A company is migrating infrastructure for its massive multiplayer game to AWS. The game's application features a leaderboard where players can see rankings in real time. The leaderboard requires micro

Amazon RDS databases, even with read replicas, are typically not designed for the microsecond read and single-digit-millisecond write latencies required by real-time leaderboards, and failover times for writes may exceed the one-minute requirement.

While Amazon MemoryDB for Redis offers low-latency and persistence, for specific performance tuning, custom Redis modules, or potentially for cost-effectiveness at single-digit TB datasets, a self-managed Redis on EC2 might offer more control and a more optimized solution compared to a fully managed service.

Deploying multiple Redis nodes directly on Amazon EC2 instances across multiple Availability Zones allows for fine-grained control over Redis configuration, instance types, and storage, which can be crucial for achieving microsecond reads and single-digit-millisecond writes for single-digit terabytes of data. This approach offers flexibility in designing a robust, highly available architecture with custom replication and persistence mechanisms (RDB/AOF) to meet the sub-minute write availability requirement and integrate with an analytical data pipeline.