Cloud Spend Audit & Waste Identification
We analyse your AWS, Azure or Google Cloud bill to uncover idle, oversized and orphaned resources costing you money.
- Spend audit
- Waste report
Cloud, DevOps & Infrastructure
Cloud Cost Optimization Services
We analyse your bills, right-size compute and storage, plan reservations and savings plans, and set up tagging and FinOps reporting so spend stays visible and under control.
- Spend analysis
- Right-sizing
- Reserved capacity
- Tagging & FinOps
- Years of delivery
- 8+
- Years of delivery
- Projects shipped
- 350+
- Projects shipped
- Clients across US, UK, AU & SG
- 200+
- Clients across US, UK, AU & SG
What’s included
Everything You Need to Cut Cloud Spend Without Slowing Down
We find waste, apply savings and put FinOps habits in place so lower cloud bills stay lower.
-
-
Cost Allocation, Tagging & Showback Setup
We tag resources by team, product and environment so every department sees what it spends and why.
- Tagging policy
- Showback reports
-
Right-Sizing Compute, Storage & Databases
We match instance types and storage tiers to real usage, reducing cost while keeping performance targets intact.
- Right-sizing plan
- Storage tiering
-
Reserved Instances, Savings Plans & Spot Strategy
We recommend commitments and Spot usage that fit your workloads, balancing discount depth against flexibility and risk.
- Commitment plan
- Spot strategy
-
Autoscaling & Scheduled Shutdown Automation
We automate scale-down and off-hours shutdown of non-production environments, so you stop paying for idle capacity.
- Scheduling scripts
- Autoscaling rules
-
Data Transfer & Architecture Cost Review
We examine egress, cross-region traffic and architecture choices that quietly inflate bills, then propose lower-cost designs.
- Architecture review
- Egress analysis
-
Budgets, Anomaly Alerts & FinOps Dashboards
We set budgets and anomaly alerts so spend spikes reach the right owner before the invoice arrives.
- Budget alerts
- FinOps dashboard
-
Ongoing FinOps Governance & Savings Reviews
We run monthly reviews and train your teams on cost-aware engineering, keeping savings in place as usage grows.
- Monthly review
- FinOps playbook
Need something specific?
Why Kramate
Why Business Owners Choose Kramate for Lower Cloud Bills
We look for waste first, and only suggest changes that will not hurt your business.
-
Fee Tied to What We Save You
Instead of
paying a consultant whether or not bills fall
With Kramate
We can agree a fee linked to the savings found, so we win only when you do.
-
Waste Found and Switched Off
Instead of: paying monthly for things nobody uses
With Kramate: We hunt for forgotten machines and files you pay for, and show each one to you.
-
Savings That Never Risk Your Customers
Instead of: cuts that slow down or break your site
With Kramate: We test any change first and never touch what your customers rely on.
-
A Warning Before the Bill Jumps
Instead of: finding out when the invoice arrives
With Kramate: We set alerts, so the right person hears about a spike while it is happening.
-
Savings That Stay Saved
Instead of: costs creeping back up in a few months
With Kramate: We check back each month and show your team how to keep the bill down.
Our approach
How We Run Your Cloud Cost Optimization, Step by Step
We find where your cloud bill is too high, cut the waste and set up controls to keep it down.
7 clear steps 7 deliverables you keep
-
Spend Review
We study your latest bills line by line to find unused, oversized and forgotten resources.
-
Savings Shortlist
We rank each saving by size, effort and risk so the easy wins come first.
-
Fitting Resources
We shrink or switch oversized servers and databases to a better fit after checking real use.
-
Discount Planning
We suggest long-term deals and cheaper spare capacity where they suit how you use the cloud.
-
Switch-Off Rules
We set up automatic shutdown of test systems at night and growth rules for busy times.
-
Spending Limits
We set budgets per team and alerts that warn you early when spending jumps.
-
Regular Savings Reviews
We meet regularly to review the bill again, since cloud costs creep back over time.
Tools & technologies
Technologies We Use for Cloud Cost Optimization
We use cost reporting and automation tools to find waste and keep spend under control.
- AWS: Amazon cloud hosting and services.
- Azure: Microsoft cloud hosting and services.
- Google Cloud: Google infrastructure for data, AI and applications.
- Infracost: Shows the cost impact of infrastructure changes before they go live.
- Kubecost: Shows what each Kubernetes team and app costs to run.
- Datadog: Monitors applications, infrastructure and logs in one place.
- Karpenter: Adds and removes Kubernetes servers automatically to match demand.
- Terraform: Defines cloud setups as code so they can be repeated.
- Python: Readable language for business logic, data and automation.
- Bash: Shell scripting that automates routine operations tasks.
- Grafana: Dashboards and alerts for live system metrics.
- Prometheus: Collects metrics to watch systems and model health.
- Jira: Tracks work, priorities and delivery progress.
Expert guide
Cloud Cost Optimization Services: A Complete Guide for Businesses
Cloud cost optimization services find and remove waste in your cloud spending while protecting performance and reliability. Bills grow because capacity is easy to create and easy to forget, so unused resources, oversized servers and untagged projects quietly accumulate.
A good engagement does more than a one-time cleanup. It gives each team visibility into its own spending and sets routines that stop the same waste returning. Effective cloud cost optimization services never trade away reliability for a smaller bill.
This guide explains the main cost drivers, the optimization levers, the FinOps operating model, the link to sustainability, regional considerations for the USA, UK, Australia and Singapore, and how to select a partner without paying for savings you could capture yourself.
Where cloud spending comes from
Before changing anything, understand what you pay for. Cloud bills are built from a handful of categories, and each has typical sources of waste.
- Compute: virtual machines, containers and functions, often oversized or running around the clock when needed only in office hours.
- Storage: old snapshots, abandoned volumes and data kept in the most expensive tier long after anyone reads it.
- Data transfer: traffic between regions, zones and out to the internet, which surprises teams that never modeled it.
- Managed services: databases, queues and analytics tools provisioned for peak and left there.
- Licenses and marketplace items: third-party software billed through the cloud account.
The AWS Prescriptive Guidance (opens in a new tab) library also contains cost-planning patterns. The pricing and billing documents of each provider, together with the cost pillars of the AWS (opens in a new tab), Azure (opens in a new tab) and Google Cloud (opens in a new tab) architecture frameworks, are the neutral references for how these categories work.
The main optimization levers
Cloud cost optimization services usually work through a sequence from easy and safe to more involved. Order matters: remove waste before you commit to long-term purchases, or you lock in the waste.
| Lever | What changes | Risk and effort |
|---|---|---|
| Delete idle resources | Remove unattached volumes, stale snapshots, unused addresses and abandoned environments | Low risk, quick, needs an owner check |
| Schedule non-production | Switch development and test systems off outside working hours | Low risk, needs team agreement |
| Right-size | Match instance and database sizes to measured usage | Moderate, needs performance monitoring |
| Use commitments | Commit to steady usage in exchange for lower rates | Financial risk if demand falls |
| Use spare capacity | Run interruptible workloads on discounted spare capacity | Workloads must tolerate interruption |
| Re-architect | Move to serverless, managed or more efficient designs | Highest effort, biggest lasting effect |
FinOps: making cost everyone’s job
FinOps is the practice of bringing engineering, finance and business teams together to manage cloud spending. The core habits are simple: tag resources by owner and purpose, show each team its own bill, forecast regularly and review anomalies quickly.
Accurate allocation is the foundation. When a team can see that its feature costs a certain share of the bill, trade-offs become visible and decisions improve. Without it, cloud cost remains an abstract shared problem that nobody owns.
Track cost against value, such as spend per customer or per transaction, not spend alone. A rising bill that tracks growing revenue is healthy.
Cost, energy and carbon go together
Cutting idle and oversized capacity usually reduces energy use as well as spend, a link the Green Software Foundation (opens in a new tab) highlights. Right-sizing, shutting down unused environments, using efficient processor families and moving flexible batch jobs to cleaner regions or times all appear in the Principles of Green Software Engineering (opens in a new tab).
Be careful with region choice: a cleaner region may cost more or add latency and data-residency problems, so weigh all three.
Industry use cases
- SaaS: a company tags every resource by customer tier and discovers one free-tier feature drives disproportionate database load.
- Media and gaming: a studio schedules large rendering and test workloads onto interruptible capacity.
- Education technology: a platform scales down outside term time and recovers capacity in advance of enrollment peaks.
- Analytics firms: a team moves rarely queried data to cheaper storage tiers with lifecycle rules.
These are illustrative examples, not Kramate client results.
Regional considerations: USA, UK, Australia and Singapore
Cloud rates and available services differ by region, and moving data to a cheaper region is not always permitted. Confirm with legal counsel before relocating anything containing personal information.
- USA: multi-account structures and department-level showback are common; state and sector privacy laws may restrict where certain data lives.
- UK: UK GDPR affects data transfers, and invoices and tax treatment may involve VAT and sterling billing.
- Australia: the Privacy Act 1988 affects overseas disclosure, and local currency billing exposes you to exchange-rate changes.
- Singapore: PDPA transfer rules apply, and nearby regions give low latency to Asia-Pacific customers.
Currency and exchange rates can move a bill even when usage does not, so forecast with that in mind.
Engagement models for cloud cost optimization services
Providers structure these engagements differently, so compare what is actually included. Common models are:
- Fixed-price audit: a time-boxed review with a prioritized list of savings and who should act on each.
- Audit plus implementation: the partner makes the changes, which is useful when your team has no spare capacity.
- Ongoing FinOps support: monthly reviews, forecasting and anomaly response on a dedicated or hourly basis.
Be wary of fees tied purely to a share of savings if the partner can also influence the baseline. Whatever the model, agree how savings will be measured before work starts, using the same billing data both sides can see. The NIST definition of cloud computing (opens in a new tab) is a handy reference for the metered, on-demand nature that makes costs variable.
How to choose cloud cost optimization services
- Independence. They should not profit from you using more cloud.
- Engineering ability, not only billing analysis, so recommendations are safe to apply.
- Clear measurement of savings, using your billing data.
- Knowledge transfer so tagging and reviews continue after they leave.
- Reliability awareness. Ask how they protect performance during right-sizing.
- Multi-provider fluency if you use more than one cloud.
How Kramate delivers cloud cost work
Our cloud cost optimization services are coordinated by a dedicated project manager, sharing daily Slack or Teams updates and a progress review at the end of each two-week round. We sign an NDA before detailed discussions and hand over every script, report and policy as your property. Start with a free consultation and receive a detailed estimate within 24 hours. See how we structure delivery. If you are earlier in the journey, our cloud consulting services cover planning, and cloud migration services help avoid costly designs from the start.
Frequently asked questions
How do I reduce my cloud costs?
Start with visibility: tag resources and review the bill by service and owner. Then delete idle resources, schedule non-production systems, right-size using usage data, and only afterwards make commitments for steady workloads.
What is FinOps?
FinOps is a cultural and operating practice where engineering, finance and business teams share responsibility for cloud spending. It covers cost allocation, forecasting, optimization and regular reviews, aiming at value for money rather than the lowest bill.
Why is my cloud bill so high?
Common causes are oversized or always-on resources, forgotten test environments, old snapshots, expensive storage tiers, heavy data transfer and managed services sized for peak load. A tagged cost report usually reveals which one dominates.
Should I buy commitments before right-sizing?
No. Commitments lock in a rate for steady usage, so make them after you remove waste and know your baseline. Otherwise you may commit to capacity you did not need.
Is cloud cost optimization a one-time project?
It should not be. Usage changes constantly, so savings fade without clear ownership. Regular reviews, budgets, tagging rules and anomaly alerts keep waste from returning, and each team should see its own spending trend every month.
Can cost optimization hurt performance?
It can if changes ignore real usage patterns. Reduce risk by monitoring before and after each change, making one change at a time, and keeping a rollback path. See our Kubernetes consulting page for container-specific right-sizing.
Sources and further reading
- AWS Well-Architected Framework (opens in a new tab)Amazon Web Services
- Microsoft Azure Well-Architected Framework (opens in a new tab)Microsoft
- Google Cloud Well-Architected Framework (opens in a new tab)Google Cloud
- Principles of Green Software Engineering (opens in a new tab)Green Software Foundation
- Green Software Foundation (opens in a new tab)Green Software Foundation
- NIST Definition of Cloud Computing (opens in a new tab)NIST
- AWS Prescriptive Guidance (opens in a new tab)Amazon Web Services
FAQ
Frequently asked questions
Fees depend on how many cloud accounts and providers we review, the size and complexity of your usage, and whether you want a one-time review or ongoing FinOps support. Implementing changes ourselves costs more than handing you a report. Send us your cost optimisation scope and a no-obligation estimate follows within 24 hours.
We start by getting read-only billing and usage access, then analyse waste, rank opportunities, and apply agreed changes in safe stages. Duration depends on the number of accounts, data quality, tagging and how quickly your teams approve changes. Ongoing FinOps reviews can follow once the first round is done.
You keep them. Before detailed cost optimisation talks, Kramate signs an NDA and transfers IP and deliverables to you. Your billing data stays in your accounts, and any dashboards, scripts and policies we create are handed over. We ask only for the minimum access needed for the review.
Yes. Cost changes touch production, so we plan them with your engineers and use your change process. We share findings in your ticketing tool, explain the reasoning and let your team approve each action. This builds cost awareness among the people who create the spend.
Typical sources are oversized servers, idle resources, unattached storage, forgotten test environments, poor data tiering and on-demand pricing for steady workloads. Missing tags make it hard to see who owns what. We look for these patterns first because they can be fixed with low risk.
FinOps is a practice where finance, engineering and product share responsibility for cloud spend. You need it if bills are growing faster than the business or nobody owns cost. It starts small: tagging, budgets, regular reviews and clear owners. We help set up those habits.
We compare spend against a baseline, adjusted for usage growth, and track unit cost such as cost per customer or per transaction. Coverage of tags and budget alerts are other signs. We do not promise a savings figure, since it depends on your starting point, but we show our working.
Taking new projects
Let’s talk about your Cloud Cost Optimization Services needs
Tell us about your project and get a free consultation and estimate within 24 hours.
- We reply within 4 business hours A real consultant reads your brief — no bot, no queue.
- 30-minute discovery call We dig into goals, constraints and budget. NDA signed on request.
- Proposal in 24 hours Scope, timeline, team and price — clear enough to decide on.
NDA on request You own the IP No obligation Free estimate