Case study · FinOps

A serverless cost visibility pipeline

A near real-time pipeline that showed every service owner what their service costs, driving over $1M in yearly cloud savings.

Result: Over $1M a year saved by teams acting on their own cost data.

Context

Many teams ran services on shared cloud infrastructure.

Service owners couldn't see what their services cost, so nobody owned the spend.

Built a near real-time aggregation pipeline on AWS Lambda, Athena and Python, and published per-service costs in the internal developer portal.

Concurrency

before100%

after0%

How replacing a single global Redis lock with an append-only event log removed lock starvation and write races in a high-concurrency service.

Caching

before100%

after56%

Key-level memory profiling and a shared Redis client library cut cache memory 44%, peak utilization from 94% to 56%, and ended connection drops.

Databases

before1.0×

after0.4×

Finding slow SQL behind partner-facing APIs with OpenTelemetry tracing, then removing expensive joins, partitioning indexes and shrinking payloads.