Storage Capacity Planner

It applies real compound-growth math: Future Capacity = Current Capacity × (1 + annual growth rate)^planning horizon in years. Your desired headroom percentage is then applied on top of that projection, and — if you select a redundancy/efficiency assumption — a raw capacity figure is calculated as Usable Required ÷ Efficiency.

A common standing target is keeping primary storage under 70-80% utilization (equivalent to roughly 25-40% headroom above your projected usable requirement), with expansion planning triggered automatically once a volume crosses that threshold. Performance and reliability commonly degrade as volumes approach full capacity, so waiting until near-exhaustion to plan an expansion risks an emergency, unplanned procurement.

Yes, for a generic efficiency-percentage model. It computes your projected usable capacity and, if you select a redundancy/efficiency assumption, an estimated raw capacity figure. It does not model disk-count-aware RAID or erasure-coding layouts — for an exact array configuration, validate the raw-capacity figure against your storage vendor's own sizing tool.

Block storage (SAN) suits databases and VM datastores that need high-performance, low-latency I/O. File storage (NAS) suits shared, collaborative file access across users and departments. Object storage suits large volumes of unstructured data, backups, and archives where capacity and durability matter more than latency. This is general background — this tool calculates capacity requirements, not which architecture type fits your workload.