For Series A–C Startups · AWS Cost Optimization
AWS Cost Optimization for Startups: Stop Overpaying Before Your Next Round
Series A–C startups waste 30–40% of their AWS spend - not because they're careless, but because AWS is complex and the team is focused on shipping features, not optimizing infrastructure.
Why Startups Overspend on AWS
Scaling fast without guardrails
Resources are provisioned for growth sprints and never right-sized after the load stabilizes. Default instance sizes are almost always oversized.
No dedicated FinOps role
Series A–C startups rarely have a dedicated cloud cost engineer. The infrastructure team focuses on reliability and velocity, not cost efficiency.
Default configurations are expensive
AWS defaults - gp2 EBS volumes, On-Demand pricing, no VPC endpoints - are convenient at launch but costly at scale.
The 5 Biggest AWS Cost Leaks in Startup Infrastructure
These are what we find in almost every audit.
Over-provisioned compute
High impactEC2 and ECS instances sized for worst-case load at launch. CloudWatch shows 5–15% CPU. The team is scared to downsize. This is the #1 finding in every audit.
EC2 rightsizing guide →NAT Gateway data processing
High impactTraffic to S3, ECR, and CloudWatch routed through NAT Gateway at $0.045/GB. A free Gateway VPC Endpoint eliminates the largest portion in under 15 minutes.
How to reduce NAT Gateway costs →Missing commitment discounts
Medium–High impactOn-Demand pricing is 30–66% more expensive than 1-year Savings Plans. Most startups avoid commitments out of caution - but Compute Savings Plans are fully flexible.
Savings Plans vs Reserved Instances →Orphaned and idle resources
Medium impactUnattached EBS volumes, old snapshots, idle load balancers, forgotten dev/staging environments. These accumulate invisibly and are only found by actively looking.
Why is my AWS bill so high? →Over-provisioned databases
Medium impactRDS is consistently the second-biggest AWS cost driver. Instances are sized conservatively and grow with team anxiety, not actual query load.
How to reduce RDS costs →Consultant vs In-House vs Tool - What Makes Sense at Series A–C
The answer depends on your stage, spend level, and whether you want implementation or just recommendations.
| Option | Cost | Time to results | Best for |
|---|---|---|---|
| FinOps tool (CloudZero, nOps) | $500–3,000/month | Weeks (setup + learning) | Visibility only; you still implement changes |
| Hire in-house FinOps engineer | €80–120K/year + benefits | 3–6 months (hire + ramp) | €500K+/month AWS spend with complex multi-cloud |
| CloudCostDown audit | €5K one-time | 1 week | Fast results with IaC implementation |
| CloudCostDown retainer | €3K/month | Ongoing | Continuous optimization without a hire |
More on this: FinOps consultant vs. in-house hire - what makes sense for your stage →
Founder FAQs
Is the audit process secure?
Yes. I provide a one-line bash script that creates a read-only IAM role in under 5 minutes. No data leaves your account, no production changes are made, and an NDA is signed before access is granted.
How long does the audit take?
1 week from access grant to delivered report and 30-minute walkthrough call.
What does the audit actually deliver?
A detailed findings report with specific resource IDs, dollar amounts per issue, CLI commands your team can execute, and a prioritized task list (CSV) to drop into your backlog.
What happens after the audit?
You implement the changes using the delivered PRs. An optional Managed FinOps Retainer (€3K/month) is available for ongoing optimization.