Configure a Distributed In-Memory Data Store with Amazon ElastiCache for Redis

Correct Answer: D.

Option A is incorrect because ElastiCache for Redis with cluster mode enabled can enhance reliability and availability.

But the network throughput is not improved.

Option B is incorrect because the R4 node type is Memory-optimized.

It may not help to improve the network performance at all.

Option C is incorrect because Multi-threading is only supported in ElastiCache Memcached instead of Redis.

For details, please check https://docs.aws.amazon.com/AmazonElastiCache/latest/mem-ug/SelectEngine.html.

Option D is CORRECT because enhanced I/O handling in ElastiCache Redis can boost the Redis performance with very low latencies.

This feature is available in all AWS regions.

References:

https://aws.amazon.com/blogs/database/boosting-application-performance-and-reducing-costs-with-amazon-elasticache-for-redis/, https://aws.amazon.com/about-aws/whats-new/2019/03/amazon-elasticache-for-redis-503-enhances-io-handling-to-boost-performance/?nc1=h_ls, https://docs.aws.amazon.com/AmazonElastiCache/latest/mem-ug/SelectEngine.html

To achieve high performance with low network latency in a distributed in-memory data store in Amazon ElastiCache for Redis, the following options can be considered:

A. Cluster Mode enabled in the ElastiCache cluster: Enabling Cluster Mode in the ElastiCache cluster can help to achieve high performance with low network latency. Cluster Mode is a feature of Amazon ElastiCache that enables horizontal scaling of Redis nodes. In a clustered environment, Redis data is partitioned across multiple shards or nodes, which can help to reduce network latency and improve performance. Additionally, ElastiCache can automatically manage the distribution of data across nodes, which can help to ensure that data is evenly distributed and the workload is balanced.

B. Replacing the node type with R4: The M5 node type is a general-purpose instance type, whereas the R4 node type is optimized for memory-intensive workloads. Replacing the node type with R4 can help to improve performance by providing more memory and CPU resources. This can help to reduce the time required to access data and execute commands, which can result in lower network latency and higher performance.

C. Multi-threading in the ElastiCache Redis cluster: Redis supports multi-threading, which can help to improve performance by allowing multiple threads to execute commands simultaneously. Multi-threading can help to reduce the time required to execute commands, which can help to reduce network latency and improve performance. However, it should be noted that multi-threading is not supported in all versions of Redis, so it is important to verify that the version being used supports multi-threading before enabling this feature.

D. Enhanced I/O handling in the ElastiCache cluster: Enhanced I/O handling can help to improve performance by optimizing the way data is written to and read from the ElastiCache cluster. This can help to reduce the time required to access data, which can result in lower network latency and higher performance. Enhanced I/O handling can be enabled by using the Redis Append-Only File (AOF) persistence mode or by enabling the Redis Virtual Memory (VM) feature.

In summary, to achieve high performance with low network latency in a distributed in-memory data store in Amazon ElastiCache for Redis, options A, B, and D can be considered. Option C may also be beneficial, but it depends on the version of Redis being used.