Which solution is the MOST cost-effective at scale?
Implement Multi-AZ and Auto Scaling for all EC2 instances in the current configuration. Ensure that all EC2 instances are purchased as reserved instances. Implement new elastic Amazon EBS volumes for the data tier.
Design and implement the Docker-based containerized solution for the application using Amazon ECS. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow the Aurora MySQL storage, as necessary. Ensure that Multi-AZ architectures are implemented.
Ensure that EC2 instances are right-sized and behind an Elastic Load Balancing load balancer. Implement Auto Scaling with EC2 instances. Ensure that the reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Ensure that Multi-AZ architectures are implemented.
Ensure that EC2 instances are right-sized and behind an Elastic Load Balancer. Implement Auto Scaling with EC2 instances. Ensure that Reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow Aurora MySQL storage, as necessary. Ensure Multi-AZ architectures are implemented.
Explanations:
Although Multi-AZ and Auto Scaling are beneficial for EC2 instances, using Elastic Block Store (EBS) volumes for large datasets such as 16 TB is not the most cost-effective solution. EBS volumes are costly at scale and don’t offer automatic scalability. The solution doesn’t address the need for a more scalable database solution.
While Amazon ECS and Aurora MySQL are scalable solutions, designing a Docker-based containerized application adds unnecessary complexity to the current environment. The focus should be on database scalability and cost-efficiency, rather than containerizing the application. Aurora MySQL is a better choice than EC2-hosted MySQL for scalability, but the application containerization isn’t necessary.
Migrating to Aurora MySQL Multi-AZ is the best option for high availability, scalability, and performance. Aurora offers automated storage scaling, unlike EBS volumes. This reduces operational overhead and is more cost-effective at scale. The use of EC2 Auto Scaling and Elastic Load Balancing ensures application scalability and availability.
This option is similar to C but introduces unnecessary complexity with storage checks and Lambda functions to grow Aurora MySQL storage. Aurora MySQL automatically scales storage, so this manual intervention is unnecessary. Additionally, the focus on reserved instances for EC2 increases costs, whereas using on-demand scaling with Auto Scaling is more flexible and cost-efficient.