I help companies identify and eliminate cloud waste — without touching the product roadmap, risking a minute of downtime, or pulling engineers off the sprint board.
No credit card. No commitment. 20 minutes.
If any of these sound familiar, we should talk:
Built for teams running workloads like these
Platforms processing reports, notifications, data sync, or scheduled tasks
ETL pipelines, data warehouses, or products that move and transform large datasets
High-request-volume APIs, developer platforms, or infrastructure-as-a-service products
Order management, inventory, payment processing — seasonal or always-on
Spending $20k–$150k/month on AWS · No dedicated FinOps hire
A productized engagement with a fixed scope, clear deliverables, and a money-back guarantee. Built for companies spending $20k–$150k/month on AWS.
Complete audit of your AWS account — every idle resource, orphaned storage, over-provisioned instance, and forgotten dev environment. Delivered in 5–10 business days.
Prioritised list of savings opportunities with exact dollar amounts, effort level, and risk rating. An engineer-ready version and a CFO-ready version — both included.
Every change goes through staging first with a documented rollback. I open pull requests — your engineer reviews and approves. You are always in control.
A live CloudWatch dashboard showing savings versus baseline. Your CFO sees the ROI in real time. Anomaly alerts configured so you never get a surprise bill again.
Zero Risk, Two Layers: The diagnostic is completely free — you see real findings before spending a penny. If you move to the full audit and I don't find at least 2× my fee in monthly savings, I refund 100%. No questions asked.
Three steps. Your team spends less than 3 hours total.
Book via Calendly — you'll answer 5 short questions about your workload and spend (takes 2 minutes). This lets me come prepared with the right lens for your setup. On the call we review your AWS spend live. You leave with 2–3 specific findings regardless of whether we work together. No pitch. No obligation.
Free · 20 minutes · Your time: 20 min + 2 min intakeI get read-only access to your AWS account. Over 10 business days I identify every leak — compute waste, egress costs, Reserved Instance gaps, application-layer drivers — and quantify each one in dollars.
Paid · 10 business days · Your time: 1 hourI implement every Quick Win and Sprint Item via pull requests. Staged through non-production first. Full rollback procedure on every change. You review, approve, and watch the bill go down.
Paid · 4–6 weeks · Your time: PR reviews onlyMost FinOps consultants look at the infrastructure layer and stop there. I trace costs back through the application — your job processing queue, your caching strategy, how your API layer drives compute — because that's where the real money is hiding.
A software company spending $60,000/month on AWS. Bill had grown 40% in 6 months despite flat user growth. Engineering had no visibility into which service was driving the increase.
* Details anonymised. Available for verification on request.
"We were burning through $18,000/month on AWS and had no idea where it was going. After the audit we found over-provisioned EKS node groups, unattached EBS volumes, and two forgotten RDS instances for a deprecated service. Within 6 weeks our bill dropped to $11,400. The best part? Nothing broke. It finally feels like we're in control."
"Our CFO flagged AWS costs during due diligence — investors were asking why infrastructure spend was growing faster than revenue. The engagement gave us Reserved Instance purchases, right-sized ElastiCache clusters, and Spot Instances for batch jobs. We now have a cost dashboard our CFO checks every Monday. That changed how finance and engineering talk to each other."
"We'd over-provisioned everything in the name of compliance — Multi-AZ on staging, 35-day RDS snapshots, production-grade instances in dev. The audit showed our non-production environments were costing nearly as much as production. Turns out compliance and cost efficiency aren't mutually exclusive. We cut $15K/month without touching a single production safeguard."
"Our data engineers built pipelines fast — cost was never a constraint. Three years in, we had terabytes of raw data in S3 Standard, Glue jobs allocated at 10x what they needed, and cross-region replication nobody had requested. The audit paid for itself in the first month. We now have lifecycle policies, right-sized DPUs, and a cost gate in our pipeline deployment checklist."
"We were burning through $18,000/month on AWS and had no idea where it was going. After the audit we found over-provisioned EKS node groups, unattached EBS volumes, and two forgotten RDS instances for a deprecated service. Within 6 weeks our bill dropped to $11,400. The best part? Nothing broke. It finally feels like we're in control."
"Our CFO flagged AWS costs during due diligence — investors were asking why infrastructure spend was growing faster than revenue. The engagement gave us Reserved Instance purchases, right-sized ElastiCache clusters, and Spot Instances for batch jobs. We now have a cost dashboard our CFO checks every Monday. That changed how finance and engineering talk to each other."
"We'd over-provisioned everything in the name of compliance — Multi-AZ on staging, 35-day RDS snapshots, production-grade instances in dev. The audit showed our non-production environments were costing nearly as much as production. Turns out compliance and cost efficiency aren't mutually exclusive. We cut $15K/month without touching a single production safeguard."
"Our data engineers built pipelines fast — cost was never a constraint. Three years in, we had terabytes of raw data in S3 Standard, Glue jobs allocated at 10x what they needed, and cross-region replication nobody had requested. The audit paid for itself in the first month. We now have lifecycle policies, right-sized DPUs, and a cost gate in our pipeline deployment checklist."
I've spent 12 years as a Solutions Architect and DevOps Engineer building and scaling cloud infrastructure across SaaS, retail, e-commerce, and data engineering. I've seen the same patterns repeat across every company I've worked with — infrastructure sized for a crisis that's long over, cost leaks buried in the application layer that no infrastructure tool can see, and engineering teams too focused on shipping to go back and clean it up.
I started SpendTamer because I know where the money is hiding — not just in the AWS console, but in job queues, caching layers, and background processing patterns. That application-layer context is what separates a savings roadmap that works from one that sits in a folder.
Start free. Audit at a fixed price. Implementation only if your bill goes down.
20 minutes. I review your AWS spend live and give you 2–3 specific findings. No pitch, no commitment.
Book Free Diagnostic →Complete audit of your AWS account. Every cost driver traced back to its root cause — delivered in 10 business days.
I implement everything from the audit via pull requests. You pay 25% of documented monthly savings for 6 months — nothing unless your bill goes down.
Example — $60k/month AWS account:
Prefer a fixed project fee? That option is available — ask during the diagnostic.
Savings drift back as your team ships new code. The retainer keeps them from creeping up again.
Not sure which step applies to you? The free diagnostic takes 20 minutes and tells you exactly where you are.
Free · 20 minutes · No obligation
When you book the free diagnostic via Calendly, you'll see 5 short questions: your approximate AWS monthly spend, your traffic pattern (steady / business hours / spiky / batch), your primary workload type (web app, data platform, API-first, e-commerce), any significant changes in the last 6 months, and what cost optimisation you've already done. The whole thing takes under 2 minutes. It means I come into the 20-minute call already knowing where to look — instead of spending the first 10 minutes asking basic questions.
Read-only access only — a single IAM role with Cost Explorer and CloudWatch read permissions. No write access, ever. I'll send you a 5-minute setup guide and your security team can verify the policy before we start.
Those tools give you data. I give you decisions and implementation. The real issue is that tools can't tell you why your RDS instance is that size, or why your worker fleet is running at 10% utilisation 22 hours a day. That requires someone who understands both the infrastructure and the application layer. That's the gap I fill.
They can — but the question is whether they will, and when. Most DevOps teams have this on a "someday" list that never becomes a sprint item because product features always win. My job is to remove it from their plate entirely: I do the work, they review and approve a pull request.
Yes — this is more common than you'd think, especially at leaner Series B teams or companies that have recently restructured. If there's no DevOps engineer to review changes, I adapt the working model: I can work directly with your CTO, a senior backend engineer, or whoever has infrastructure access. For lower-risk changes (lifecycle policies, tagging, reserved instance purchases), I can implement and document fully without requiring a technical reviewer. For higher-risk changes (instance resizing, Auto Scaling adjustments), I'll walk through the change live on a short call so the right person can approve with full context. The goal is the same — zero surprises, full transparency — regardless of your team structure.
Every change goes through staging first with a documented rollback procedure before it's applied to production. For teams with a DevOps engineer, changes go through pull request review. For teams without one, I walk through each change live before applying it so the right person approves with full context. Either way — you're always in control, every change is documented, and anything can be undone in under 5 minutes if needed.
Before we start, we agree on a 30-day baseline normalised for known usage growth. After implementation, we compare against that baseline. The methodology goes into the Statement of Work so there are no surprises. I've never had a client dispute the numbers using this approach.
Very little. Kickoff is 1 hour. Setting up the read-only IAM role takes your DevOps engineer about 10 minutes. During implementation, I open pull requests and your engineer spends roughly 15–30 minutes reviewing each one. The monthly retainer is a 30-minute check-in call plus reading a report. The engagement is designed around the assumption that your team's time is more valuable than mine.
Free 20-minute diagnostic. Read-only access. I'll show you exactly what I find — no pitch, no obligation.
Book a Free AWS Waste Diagnostic →Or email directly: mayur@spendtamer.com