Cloud Cost Optimization
Most funded startups waste 30–40% of their cloud budget. Not because engineers are careless - because nobody has time to audit it.
Get StartedThe Problem
AWS, GCP, and Azure are designed to make spending money easy and saving money hard. The defaults are over-provisioned. Reserved instances require upfront commitment. Spot instances require engineering investment to implement safely. Most startups skip all of it because shipping features is the priority.
The numbers add up fast. A startup running $15K/month in AWS spend is likely wasting $4K–$6K/month on oversized instances, idle resources, data transfer costs they do not know about, and services left running from experiments that shipped two quarters ago.
Cloud cost optimization is not about cutting corners. It is about paying for what you actually use.
Our Approach
Cost audit
We pull your last 3 months of cost data and categorize every dollar. Services, regions, data transfer, support costs. We find the waste.
Quick wins (first 2 weeks)
We implement changes that have zero risk: deleting idle resources, right-sizing obviously over-provisioned instances, removing unused storage. This usually covers 10–20% savings immediately.
Structural optimization
Reserved instances for stable workloads, Spot/Preemptible instances for batch jobs and non-critical services, savings plans, and S3 storage tier optimization.
Prevention infrastructure
We set up cost alerts, budget thresholds, and monthly cost reviews so this does not creep back up after we are done.
What You Get
- Full cloud cost audit report with findings by service
- Prioritized optimization recommendations with effort and savings estimates
- Implementation of all approved optimizations
- AWS/GCP/Azure cost monitoring dashboard
- Budget alerts and anomaly detection setup
- Reserved instance and savings plan recommendations
- Monthly cost review process documentation
Tech Stack
Real Example
Context: Series A data platform running $22K/month in AWS. No Reserved Instances, several idle EC2 instances, and a forgotten Elasticsearch cluster.
Cut monthly spend to $13K within 6 weeks. $9K/month saved. ROI on the engagement was achieved in the first month.