What can a solutions architect recommend to prevent service Interruptions at the database layer with minimal changes to code?
Create RDS read replicas and redirect read-only traffic to the read replica endpoints. Enable a Multi-AZ deployment.
Create an Amazon EMR cluster and migrate the data to a Hadoop Distributed File System (HDFS) with a replication factor of 3.
Create an Amazon ElastiCache cluster and redirect all read-only traffic to the cluster. Set up the cluster to be deployed in three Availability Zones.
Create an Amazon DynamoDB table to replace the RDS instance and redirect all read-only traffic to the DynamoDB table. Enable DynamoDB Accelerator to offload traffic from the main table.
Explanations:
Creating RDS read replicas allows for load distribution by directing read traffic to the replicas, which alleviates pressure on the primary database. Enabling a Multi-AZ deployment enhances availability and durability, ensuring that service interruptions are minimized during resource exhaustion. This option requires minimal changes to the existing application code, as it primarily involves configuration adjustments for traffic redirection.
Migrating to an Amazon EMR cluster and using Hadoop Distributed File System (HDFS) introduces significant architectural changes that are not directly aimed at alleviating read request loads. This option is more suitable for large-scale data processing rather than improving database performance and would require substantial code changes for integration with the existing application.
Implementing an Amazon ElastiCache cluster for caching can help reduce load on the RDS instance by serving frequently requested data quickly. However, this option would require code changes to implement caching logic in the application and manage cache invalidation, making it less ideal for minimal changes.
Transitioning to Amazon DynamoDB would involve replacing the existing RDS instance with a completely different database system. This option requires extensive code modifications to adapt the application to a NoSQL model, which is a significant change and may not be necessary if the current RDS setup can be optimized with read replicas.