A company runs a batch processing application on a fleet of Amazon EC2 instances using gp2 Amazon EBS volumes. The application's database backend is hosted on an Amazon RDS for PostgreSQL Multi-AZ DB instance. The solutions architect needs to optimize both compute and storage performance for this existing solution while keeping administrative effort low. Which of the following recommendations should the solutions architect implement? (Select TWO.)
- Migrate the storage volumes from gp2 to gp3 to gain higher performance at a lower cost and enable independent scaling of throughput and IOPS.Answer
- Use AWS Compute Optimizer to analyze historical utilization metrics and resize the EC2 instances to the recommended optimal instance types.Answer
- CConfigure the existing RDS Multi-AZ standby replica to accept read traffic and scale storage throughput dynamically during batch operations.
- DRequest AWS Support to pre-warm the Application Load Balancer (ALB) before running the batch jobs to resolve compute bottlenecks on the EC2 instances.
Answer
Migrate the storage volumes from gp2 to gp3 to gain higher performance at a lower cost, and use AWS Compute Optimizer to analyze utilization metrics and resize the EC2 instances.
Migrating storage volumes from gp2 to gp3 provides immediate performance and cost benefits by allowing independent scaling of IOPS and throughput. Utilizing AWS Compute Optimizer helps automatically identify size adjustments needed for EC2 instances based on actual usage telemetry.
Step-by-Step Solution
Key Concept
Continuous performance optimization of EC2 instances and EBS volumes using managed tools and modern resource types.
Estimated Time:2m 0s