capacity-planning

Capacity planning forecasts infrastructure needs by defining baseline workloads, analyzing gaps in scaling and quotas, and generating load test plans to prevent bottlenecks. It ensures reliable scaling across tenants and endpoints during new feature rollouts.

Capacity planning is the process of forecasting infrastructure requirements and identifying bottlenecks before they impact performance. You need it during infrastructure design, capacity validation, and when planning new features across tenants and user endpoints.

Define a baseline workload using structured templates for RPS, payload, and latency targets. The Skill then generates a formal load-testing plan with clear success criteria, incorporating graceful degradation strategies to ensure resilience under stress.

Yes, capacity planning supports multi-tenant environments by performing gap analysis for scaling limits, quotas, and retry strategies. It validates whether your infrastructure can handle workload scenarios across various tenants and user endpoints reliably.

Run a capacity assessment by defining a baseline workload and generating a load plan. This gap analysis identifies bottlenecks in scaling and quotas, validating infrastructure readiness and ensuring graceful degradation strategies are in place.

Scaling configurations often fail without proper gap analysis for quotas and retry strategies. Capacity planning identifies these bottlenecks by testing workload scenarios against latency targets and implementing graceful degradation strategies to maintain resilience.