Infrastructure cost growing much faster than traffic or actual business usage.
Cloud Cost & Scaling Audits
If your infra cost grows faster than revenue, I fix it.
Most teams optimize uptime and completely miss why their AWS bill keeps climbing. The system looks stable, but cost is drifting, utilization is weak, and the real scaling problem stays hidden until it gets expensive.
I help you find where the bill can be improved: idle capacity, bad sizing, wasteful architecture choices, and the layers that make AWS spend grow faster than the business. The goal is simple: understand what is wasting money, what is bending your cost curve in the wrong direction, and what to fix first.
Cost Waste
Catch spend growing 2x to 5x faster than real demand.
Scale Risk
Find the layers, services, and bottlenecks that break under load.
Clear Fixes
Get direct recommendations tied to real usage and real cost.
What I Usually Find
Most systems I review have at least one issue that is already creating hidden cost drag or a scaling problem that only shows up once traffic jumps.
Services running around the clock at low utilization because nobody challenged the defaults.
Databases doing far more work than request volume justifies, usually because of avoidable architectural choices.
Autoscaling tied to CPU or memory when the real bottleneck is queue depth, concurrency, or demand shape.
Logging, storage, egress, and background jobs increasing every month without enough scrutiny.
Added services, proxies, and abstractions that increase cost and complexity without meaningful value.
You do not need all of these to have a problem. One is enough to waste serious money
or create a scaling failure you only notice when growth makes it expensive.
What I Do
This is not generic DevOps consulting. I focus on the cost and scaling mistakes hidden inside fast-moving systems, especially the ones built quickly with AI, templates, or layered tools that nobody fully stress-tested.
Identify cost inefficiencies
Review AWS usage patterns to find idle capacity, mis-sized services, expensive architectural choices, and spend that is outpacing actual demand.
Analyze cost versus usage
Look past the monthly bill and connect cost to traffic, requests, users, concurrency, and system behavior so you can see what is actually driving it.
Find scaling bottlenecks early
Surface the failure points before they become outages, latency spikes, or rushed and expensive emergency fixes.
Why this matters
Most teams monitor uptime, latency, and the monthly cloud bill. Almost no one asks the harder question: why is AWS spend growing faster than revenue, traffic, or customer growth?
- Cost per request
- Cost per user
- Cost versus traffic growth
- Whether scaling remains efficient over time
Who this is for
- Startups scaling on AWS
- Larger companies struggling with skyrocketing AWS bills
- Teams seeing rising cloud costs
- Systems built quickly, including AI-assisted builds
- Companies unsure whether their architecture will hold at scale
Start Here
The first step is simple and low-friction. You do not need to buy a big consulting package to figure out whether there is a real problem.
Wedge Offer
Free 30-minute audit call
Bring your AWS bill, a simple architecture overview, and a rough sense of traffic or customer volume. I will point out where cost is likely leaking, what looks suspicious, and whether a deeper audit is worth doing.
If there is a meaningful problem, we can move into a paid deep dive. If there is not, you leave with clarity and next steps anyway.
What You Get In The Deep Dive
If the initial audit surfaces something real, the next step is a focused deep dive into the services, scaling behavior, and cost structure driving the problem.
Specific cost leaks
See which services, workloads, or architectural decisions are actually driving waste instead of getting a generic cost summary.
Scale failure scenarios
Understand what breaks at higher load, where the bottlenecks are, and whether cost is scaling linearly or starting to bend in the wrong direction.
Direct next steps
Get concrete recommendations you can hand to engineering instead of vague advice or dashboards you will never use.
Come To The Call With
You do not need a perfect packet of documentation, but a little context makes the first conversation much more useful and speeds up the audit.
Helpful info to bring
- Which cloud provider you use: AWS, GCP, or both
- Your rough monthly cloud bill and where it has been increasing
- How many customers, tenants, or active users the system supports
- Your current architecture at a high level
- Your main workloads: APIs, data pipelines, batch jobs, AI inference, internal tools, or customer-facing apps
- Any recent growth in traffic, data volume, or usage
Questions I will usually ask
- What parts of the AWS bill are growing the fastest?
- Which services are most expensive right now?
- What does a normal traffic day look like versus peak load?
- Where do you already suspect scaling or cost problems?
- Was the system built quickly, or changed rapidly over time?
- What would happen if traffic doubled in the next 6 to 12 months?
How It Works
The process is intentionally simple: align on the system, inspect the cost and scale behavior, then turn the findings into concrete next steps.
Book the free audit
Start with a 30-minute review of your AWS bill, architecture, and growth concerns.
Get the signal
I point out where the cost leaks or scaling risks likely are and whether a deeper audit is justified.
Do the deep dive
If the problem is real, I analyze the scaling behavior, bottlenecks, and cost structure in detail.
Keep me involved if useful
You can stop with the findings or keep me involved for ongoing architecture and cost guidance.
Your AWS bill should not grow faster than your business.
If your AWS bill keeps climbing and nobody can explain exactly why, start with the free audit. We will know quickly whether you have a real cost leak, a scaling problem, or both.