Optimizing Read Performance for Amazon Aurora Cluster

Correct Answer: B.

Read-only endpoints called Reader endpoints can be used along with Amazon RDS Proxy with the Amazon Aurora cluster.

The application reads data from a particular DB instance with Read Replicas, while Reader endpoints load balances read requests to multiple instances within a cluster.

This improves scalability and availability for read operations from reader DB instances & also enhances read performance.

While creating Reader endpoints, the target should be set as a reader DB instance of the Aurora cluster.

Options A, C & D incorrect all these target types are invalid as the target type for the Reader endpoint should be reader DB instance.

For more information on Amazon RDS Proxy & Reader endpoint, refer to the following URLs,

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/rds-proxy.html https://aws.amazon.com/blogs/aws/new-reader-endpoint-for-amazon-aurora-load-balancing-higher-availability/

Sure, I'd be happy to explain each of the options and their potential impact on read performance in this scenario.

First, it's important to understand the role of RDS Proxy in this architecture. RDS Proxy is a fully managed service that sits between your application and your Amazon RDS database instances to pool and share database connections, improve scalability, and manage failover. It's designed to help improve application performance by reducing the number of open connections to your database instances and managing connections to improve scaling and high availability.

In this case, the e-commerce company has deployed a query-intensive application on an Amazon Aurora cluster with RDS Proxy. The operations team is getting complaints of delays in reading data from these clusters. The goal is to analyze and optimize read performance.

Let's look at each of the options:

A. Create a Reader endpoint with RDS proxy having target as Amazon Aurora Cluster primary DB instance.

This option creates a reader endpoint that directs read traffic to the primary instance of the Amazon Aurora cluster. The primary instance is the master node in the cluster and is responsible for all write operations. By directing read traffic to the primary instance, this option could actually worsen read performance since it would increase the load on the primary instance, which is already handling write operations.

B. Create a Reader endpoint with RDS proxy having target as Amazon Aurora Cluster reader DB instance.

This option creates a reader endpoint that directs read traffic to one of the reader instances of the Amazon Aurora cluster. Reader instances are read-only replicas of the primary instance and can handle read traffic without impacting write operations. By directing read traffic to a reader instance, this option could improve read performance by offloading read traffic from the primary instance.

C. Create a Reader endpoint with RDS proxy having target as single writer Amazon Aurora Cluster.

This option creates a reader endpoint that directs read traffic to the single writer instance of the Amazon Aurora cluster. This would effectively direct all read traffic to the primary instance, which we already determined could worsen read performance. So this option is not recommended.

D. Create a Reader endpoint with RDS proxy having target as multi-writer Amazon Aurora Cluster.

This option creates a reader endpoint that directs read traffic to one of the writer instances of the Amazon Aurora cluster. Writer instances are able to handle both read and write traffic, so directing read traffic to a writer instance could help improve read performance without impacting write operations. However, this option assumes that the Amazon Aurora cluster is configured as a multi-writer cluster, which is not always the case.

In summary, option B - Create a Reader endpoint with RDS proxy having target as Amazon Aurora Cluster reader DB instance - is the recommended option for improving read performance in this scenario.