A fast-growing B2B SaaS company saw its monthly AWS bill grow twice as fast as customer revenue due to idle virtual machines, oversized databases, and manual Friday-night deployments. SNWN re-platformed 75 services onto autoscaling Kubernetes with Karpenter, built ArgoCD GitOps release pipelines, and rolled out live FinOps cost dashboards. Within 90 days, monthly cloud spend dropped by 42% while deployment speed tripled.
Why Cloud Bills Were Rising Faster Than Customer Growth
Over three years of rapid feature launches, each product squad spun up separate EC2 instances, load balancers, and staging servers. Nobody wanted to touch older servers for fear of breaking a customer integration, so cloud waste compounded every month.
Key Operational Bottlenecks Before the Project
- Average CPU utilization across 380 production and staging virtual machines sat below 14%.
- Cross-AZ data transfer and unattached EBS volumes quietly added $28,000 a month in avoidable charges.
- Releases required manual bash scripts and two-hour feature freezes, limiting teams to one deploy a week.
How We Rebuilt the Platform and Cut Cloud Waste Step by Step
We tackled immediate FinOps quick wins in week two so the savings paid for the engineering modernization before the project even finished.
Tagged Every Resource and Eliminated Immediate Cloud Waste
We enforced automated cost-allocation tags by squad, environment, and customer tier. Right away, we cleaned up orphaned snapshots, idle load balancers, and oversized NAT gateways, trimming 16% off the bill in the first 15 days.
Containerized Services Onto Multi-AZ Kubernetes with Karpenter
We migrated stateless APIs and background workers onto EKS clusters managed by Karpenter. Workloads now bin-pack cleanly onto a mix of Spot and Compute Savings Plan nodes during daytime peaks and scale down automatically overnight.

Standardized Zero-Downtime GitOps Releases with ArgoCD
Every service received a clean Helm template and GitHub Actions pipeline with automated tests and ArgoCD canary rollouts. If error rates tick up above 0.5%, traffic rolls back automatically in under 30 seconds.
Built Self-Service Ephemeral Staging and Live FinOps Alerts
Instead of running 12 permanent staging environments 24/7, pull requests now spin up temporary preview namespaces that shut down automatically at 7 PM local time. Weekly Slack FinOps digests flag any service whose unit cost drifts upward.
Lower Cloud Costs and Happier Product Squads
Finance gained predictable unit economics per customer, and developers stopped spending Friday evenings babysitting deployments.
Monthly Cloud Cost Reduction
Saved over $410,000 in annualized AWS compute, storage, and data-transfer spend.
Higher Release Frequency
Product squads moved from weekly release freezes to multiple safe deploys every day.
Faster Environment Setup
New microservices launch with logging, metrics, and CI/CD in 20 minutes via templates.
Day-to-Day Business Impact
- Gross margin improved by 6.4 percentage points ahead of the client's Series C fundraising round.
- Zero customer-facing deployment outages across more than 400 production releases.
- Developers spin up isolated PR preview environments on demand without filing DevOps tickets.
Tools, Platforms, and Technologies Used
Every component in this deployment was selected for long-term stability, clear observability, and straightforward handover so internal engineers never get locked into black-box scripts.
Platform Engineering & DevOps
See how our specialists design, migrate, and manage workloads like this every day.
Frequently Asked Questions About This Project
Is running Spot instances on Kubernetes safe for production B2B SaaS?
Yes, when paired with Karpenter pod disruption budgets, topology spread rules, and graceful termination hooks. Stateless workers run safely on diversified Spot pools while stateful APIs stay pinned to on-demand Savings Plan nodes.
How fast do cloud FinOps optimizations start showing savings?
Cleanup of orphaned storage, idle load balancers, NAT gateway routing, and non-production scheduling typically reduces monthly cloud bills by 15% to 20% within the first three weeks.
Do our developers need deep Kubernetes expertise to use the new platform?
No. SNWN builds simple golden templates so developers just push code and edit a short values file, while Kubernetes scaling, TLS certificates, and monitoring happen automatically behind the scenes.




