Visibility you can act on.
Spend broken down by team, product, environment and customer, in rupees, on one page each. People fix what they can see.
We bring visibility, optimisation and governance together in one managed FinOps practice. Every rupee gets an owner, waste is removed and kept out, and Savings Plans and reservations are bought only where they pay, without slowing your engineers down.
An example, drawn by us. Your bill review shows where yours stands.
The reality
Most teams we meet already struggled to say who spends what. Now model tokens, GPUs and new SaaS tools land on the same bill. Open a card to see what we do about each one.
Amazon Bedrock, Azure OpenAI and GPU spend climbs every month, and nobody can say which feature drives it.
We tag AI usage to each product and team, set quotas and alerts, and show the cost of each AI feature next to its usage.
Before funding more AI or more cloud, the board wants to see what the last rupee bought.
We report spend per customer, product or transaction, so you can show what each workload costs and earns.
The obvious idle servers were switched off last year. The bill is still going up.
We look deeper: storage tiers, data transfer, NAT gateways, licences, Kubernetes efficiency and commitment coverage.
The invoice shows one big number. Nobody knows which team, product or client it belongs to.
We set a tagging standard, enforce it with policies on AWS and Azure, and give every team its own view.
Budgets are missed and spikes are found at month-end, when the money is already spent.
Budgets per team and anomaly alerts flag unusual spend within days, with a named person to look at it.
Microsoft licences, marketplace purchases and SaaS tools all add up outside the cloud bill.
We bring Azure, AWS, Microsoft licences and marketplace spend into one view, and check what you can reuse or drop.
Why FinOps
A one-off clean-up saves money once. FinOps keeps saving, because engineering and finance look at the same numbers every month.
Spend broken down by team, product, environment and customer, in rupees, on one page each. People fix what they can see.
Changes are planned with engineers, tested first and reversible, so releases keep moving.
Budgets and forecasts built from real usage and planned changes, reviewed every month.
Showback or chargeback, so each team sees and owns what it spends.
Idle and oversized resources are caught every month, not once a year.
Engineers see the cost of what they build, so efficient choices become the default.
A cloud bill review shows spend by team, the waste we can see and the commitments that would pay.
Why FinOps fails
We’ve seen the same six problems undo savings at other companies. Here’s how we stop each one.
A monthly review catches new idle and oversized resources before they add up again.
One short view per team, in rupees, walked through with them every month.
Tag policies on AWS and Azure Policy enforce the standard, so new resources arrive tagged.
Savings Plans and reservations are bought in steps, and coverage and use are tracked every month.
Changes are tested on non-production first, made outside busy hours and can be reversed.
Both sit in the same monthly review, looking at the same numbers.
Savings that stay saved. Every change is logged with a way back, and every month you see what was saved and what changed.
Book a cloud bill reviewHow it works
The same method on AWS and Microsoft Azure, following the FinOps Foundation’s inform, optimise and operate phases.
We read your billing data and usage, with read-only access, and find what’s driving the bill.
An hour with whoever owns the bill and whoever runs the platform.
Nothing changes on your side. You keep the report either way.
We set up the basics that make every later saving visible and lasting.
Agree the tagging standard and name budget owners.
Policies start in audit mode, so nothing is blocked until you’re ready.
With the data in place, we act on the savings, starting with the safest and biggest.
Approve changes that affect your apps.
Changes are tested first, made outside busy hours and can be reversed.
Savings only last if teams own their numbers, so we put the rules and the reports in place.
Decide how costs are shared between teams.
Rules are agreed with you first, and can be changed at any time.
FinOps is a habit, not a project. We stay on and keep the bill in shape.
Join the monthly review and tell us what’s coming.
Everything is documented, so your team can run it without us.
What we cover
Five areas of cloud financial management on AWS and Microsoft Azure. Pick an area to see what’s included and the tools we use.
Every rupee tagged to a team, product or customer. We turn one big invoice into numbers each team can read and act on.
Pay for what you use, not what you guessed. We find what’s idle, oversized or on the wrong tier, fix it safely, and check again every month.
Lower rates for steady workloads, bought with care. Commitments save the most and waste the most. We buy in steps, only where usage is steady, and track every one.
No surprises at month-end. Budgets with owners, alerts that reach a person, and forecasts built on real usage.
An ongoing practice, not a one-off report. We run the monthly rhythm with you, so savings keep coming and new waste is caught early.
We pick tools for your setup and work with any cost tools you already use.
Proof
Stories from clients who agreed to be named, or asked us not to name them. Every figure is from the original case study.
AWS plus a separate MongoDB bill→Azure and Azure DocumentDB
Rising cost, limited visibility→Well-Architected aligned
A NAT gateway (about US$35 a month)→VPC endpoints and Aurora Serverless v2
Full stories are on our Resources page. The SMB client isn’t named on the original case study.

AWS Advanced Tier Services PartnerAlso: AWS Partner with SMB Competency

Microsoft Solutions Partner for Cloud and AI PlatformsAlso: Infrastructure (Azure)
Why DevOps TechLab
One FinOps team across AWS and Microsoft Azure, with the engineers who can make the changes.
Where this fits
Cost optimisation works best on a cloud that’s well run. These are the services that usually come before and after it.
Move to AWS or Azure in planned waves, with a cost comparison in rupees before you start.
Day-to-day running: monitoring, patching, backups, security and cost, by one team.
Visibility, savings and governance for your AWS and Azure bill, every month.
This page
AI built on your data, with costs planned and watched from day one.
FAQ
Straight answers on savings, risk, AWS and Azure, and how we work with your finance team. If yours isn’t here, ask us.
FinOps is the practice of making cloud spend visible, owned and optimised, with engineering and finance working from the same numbers. If your bill is growing faster than you can explain, or more than one team spends on cloud, you’ll benefit from it.
A clean-up saves money once, then waste creeps back. We set up tagging, budgets and a monthly review so savings last, and keep finding new ones.
A score for each area, such as visibility, allocation, waste, commitments, budgets and forecasting, with the gaps ranked and what to fix first. We repeat it each quarter so you can see progress.
It depends on where you start. Our clients have seen 25–35% lower AWS cost on one workload and a 36% lower monthly bill after moving from AWS to Azure. The bill review gives you estimates for your own setup before anything changes.
Quick wins such as idle resources and off-hours schedules usually show on the next bill. Commitments and rightsizing follow once we’ve watched real usage for long enough to buy safely.
They shouldn’t. Changes are tested on non-production first, made outside busy hours and can be reversed. We watch performance after every change.
Yes. One team covers AWS and Microsoft Azure, using each cloud’s own tools: Cost Explorer, Budgets and Savings Plans on AWS; Cost Management, Advisor and reservations on Azure.
Yes. We check where Azure Hybrid Benefit lets you reuse eligible Windows Server and SQL Server licences, and where licences can be dropped.
Sometimes. Gamerji cut its monthly bill by 36% by moving from AWS to Azure. We’ll compare honestly, and often optimising where you are is the better choice.
No. We work alongside finance and engineering, give both the same numbers, and run the monthly review with them.
We agree a tagging standard with your teams, enforce it with tag policies on AWS and Azure Policy, then report spend by team. Showback comes first; chargeback if you want it.
A monthly review with finance and engineering, new savings found and acted on, commitment tracking, budget and anomaly follow-up, and a report in rupees. Every quarter, an updated scorecard.
Not to start. The bill review needs read-only billing access. Making changes needs access you grant, can see and can remove at any time.
Yes. You can buy AWS or Microsoft Azure through us, billed in rupees on a GST invoice, alongside the FinOps service.
Cloud bill review
A FinOps engineer reviews your AWS or Azure billing data with read-only access and gives you a written savings report and scorecard. No obligation to work with us.