Over-provisioning wastes infrastructure budget; under-provisioning causes subscriber-impacting performance degradation.
Over-provisioning wastes infrastructure budget; under-provisioning causes subscriber-impacting performance degradation. Manual capacity planning based on historical peaks is inaccurate for dynamic digital platforms.
Time-series forecasting models predict compute, memory, storage and network capacity requirements per service, per time window. Recommendations for pre-emptive scaling actions delivered to operations teams with lead-time buffers.
Gather traffic, transaction and resource usage history.
Forecast demand per service and component, including peaks.
Recommend when and where to add capacity.
Compare forecasts with actuals each cycle.
This page describes generic industry practice and public standards. It is not based on, and does not describe, any particular vendor's product or operator's systems.