Job
enquiry:+91-9121642626Cloud cost optimization services: cut cloud spend without slowing your product
Tvisha is a cloud cost optimization company that finds where your AWS, Azure or Google Cloud bill is leaking, fixes what is safe to fix, and puts the controls in place so costs stay down - without compromising the performance your users rely on.
What is cloud cost optimization?
Cloud cost optimization is the practice of paying only for the cloud capacity you actually use - by finding wasted resources, right-sizing the rest, and buying what remains at a better price. Bills grow quietly: servers sized for a launch that never scaled down, test environments left running overnight, storage nobody remembers creating.
Our approach covers the full arc: auditing where the money goes, fixing what is safe to fix, redesigning what is structurally expensive, and putting budgets and alerts in place so the savings last - delivered by the same in-house team that builds and runs cloud applications.
See the spend · Remove the waste · Right-size the rest · Keep it under control
Get a Free Consultation
Tell us what you're looking for and we'll get back to you.
Prefer to talk it through?
Our team is a call away in both India and the USA.
Cloud cost optimization services, from first audit to ongoing control
Here is what we actually do, roughly in the order most engagements need it. Take the whole sequence for a full clean-up, or start with the one that matches where your bill hurts most.
Cloud Spend Audit & Visibility
A line-by-line look at where the money goes: by service, by team, by environment. You get a clear picture of what you pay for and a ranked list of savings, each with its estimated impact and effort.
Rightsizing & Idle Resource Cleanup
Matching instance and database sizes to what they actually use, and removing what nothing uses at all: idle servers, unattached disks, forgotten snapshots, and test environments that never switch off.
Pricing & Commitment Strategy
Pay less for the same capacity. We review on-demand versus reserved, savings-plan and committed-use options, and spot capacity for suitable workloads, so commitments match steady demand rather than guesses.
Storage & Data-Transfer Savings
Moving cold data to cheaper storage tiers, setting sensible retention rules, and cutting the cross-region and internet transfer charges that quietly inflate the bill.
Cost-Aware Architecture Optimization
When the design itself is expensive, tuning is not enough. We adapt architecture with autoscaling, containers on Docker and Kubernetes, and serverless where it fits, so capacity follows demand instead of sitting idle.
Cost Monitoring, Budgets & Alerts
Tagging so every cost has an owner, budgets per team or product, and alerts that fire when spend jumps, so a runaway service is caught in days rather than at the end of the month.
Multi-Cloud Cost Management
One view across AWS, Azure and Google Cloud. We compare like with like across providers, find duplicated services, and help you decide where each workload is cheapest and best placed to run.
Where cloud money usually goes to waste
Six usual suspects. If your bill has crept up, the cause is probably on this list.
Oversized Servers
Instances chosen for peak load that never arrived, running at a fraction of capacity.
Always-On Dev & Test
Non-production environments running nights and weekends when nobody is using them.
Orphaned Resources
Unattached disks, old snapshots, and idle load balancers still billing every month.
Expensive Storage
Rarely used data sitting on premium tiers, with no lifecycle rules to move it.
Data-Transfer Charges
Traffic crossing regions or leaving the cloud on every request, adding up unseen.
No Ownership or Tags
Costs no team can claim, so nobody is responsible for reducing them.
AWS, Azure and Google Cloud cost optimization
Every provider prices differently and hides its savings in different places. These are the levers we look at first on each one.
AWS cost optimization
The first places we look:
- Savings Plans and Reserved Instances for steady workloads
- Spot Instances for fault-tolerant jobs
- S3 storage classes and lifecycle rules
- Graviton (Arm) instances for better price-performance
- Cost Explorer and Compute Optimizer recommendations
Azure cost optimization
The first places we look:
- Reservations and Savings Plans for compute
- Azure Hybrid Benefit for existing Windows and SQL licences
- Auto-shutdown for dev and test virtual machines
- Blob Storage access tiers
- Azure Advisor cost recommendations
Google Cloud cost optimization
The first places we look:
- Committed use discounts for predictable demand
- Spot VMs for batch and fault-tolerant work
- Cloud Storage classes: Nearline, Coldline, Archive
- Recommender suggestions for rightsizing idle VMs
- Billing reports and budgets with alerts
A one-time clean-up saves money; ongoing control keeps it saved
Costs creep back as teams ship new features. The difference is whether anyone is watching.
- You want the biggest savings found and fixed quickly
- Your team can maintain the controls once they are in place
- The environment is fairly stable month to month
- You ship new services and features every sprint
- Usage is spiky and the bill surprises you month to month
- You want budgets, alerts and regular reviews handled for you
How a cloud cost optimization engagement runs
Safe savings first, structural changes second - each stage checked before the next begins.
-
01
Audit
Read-only review of billing and usage data to see exactly where the money goes.
-
02
Prioritise
A ranked plan: quick wins first, then larger changes, each with impact and effort.
-
03
Optimise
Changes tested and applied in stages, with performance targets protected throughout.
-
04
Govern
Tagging, budgets and alerts so savings hold as your product keeps growing.
The platforms and tools we work with
Provider-neutral advice, backed by hands-on delivery experience across the major clouds.
AWS
Microsoft Azure
Google Cloud
Docker
Kubernetes
GitHub Actions
Jenkins
CircleCI
Why teams trust Tvisha with their cloud costs
Cutting cloud spend safely takes people who have built and run cloud systems themselves.
Builders, not just auditors
We develop and run cloud applications, so we know which savings are safe and which are not.
Performance protected
Reliability and speed targets are agreed first; costs are cut within them, not at their expense.
Enterprise delivery discipline
20+ years and 500+ projects of software delivery experience sit behind every engagement.
A dedicated in-house team
100+ developers across two offices; the same engineers stay on your project throughout.
A cloud cost optimization company you can verify
A few plain facts about the team you would be working with.
Questions we get asked
The ones that come up on nearly every first call about cloud costs.
How much can we save on our cloud bill?
It depends on how the environment was built and how long it has been running. We do not promise a percentage up front. After the audit you get a list of specific savings, each with an estimated impact and effort, so you can decide what is worth doing.
Will cost optimization slow down or break our application?
It should not. We start with changes that carry no performance risk, such as removing unused resources, and test anything that touches live workloads before it ships. Performance and reliability targets are set first, then costs are trimmed within them.
Which cloud platforms do you work with?
AWS, Microsoft Azure and Google Cloud, including environments that span more than one provider.
Is this a one-time exercise or an ongoing service?
Either. A one-time audit and clean-up gives you the quick wins. Cloud costs drift back up as teams ship new features, so many clients add ongoing monitoring, budgets and alerts to keep spend under control.
Do you need access to our cloud accounts?
Yes, but only read-only access to billing and resource data for the audit. Any change to live resources is made through your own team or with your explicit approval.
What is FinOps, and do we need it?
FinOps is the practice of making cloud spending a shared responsibility between engineering, finance and business teams, with every cost visible and owned. You do not need a dedicated FinOps team to benefit: our ongoing service brings in the core habits, which are tagging, budgets, alerts and regular reviews.
Ready to see where your cloud money goes?
Tell us which cloud you run on and what your bill looks like, and we'll tell you honestly where we would start.
Whatsapp
Email
