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AWS Certified Solutions Architect - Associate: Handling Variable Traffic
Understand how to choose the right AWS service for variable traffic patterns in your exam.
When preparing for the AWS Certified Solutions Architect - Associate exam, candidates often struggle with questions about managing variable traffic. This decision involves balancing cost and performance, a crucial skill for architects.
The question
A startup is planning to deploy a new web application on AWS and expects variable traffic patterns that may include sudden spikes. The CTO wants to ensure that the application is cost-effective while being able to handle the variable load. Which service should the team primarily consider for managing the compute layer?
- A. AWS Elastic Beanstalk
- B. Amazon EC2 with Auto Scaling
- C. AWS Lambda
- D. Amazon ECS
Think before you scroll
Consider how each option addresses variable traffic and cost management. Look for a service that can automatically adjust to changing loads while minimizing costs.
The answer
The correct option is B. Amazon EC2 with Auto Scaling. This service allows the application to scale in and out according to traffic demands. It optimizes costs by only using the necessary resources at any given time.
Why the other options lose
- A. AWS Elastic Beanstalk: While Elastic Beanstalk simplifies application deployment and management, it doesn't inherently offer the same level of cost optimization through automatic scaling as EC2 with Auto Scaling. It manages the environment but relies on EC2 for scaling.
- C. AWS Lambda: Lambda is a serverless option that can handle variable workloads, but it may not suit all applications requiring consistent performance. It is ideal for event-driven architectures but doesn't provide fine-grained control over compute resources like EC2 does.
- D. Amazon ECS: Amazon Elastic Container Service (ECS) is great for container management but lacks the automatic scaling features that EC2 with Auto Scaling provides. While ECS can run applications in containers, it requires additional configuration to handle scaling effectively.
The concept behind it
The underlying principle here is the need for a service that can automatically adjust to varying traffic patterns while managing costs effectively. EC2 with Auto Scaling excels in this area by adding or removing instances based on real-time traffic metrics. This ensures that the application can handle spikes in demand without overspending on idle resources.
Exam trap to remember
Remember: Choose a service that scales automatically to manage variable loads efficiently and cost-effectively.