Builds a cost model of your existing AWS environment based on real usage, topology, and traffic patterns
- Breaks down costs by actual cost drivers, not just AWS service names
- Explains why a service is expensive (or growing), not just how much it costs
- Attributes cost to behaviors:
- Inefficient scaling defaults
- Network paths (NAT, inter-AZ, egress, endpoints)
- Over-provisioned compute - Identifies where actual usage diverges from assumed design
- Surfaces optimization opportunities that are specific to how your workloads run today
What This Lets You Answer
- What is actually driving our AWS bill?
- Which parts of the architecture contribute most to cost and why?
- Are we paying for capacity or paths we don’t really need?
- Which assumptions in our original design turned out to be wrong?
- Where would optimization have the biggest real impact?
How This Is Different From Traditional Cost Views
- Traditional FinOps tools show spend after the fact.
- TOP models cost as a function of system behavior:
- You see how cost emerges and which levers actually move it.