Private Cloud Capacity Planning Baseline: A Practical 12-Month Method
Capacity planning fails when teams start with hardware and end with guesses. A better approach starts with service expectations, workload behavior, and operational constraints, then maps those to compute, storage, and network demand. This guide provides a repeatable 12-month method that infrastructure teams can use to build an evidence-based capacity plan. 1. Define service tiers before sizing Create 3 to 4 service tiers with explicit targets: tier-1 mission critical: low tolerance for downtime, strict recovery expectations tier-2 business critical: moderate resilience requirements, predictable growth tier-3 general purpose: flexible workloads, lower priority during contention tier-4 dev and test: opportunistic usage, preemptible where possible For each tier, define: ...