Server Load & Hardware Estimator

Improper capacity planning leads to two outcomes: expensive over-provisioning or catastrophic downtime during traffic spikes. This estimator calculates the theoretical hardware requirements for a web application based on concurrent user load and the nature of the HTTP requests (Static, Dynamic, or AI/Compute Heavy).

The algorithm accounts for architectural overhead—comparing Monolithic architectures (lower network overhead, higher vertical scaling needs) versus Microservices (higher RAM overhead per service, distributed CPU load). It also provides estimated throughput requirements in IOPS and bandwidth to prevent storage bottlenecks.

Required vCPUs (N_cpu) are estimated using Little's Law derived from Requests Per Second (RPS) and Task Time (t).

Where U_target is the target utilization (e.g., 0.7 or 70%). RAM is calculated by summing base OS overhead and per-worker memory consumption multiplied by concurrency.