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US-based Series A SaaS Startup

Reducing 88% AWS Spend from $13k to under $2k/month

How we optimized and re-architected a multi-cluster infrastructure into a multi-tenant, auto-scaling powerhouse, slashing costs and accelerating onboarding.

Reducing 88% AWS Spend from $13k to under $2k/month
88% Reduction in monthly AWS spend ($13k to $1.5k)
Onboarding time reduced from days to minutes via IaC
70% Faster startup time (30s to <10s)
77% Reduction in Docker image size (278MB to 65MB)
$1,000+/mo saved in 3rd party SaaS subscriptions

"Facing a ballooning AWS bill and sluggish deployment cycles, this Series A startup needed a complete infrastructure overhaul. We migrated their complex multi-cluster architecture to a streamlined multi-tenant model, implemented intelligent auto-scaling, and performed a total "housekeeping" of unused resources."

The Challenge

Scaling rapidly is a high-class problem, but it often leads to technical debt that eats margins. This US-based Series A startup was facing ballooning AWS costs ($13k/month) that threatened their unit economics, coupled with deployment friction that slowed down their engineering team.

Our Strategic Execution

We didn't just tweak settings; we re-architected the foundation. Our intervention included:

  • Multi-tenant architecture migration
  • Dynamic auto-scaling implementation
  • Docker build-time optimization (10m → 3m)
  • Docker image reduction (278MB → 65MB)
  • Hardened zero-trace secret management
  • Full Infrastructure as Code (IaC) automation

Business Impact

By optimizing the startup time from 30 seconds to under 10 seconds and automating infrastructure creation, we reduced new customer onboarding time from days to just minutes. Coupled with an additional $1,000+/month saved in SaaS subscriptions and total AWS spend reduced to $1.5k, the total ROI was realized within 90 days.

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