Oversized servers
Instances and databases picked for peak traffic at launch and never resized, using only a small part of their capacity all month.
Taking on new projects · We reply within 24 hours on business days
Cloud cost optimization for AWS, Google Cloud & Azure
Reduce your cloud bill without hurting performance. Most cloud bills carry waste: oversized servers, full on-demand prices and resources nobody uses. We find it, fix it and keep it from coming back, without slowing your product down.
Where the money goes
The same six patterns show up in almost every account we review.
Instances and databases picked for peak traffic at launch and never resized, using only a small part of their capacity all month.
Steady 24/7 workloads billed at pay-as-you-go rates instead of commitment discounts.
Idle VMs, unattached disks, old snapshots, unused IPs and test environments that nobody switched off.
Logs, backups and old uploads kept in premium storage forever, with no lifecycle rules.
Cross-zone and internet egress charges, often from serving files without a CDN or chatty services across regions.
No tags, no budgets and no alerts, so nobody sees the bill until finance asks about it.
Our approach
We pick the practices that fit your workload and your traffic. Not every setup needs all of them.
Match instance, database and container sizes to real usage data, not guesses.
Find and remove unused VMs, disks, snapshots, load balancers and IP addresses.
Consolidate services that run on separate servers into containers on a shared, autoscaling cluster.
Scale up at peak and down off-peak, and switch dev and staging off at night and on weekends.
Reserved Instances, Savings Plans and committed use discounts, only for workloads that run steadily.
Run batch jobs, CI runners and fault-tolerant workers on spot or preemptible capacity.
Move cold data to cheaper storage tiers automatically and expire what you do not need.
Cache at the edge, keep traffic in one zone where possible, and reduce egress.
Fix slow queries, add caching, right-size replicas and pick the right storage type.
Tagging, budgets, anomaly alerts and a regular review, so new waste is caught early.
Every major cloud
We work with each provider's own cost tools and discount programmes, so nothing extra to buy or install.
Example
An anonymised example of the kind of work we do. Client names and figures stay confidential.
The product ran on several VPS servers, each set up and running separately. Every server had to be sized and paid for on its own, whether it was busy or idle.
We moved the services off the separate servers into containers on one Kubernetes cluster, so they share capacity instead of each needing a server of its own.
We set up autoscaling so the cluster scales up when traffic peaks and back down again off-peak.
Capacity now follows real demand, so you pay for what you use rather than for servers sitting idle, and the services are managed in one place.
How it works
Read-only access to your billing and usage data. We review 30–90 days of spend across accounts, projects and subscriptions.
A prioritised list of changes with estimated savings, effort and risk for each, in plain language.
We make the changes with your team: quick wins first, then architecture work, all tested and reversible.
Budgets, anomaly alerts and dashboards, so you see the effect on every bill.
A regular FinOps review to catch new waste and renew commitments at the right size.
Ways to work together
Every engagement starts with the free audit. You decide what happens next.
A full review of your bill and architecture, with a written savings report you can act on yourself.
We audit, then make the changes for you and hand back a cheaper, documented setup.
Monthly cost reviews, alerts and managed support so the bill stays down as you grow.
Who does the work
Prakash Tank leads every cloud engagement personally.
Enterprise E-Commerce
Laravel · MySQL · Redis · AWS
Multi-Vendor Commerce Marketplace
Laravel · MySQL · Redis · AWS S3 · Queue workers
B2B/B2C Loan Portal
Laravel · MySQL · Redis · REST APIs · AWS S3
Diagnostic Lab Reporting Portal
Laravel · PostgreSQL · AWS S3 · Queues
FastAPI Document OCR Gateway
FastAPI · PostgreSQL · Redis · S3 · Docker
Django + Celery Report Factory
Django · Celery · Redis · S3 · Docker
FAQ
Savings, access, risk, providers and Kubernetes.
Let's talk
Tell us which cloud you use and roughly what you spend each month. We will reply within 24 hours with next steps for a read-only audit.
We reply within 24 hours
A real person reads your message and replies on the next business day at the latest.
Free 30-minute call
We talk through your goals, users, and budget, and answer every question.
Proposal & fixed quote
You get a written scope, timeline, and price. No obligation.
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