Cloud & Technology Cost Optimization
Technology cost should follow business value — not inertia.
A structured review of cloud, SaaS, vendor and engineering costs with optimization decisions grounded in measured usage.
The problem
Start with the business context.
Cloud and technology spend has grown faster than leadership visibility. Costs are distributed across compute, databases, storage, networking, SaaS and vendors without a clear view of what is necessary.
What the engagement can cover
- AWS / Azure / GCP spend review
- Infrastructure utilization
- Database, storage and compute economics
- Networking and observability costs
- SaaS and vendor rationalization
- Engineering cost drivers
- Automation opportunities
- Optimization roadmap
Primary output
Technology Cost Optimization Plan
Where it fits
Best suited to companies with meaningful recurring technology spend and enough usage data to make evidence-based decisions.
Decision discipline
Before recommending implementation, we test the cheaper answers too.
Build, buy, automate, hire, outsource, optimize, defer and remove all stay on the table until the economics and constraints narrow the choice.
01BUILDorBUY
02HIREorAUTOMATE
03NOWorDEFER
Start with one hour