Web capacity analysis

The Web Capacity Analysis Tool models how a website's traffic translates into required resources. It ingests traffic patterns, user behavior, and deployment topology to estimate the concurrent load, request rates, and bandwidth needs that will satisfy a given performance target. The result is actionable sizing guidance for infrastructure teams, not just high-level heuristics. It is suitable for SREs, platform engineers, and capacity planners during capacity planning, outages post-mortems, and reliability exercises.
Conceptually, the tool computes peak demand using simple, transparent relationships: total requests per second (RPS) is the product of peak concurrent users and the per-user request rate; origin traffic is reduced by CDN offload; bandwidth requirements derive from response size and network efficiency; and latency budgets constrain the minimum compute and network capacity. The approach favors clarity and traceability, with explicit formulas and fallback defaults.
Unique value lies in combining traffic modeling with regional and resilience considerations. Optional inputs for multi-region deployment, regional redundancy, and failure scenarios let teams explore worst-case capacity needs without running separate simulations. Outputs include recommended origin capacity, CDN share, required instances, and margins to absorb spikes, enabling faster, more confident capacity decisions.
Typical use cases include preparing for product launches, traffic events, or capacity audits. The tool accepts standard units, returns calculable metrics, and supports export to planning documents or integration with existing dashboards. By providing concrete numbers rather than abstract estimates, it helps teams justify provisioning, negotiate cloud costs, and reduce the risk of performance violations.