Database Capacity Planning & Scaling Strategy

I will develop a database capacity planning report for your environment — analysing current storage growth trends, query volume trajectory, connection pool usage, memory pressure patterns, and I/O utilisation — and producing a 12-month growth projection with specific scaling recommendations (vertical scaling, read replica addition, sharding, or archival strategy) and a decision timeline indicating when each scaling action should be taken to avoid hitting capacity limits under traffic. Capacity planning for databases requires quantitative growth modelling rather than guesswork; organisations that wait until they hit a capacity limit are already in a reactive crisis rather than executing a planned scaling strategy.

The report covers current storage growth rate calculation (table-level trend analysis), query volume and response time trend, connection pool utilisation pattern, memory and I/O headroom, 12-month capacity projection under current and projected growth scenarios, a scaling recommendation with effort and cost estimates for each option, and a decision timeline showing when each scaling threshold will be reached.

Designed for engineering and infrastructure teams planning database infrastructure for product growth who need quantitative evidence to support infrastructure investment decisions.