I will reduce your AWS or azure cloud spend via kernel level finops
Principal DevOps Architect 3M mo Cloud Savings Secure Enterprise AI
About this Gig
High cloud bills are rarely a pricing problem; they are an architecture problem. You are likely paying for idle CPU cycles, unattached storage, and inefficient I/O that your current monitoring tools aren't showing you.
I am a Principal Cloud Architect with 19+ years of deep-systems experience. I have optimized infrastructure for Fortune 500s (including a global ride-sharing giant), recovering up to $3M/month in wasted spend.
HOW I AM DIFFERENT: Most "cost optimizers" just buy Reserved Instances. I go deeper. I analyze the physics of your compute optimizing thread usage, auto-scaling triggers, and storage classes to reduce your footprint without sacrificing performance.
WHAT I SOLVE:
- Bloated Kubernetes Clusters (EKS/AKS)
- Inefficient Database Provisioning (RDS/CosmosDB)
- Data Egress Leaks
- "Zombie" Infrastructure
MY PROMISE: I do not guess. I use forensic data to deliver a roadmap that pays for itself in weeks.
Cloud provider:
Amazon Web Services
My Portfolio
Other Cloud Computing Services I Offer
FAQ
Q1: Do you require Admin/Write access to my AWS or Azure account?
For the Basic Audit, absolutely not. I only require Read-Only access to Cost Explorer, Billing, and CloudWatch/Azure Monitor. I operate with a "Zero-Trust" security posture. For Standard/Premium (Implementation), we will establish temporary, least-privilege access via IAM roles.
Q2: How is your "Kernel-Level" optimization different from standard savings plans?
Most consultants simply buy Reserved Instances (RIs) or Savings Plans. I go deeper. I analyze architectural waste—such as over-provisioned IOPS, unattached EBS volumes, idle Load Balancers, and inefficient container bin-packing. I fix the physics of your consumption, not just the billing method.
Q3: Can you optimize Kubernetes (EKS/AKS) clusters specifically?
Yes. This is a core specialty. I analyze Node pressure, Pod resource requests/limits, and HPA (Horizontal Pod Autoscaler) configurations. I often find that clusters are 40% over-provisioned due to "lazy" resource buffering. I implement Goldilocks or Karpenter strategies to right-size dynamically.
Q4: What is the typical ROI on your $1,250 Standard Package?
While results vary by architecture, my enterprise clients typically see a 20-30% reduction in monthly spend. On a $10k/month bill, this roadmap pays for itself in the first month. On a $100k/month bill, the ROI is exponential.
Q5: Do you work with multi-cloud or hybrid environments?
Yes. I have extensive experience optimizing complex hybrid architectures involving on-premise data centers connected to AWS/Azure via Direct Connect or VPN. I can architect Data Transfer cost reduction strategies for these environments.
Q6: Will your optimization recommendations risk my application's performance?
Never. My background is in Reliability Engineering. I strictly distinguish between "Production Critical" and "Non-Critical" workloads. I never recommend aggressive spot-instance strategies for stateful production workloads unless the architecture is explicitly fault-tolerant.
Q7: I am a startup with credits. Should I still hire you?
Yes. Credits are finite. Building an inefficient architecture now means you will "hit the wall" hard when credits expire. I help you build a FinOps culture so you remain profitable post-credits.

