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Zorluk: OrtaCost-Optimized Compute Selection and Purchasing Strategies

A genomic research company runs a continuous, 24/7 data-ingestion pipeline on Amazon EC2 instances with a highly predictable baseline load. The company also runs containerized data analysis workloads on Amazon ECS using AWS Fargate that can tolerate interruptions and can be restarted from checkpoints. Finally, they maintain a persistent Multi-AZ Amazon RDS for PostgreSQL database instance. The company wants to implement a purchasing strategy to maximize cost savings across these workloads. Which combination of purchasing options meets these requirements most cost-effectively?

  1. A
    Purchase a Compute Savings Plan to cover the EC2 instances, the Fargate tasks, and the RDS database.
  2. B
    Purchase a Compute Savings Plan to cover the EC2 instances and the RDS database, and run the Fargate tasks on Fargate Spot.
  3. Purchase a Compute Savings Plan for the EC2 instances, run the ECS tasks on Fargate Spot, and purchase an Amazon RDS Reserved DB Instance.Cevap
  4. D
    Use EC2 Spot Instances for the data-ingestion pipeline, run the ECS tasks on Fargate Spot, and purchase a Compute Savings Plan for the RDS database.

Cevap

Purchase a Compute Savings Plan for the EC2 instances, run the ECS tasks on Fargate Spot, and purchase an Amazon RDS Reserved DB Instance.
The correct option properly matches the workloads to their respective optimized purchasing models: the continuous EC2 instances are covered by a Compute Savings Plan, the interruptible ECS Fargate tasks run on Fargate Spot, and the persistent Amazon RDS database is covered by an RDS Reserved DB Instance.

Adım Adım Çözüm

1
Analyze the EC2 data-ingestion workload.
The pipeline runs 24/7 and has a highly predictable baseline load. Applying a Compute Savings Plan yields significant savings over On-Demand rates with a 1-year or 3-year commitment.
Baseline, continuous EC2 workloads are best optimized using Savings Plans or Reserved Instances.
2
Analyze the ECS Fargate workload.
The containerized tasks are stateless, run irregularly, and can tolerate interruptions. Fargate Spot is the most cost-effective option, offering up to a 70% discount compared to standard Fargate pricing.
Workloads that are interruptible and can resume from checkpoints are ideal candidates for Spot capacity.
3
Analyze the RDS PostgreSQL workload and identify the correct purchasing model scope.
The database is persistent and runs continuously. Compute Savings Plans do not apply to Amazon RDS. Therefore, an Amazon RDS Reserved DB Instance must be purchased to reduce database costs.
Compute Savings Plans only cover EC2, Fargate, and Lambda. Non-compute services like RDS require specific Reserved DB Instance commitments.

Anahtar Kavram

Selecting cost-optimized compute purchasing strategies based on workload predictability and service-specific savings plan boundaries.
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Cost-Optimized Compute Selection and Purchasing Strategies