Principal SRE with proven 49% cost reduction - without touching your application code
Stop paying for idle compute. I've delivered immediate savings through battle-tested optimization strategies.
Here's where companies typically lose 30-70% of their Kubernetes compute spend:
Your pods request far more CPU and memory than they actually use, forcing you to pay for idle capacity that sits unused 24/7
Cluster Autoscaler provisions entire new nodes for tiny workloads, leaving massive amounts of compute capacity sitting idle
You're paying full on-demand prices when Karpenter could automatically leverage spot instances for up to 90% savings
From overspending to cost-optimized in weeks, not months
I analyze your clusters, identify waste, and deliver a detailed report showing exactly where you're overspending and what to fix
I migrate you to Karpenter, right-size your pods, optimize node pools, and implement cost controls - all without touching application code
I set up dashboards and alerts so your team can see what's working. Plus, I stay available for 90 days of post-optimization support.
Transparent pricing with typical 10-20x ROI in year one
Know exactly where you're overspending
Complete optimization deployment
Keep costs optimized as you scale
Full FinOps transformation
See ROI in 2-3 months • No hidden fees or percentages of savings
Monthly savings: $30,000
Annual savings: $360,000
3-year savings: $1,080,000
Full Implementation cost: $40,000
Payback period: 6 weeks
First year ROI: 900%
Most clients see 30-50% reduction. Every day you wait costs money in wasted compute.
Get a free 15-minute assessment to see how much you could be saving