Cloud Native Microservices Architecture Total Cost of Ownership Optimization
A high growth fintech enterprise operating 120 Kubernetes microservices across multiple AWS and Google Cloud regions, processing 80 million daily financial API calls.
Run on Sahay · Software Delivery & Quality
The challenge
Cloud infrastructure spend grew by 45% quarter over quarter, driven by over provisioned container resources, idle compute nodes, and unindexed database queries.
Engineering teams had zero visibility into the true Total Cost of Ownership (TCO) per microservice or per customer transaction.
FinOps cost reduction initiatives stalled because developers could not pinpoint which specific code routines were generating excessive cloud resource consumption.
How Sahay solves it
Microservice Resource Telemetry Mapping
Sahay correlates Kubernetes pod resource utilization, database IOPS, and network egress directly to individual microservices and code repositories.
Automated Code Level Cost Attribution
Calculates the exact TCO per API endpoint, microservice, and user transaction in real time.
Right Sizing & Auto Scaling Recommendation Engine
Identifies over provisioned CPU/memory limits and recommends optimized container resource configurations.
Inefficient Query & Compute Bottleneck Detection
Flags high cost database queries, unoptimized cache hit ratios, and unnecessary network transfers directly in developer workflows.
Engineering Cost Budgeting & Alerting
Sets real time cost threshold alerts that notify development leads when a microservice deployment exceeds budgeted compute spend.
The outcome
- cloud infrastructure spend reduced
- 0%cloud infrastructure spend reduced
- cost transparency achieved across all 120 production
- 0%cost transparency achieved across all 120 production
Cloud infrastructure spend reduced by 36%, saving $1.4M annually without degrading system latency or reliability.
100% cost transparency achieved across all 120 production microservices.
Engineering teams reduced average compute cost per transaction by 42% within 60 days.
Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.
Capabilities used
Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.
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Bring us the version of this that you actually have.
Every engagement is fixed-scope and outcome-guaranteed. The scoping conversation starts with your systems, not with a template.