What is the best solution for an application with traffic spikes at specific periods of the day?

What is the best solution for an application with traffic spikes at specific periods of the day?

• A. Use Load Balancer Only
• B. Use Scaling by Schedule or Scaling by Policy
• C. Increase Instance Size
• D. Implement Content Delivery Network (CDN)

Answer: (B)

When dealing with applications that experience traffic spikes at specific periods of the day, implementing scaling by schedule or scaling by policy is the most effective solution. This approach allows you to proactively manage your resources based on anticipated demand, ensuring that your application remains responsive during peak times and efficiently handles user requests without leading to over-provisioning during quieter periods. Scaling by schedule enables you to automatically increase the number of instances or resources at predetermined times when you expect the traffic to rise. For example, if you know that user activity peaks during business hours or during a specific marketing campaign, you can configure this scaling to kick in right before these spikes occur. Scaling by policy, on the other hand, allows for automatic adjustment of resources based on real-time metrics or thresholds that you define, such as CPU usage or request count. This ensures that as traffic fluctuates, your application can scale out (adding instances) to meet increased demand or scale in (removing instances) when usage decreases, promoting cost efficiency. By combining these scaling strategies, your application can maintain optimal performance while minimizing costs, making it a robust solution for handling predictable traffic variations.

When dealing with applications that experience traffic spikes at specific periods of the day, implementing scaling by schedule or scaling by policy is the most effective solution. This approach allows you to proactively manage your resources based on anticipated demand, ensuring that your application remains responsive during peak times and efficiently handles user requests without leading to over-provisioning during quieter periods.

Scaling by schedule enables you to automatically increase the number of instances or resources at predetermined times when you expect the traffic to rise. For example, if you know that user activity peaks during business hours or during a specific marketing campaign, you can configure this scaling to kick in right before these spikes occur.

Scaling by policy, on the other hand, allows for automatic adjustment of resources based on real-time metrics or thresholds that you define, such as CPU usage or request count. This ensures that as traffic fluctuates, your application can scale out (adding instances) to meet increased demand or scale in (removing instances) when usage decreases, promoting cost efficiency.

By combining these scaling strategies, your application can maintain optimal performance while minimizing costs, making it a robust solution for handling predictable traffic variations.