Allocation and ownership
Accounts, tags, cost categories, unit economics, budgets and anomaly routes that reach the team able to act.
AWS cost optimization
Spend less for a reason you can explain.
We connect the bill to the architecture and the people who own it. That reveals the difference between waste, deliberate headroom and a design that needs to change.
01 / Cost levers
Rightsizing is one lever, not the whole job.
Fast savings often come from abandoned resources and rate changes. Durable savings come from allocation, demand patterns and architecture decisions your team can keep making.
Usage and rightsizing
Idle and underused compute, databases, load balancers, storage, snapshots, logs and non-production schedules.
Rates and commitments
Savings Plans, Reserved Instances and storage tiers modelled against stable usage—not bought to make a dashboard green.
Architecture
Kubernetes density, data transfer, NAT, managed-service choices, retention and scaling behaviour.
02 / Method
Baseline. Change. Verify.
Recommendations include the expected saving, engineering effort, operational risk and how the result will be measured after implementation.
Explain the bill
Normalise recent spend and connect major movements to services, teams, environments and demand.
Choose the levers
Separate quick cleanup, rate changes and engineering work; model trade-offs before changing production.
Prove the saving
Implement agreed actions and compare like-for-like cost after usage and one-off effects are accounted for.
03 / Outputs
- 01Cost and ownership baseline
- 02Opportunity register with effort, risk and expected impact
- 03Implemented quick wins and engineering changes
- 04Commitment model and purchase guardrails
- 05Verification dashboard and operating cadence
Start with the bill line nobody can explain.
We will trace it to the workload.
Review AWS spend →