Capacity Planning vs Over Provisioning

Developers should learn capacity planning to design scalable systems, avoid performance issues, and reduce operational costs by aligning technical resources with business needs meets developers should learn about over provisioning when designing scalable systems, especially in cloud environments, to ensure applications can handle variable loads without service interruptions. Here's our take.

Capacity Planning

Nice Pick

Developers should learn capacity planning to design scalable systems, avoid performance issues, and reduce operational costs by aligning technical resources with business needs

Pros

• It is essential when building applications with variable traffic (e
• Related to: system-design, performance-optimization

Cons

• Specific tradeoffs depend on your use case

Over Provisioning

Developers should learn about over provisioning when designing scalable systems, especially in cloud environments, to ensure applications can handle variable loads without service interruptions

Pros

• It is particularly useful for mission-critical applications, such as e-commerce platforms during sales events or streaming services during peak viewing times, where performance and availability are paramount
• Related to: capacity-planning, cloud-computing

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Capacity Planning is a methodology while Over Provisioning is a concept. We picked Capacity Planning based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Capacity Planning wins

Based on overall popularity. Capacity Planning is more widely used, but Over Provisioning excels in its own space.