capacity-planning

Capacity planning uses load estimation and resource sizing formulas to forecast infrastructure needs. Apply Little's Law and standard sizing methods to compute, storage, and network resources, then add headroom for traffic spikes and growth to guide sizing decisions.

Little's Law relates arrival rate, system time, and concurrency in queueing systems. It calculates expected concurrency from target requests-per-second and average response time, enabling accurate compute resource sizing for handling anticipated load.

Growth forecasting applies baseline measurements, traffic projections, and lifecycle workflows—Baseline, Forecast, Size, Buffer, Monitor—to estimate future resource requirements. Document projected growth rates across compute, storage, and network to guide multi-month capacity expansion.

Capacity planning covers compute, storage, and network resources. Size each dimension based on load estimates, add buffer headroom for spikes, and monitor actual usage to validate forecasts and adjust future projections.

Yes. Apply the estimation framework to plan three-month or longer resource growth for new services. Use baseline requirements, traffic forecasts, and sizing formulas to establish initial capacity and headroom before launch.

Use Little's Law formula: concurrency = requests-per-second × average response time. This determines the compute threads or connections needed to handle target throughput without queuing or resource exhaustion.