IG1190K AIOps Capacity Management v1.0.0

This paper covers the Capacity Management process in operations where AI components have been or will be deployed at a significant scale.

The scope of the Capacity Management process is to analyze, plan, design, procure, deliver, record, deploy, supervise, optimize, maintain, reallocate, and eventually decommission the infrastructure resources in Production and in any relevant environment (ML training, maintenance, pre-production, replica of Production, testing, DRP environments etc.), as efficiently as possible, managing their lifecycle until their final retirement.