Crystal Lotus engagement
AWS Cost Optimisation for a B2B SaaS Data Platform
A US software company running a data platform on AWS wanted its bill down without its customers noticing. The answer was four waves of change, each with a performance metric that was not allowed to move.
The Approach
Cost work fails when it is done as a single sweep: savings land, latency creeps up, and the changes get rolled back a month later. We ran four waves instead. Each wave began by agreeing the performance metrics it must not move, made its changes, and measured both the saving and the guardrail before the next wave started.
The Result
AWS spend fell by about 40% across the four waves, with the agreed performance guardrails held throughout.
Ready to Talk to an Architect?
A 30-minute call with the architect who would own your work. You leave with a written view of the next step and a rough sizing, whether or not you go ahead with us.
Book an Architecture Discovery Callor email contact@crystallotus.co