[FEATURE] Build FinOps Cost Intelligence Analytics Engine Mapping Spot Arbitrage Savings Deltas

Problem

Corporate technology executives require direct, transparent visibility into the exact cloud computing budgets and processing resource capital preserved by implementing our transport-layer crash recovery platform instead of running standard userspace logging handlers [1.5, 1.6].

Proposed Solution

Scaffold a dedicated background processing cost evaluator inside internal/finops/cost_calculator.go:

1. The Spot Arbitrage Delta Calculator: Track live computing cost differentials on-the-fly, mapping on-demand base instance costs against low-cost spot instances pricing variables pools.
2. The Automated Estimated Savings Aggregator: Continuously compute historical recovery data arrays, formatting total dollar value margins saved per multi-tenant cluster environment into a structured configuration file path tracking metric.

Use Case

Gives enterprise sales teams an unshakeable B2B value hook. Corporate buyers see absolute mathematical evidence of rescued compute capital, positioning FaultPlane as an instant financial asset layer for enterprise operations teams [1.5].

Start by reading the proposed entry point, internal/finops/cost_calculator.go, and identify how the background evaluator should receive on-demand and spot pricing variables. Define completion around calculating the live cost differential and aggregating historical recovery data into the structured configuration file path described in the issue. No tests or existing entry points are named, so the surrounding FinOps design will need investigation.