What should the solutions architect recommend to improve the performance of the website during searches of the product catalog?
Migrate the product catalog to an Amazon Redshift database. Use the COPY command to load the product catalog tables.
Implement an Amazon ElastiCache for Redis cluster to cache the product catalog. Use lazy loading to populate the cache.
Add an additional scaling policy to the Auto Scaling group to launch additional EC2 instances when database response is slow.
Turn on the Multi-AZ configuration for the DB instance. Configure the EC2 instances to throttle the product catalog queries that are sent to the database.
Explanations:
Migrating to Amazon Redshift is not suitable for a product catalog that requires frequent access and quick responses, as Redshift is optimized for analytics rather than transactional queries. Additionally, it involves complexity in data loading and may not directly resolve performance issues for search queries.
Implementing Amazon ElastiCache for Redis to cache the product catalog can significantly improve performance by reducing the load on the RDS database. Caching frequently accessed data allows for faster retrieval and decreases the CPU utilization on the DB instance during search operations.
Adding a scaling policy to launch additional EC2 instances may not address the underlying issue of high CPU utilization on the database during searches. This approach could lead to more web server instances without solving the performance bottleneck in the database itself.
Turning on Multi-AZ configuration provides high availability and failover capabilities, but it does not improve performance for query response times. It simply creates a standby replica in another availability zone, which does not alleviate the CPU load caused by search queries.
As far as I can tell, the answer is:
Implement an Amazon ElastiCache for Redis cluster to cache the product catalog. Use lazy loading to populate the cache.