Which statement describes Right Sizing in cloud computing?

Which statement describes Right Sizing in cloud computing?

• A. Scaling resources based on predicted peak usage regardless of actual usage
• B. Automatically scaling to always meet peak demand
• C. Keeping a fixed size for all workloads
• D. Scaling cloud resources based on actual usage and needs

Answer: (D)

Right sizing means aligning resource allocation to the actual demand of your workloads, so you pay for what you truly need and still meet performance requirements. It relies on monitoring usage and performance metrics (like CPU, memory, I/O, and latency) and adjusting resources accordingly, often with autoscaling to respond to changing traffic. This approach avoids wasting money on idle capacity and prevents performance issues from being under-provisioned. This description best fits the idea of scaling based on actual usage and needs, rather than guessing about peak usage or keeping a fixed size. If you scale based on predicted peak, you end up over-provisioning most of the time. If you always try to meet peak demand, you incur unnecessary costs. If you keep a fixed size for all workloads, you can’t handle variability. Right sizing targets the balance between cost and performance by responding to real usage patterns.

Right sizing means aligning resource allocation to the actual demand of your workloads, so you pay for what you truly need and still meet performance requirements. It relies on monitoring usage and performance metrics (like CPU, memory, I/O, and latency) and adjusting resources accordingly, often with autoscaling to respond to changing traffic. This approach avoids wasting money on idle capacity and prevents performance issues from being under-provisioned.

This description best fits the idea of scaling based on actual usage and needs, rather than guessing about peak usage or keeping a fixed size. If you scale based on predicted peak, you end up over-provisioning most of the time. If you always try to meet peak demand, you incur unnecessary costs. If you keep a fixed size for all workloads, you can’t handle variability. Right sizing targets the balance between cost and performance by responding to real usage patterns.