve the performance of the data tier?
Take a snapshot of the existing DB instance. Restore the snapshot with Multi-AZ enabled.
Migrate from Amazon RDS to Amazon OpenSearch Service with OpenSearch Dashboards.
Deploy Amazon DynamoDB Accelerator (DAX) in front of the existing DB instance. Modify the game to use DAX.
Deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance. Modify the game to use Redis.
Explanations:
Taking a snapshot and restoring it with Multi-AZ will provide high availability and data durability but will not improve read/write performance during peak periods. It only helps in disaster recovery and availability, not scalability.
Migrating to Amazon OpenSearch Service may provide better search capabilities and indexing but is not suitable for managing rapidly updating location data. OpenSearch is primarily designed for search use cases, not for real-time data retrieval and updates like location tracking.
While deploying Amazon DynamoDB Accelerator (DAX) can improve performance for DynamoDB, it cannot be used directly with Amazon RDS for PostgreSQL. DAX is specifically designed for DynamoDB to provide in-memory caching.
Deploying Amazon ElastiCache for Redis in front of the existing RDS instance will provide a high-performance in-memory data store that can cache frequently accessed data, thus significantly improving the read and write performance during peak usage. This approach supports rapid updates and retrieval, making it suitable for location tracking in a multiplayer game.
In my experience, the answer is:
Deploy an Amazon ElastiCache for Redis cluster in front of the existing DB instance. Modify the game to use Redis.