Spend visibility & control
Cloud cost optimization& FinOps
Cost audits, rightsizing, commitment planning and clear cost allocation — so every team can see what it spends and why, and engineering decisions include cost.
Built with
Swipe to explore
Platforms & tools
AWS
Microsoft Azure
Google Cloud
AWS Cost Explorer
Azure Cost Management + Billing- Google Cloud Billing
AWS Budgets
Azure Advisor
AWS Compute Optimizer
Azure Virtual Machines
Amazon EC2
Azure SQL Database
Amazon RDS
Azure Blob Storage
Amazon S3
Azure Kubernetes Service
Kubernetes
Google Cloud Storage
Overview
Cloud Cost Optimization & FinOps
We help teams understand, control and reduce cloud spend across AWS, Microsoft Azure and Google Cloud — combining engineering changes with FinOps practices so cost becomes visible, owned and predictable.
The problem we solve
Cloud bills grow faster than usage. Idle resources, oversized instances, unused commitments and untagged spend make it hard to know who is spending what — or what can safely be cut.
How we work
We start with a cost audit across your AWS, Azure or GCP accounts, rank savings opportunities by effort and risk, implement the engineering changes with your team, then set up tagging, budgets and reporting so savings last.
What you get
A clear picture of where your cloud money goes, a prioritised list of savings implemented safely, cost ownership by team and the habits and tooling to keep spend predictable.
Every dollar, accounted for.
Spend against budget, savings opportunities, commitment coverage and cost by team across AWS, Azure and Google Cloud. This is an interactive sample with demo data.
Cost Lens
finops / monthly-overview
MTD spend
▼ 8.2%$128.4k
EOM forecast
▼ 6.4%$139.6k
Identified savings
▲ 14.2%$18.6k/mo
Cost / 1k requests
▼ 11.3%$0.042
Spend vs forecast vs budget ($k / month)
ActualForecastBudget$139.6k
forecast vs $152k budget▼ 8.2%Spend by provider
$128.4k
MTD
- AWS61%
- Azure26%
- GCP13%
14 AWS accounts · 6 Azure subs · 4 GCP projects
Savings opportunities
2/6 applied- AWSRightsize 18 EC2 instancesm5.2xlarge → m7g.xlarge · p95 cpu 22%$4.2k/mo applied
- AWSStop idle RDS dev instances7 instances · 0 connections in 14d$2.1k/mo applied
- AWSDelete unattached EBS volumes46 volumes · 9.2 TB gp2$1.3k/moin review
- AZAzure reservations · D-series1-yr RI · steady-state baseline$3.4k/moin review
- GCPGCS lifecycle → Nearlinecold buckets · last read > 60d$0.9k/moin review
- AWSCompute Savings Plan top-upcoverage 62% → 78% target$6.7k/moin review
Commitment coverage
72%
covered
Utilization96.4%
Target78%
Expiring ≤ 30d2 RIs
- AWS Savings Plans76%
- Azure reservations64%
- GCP committed use58%
Showback · tag compliance
92% allocated- Platform$41.2k97% tagged
- Payments$28.6k94% tagged
- Data & ML$33.9k88% tagged
- Growth$14.8k91% tagged
- Shared / unallocated$9.9k62% tagged
required tags: team · env · cost-center · owner
Top services ($k MTD)
▼ 4.1%EC2$34.0k
EKS$22.0k
RDS$18.0k
S3$11.0k
Cost anomalies
What's included
Engineering changes and FinOps practices that make cloud spend visible and controllable.
Cloud cost audit
A structured review of usage, pricing and architecture across accounts, subscriptions and projects.
Native billing & cost tools
AWS Billing and Cost Explorer, Azure Cost Management + Billing and Google Cloud Billing set up with cost exports, budgets, alerts and views per team.
AWS, Azure & GCP optimization
Provider-specific recommendations for compute, storage, databases, networking and managed services.
Rightsizing & idle cleanup
Matching instance and database sizes to real usage and removing idle or orphaned resources.
Commitments & pricing models
Savings Plans, reserved capacity, committed-use discounts and spot capacity where they fit.
Kubernetes cost visibility
Cost per namespace, workload and team, plus requests and limits tuned to actual consumption.
Tagging, allocation & showback
Tagging policies and cost allocation so each team and product sees its own spend.
Budgets, forecasts & anomaly alerts
Budgets and forecasts per team, with alerts when spend moves unexpectedly.
FinOps practice setup
Regular cost reviews, ownership and reporting that bring engineering, finance and leadership together.
Where teams usually start
Common ways teams work with us on cloud costs.
One-time cost audit
A clear report of current spend, waste and prioritised savings opportunities.
Rightsizing programme
Working through compute, database and storage sizing with your engineers, safely and in stages.
Commitment planning
Choosing the right mix of Savings Plans, reservations and on-demand capacity for your usage.
Cost allocation & showback
Tagging and reporting so every team can see and own its cloud spend.
Kubernetes cost control
Per-workload cost visibility and tuned resource requests across clusters.
FinOps operating rhythm
Monthly cost reviews, budgets and forecasts that become part of how teams work.
FAQ
Questions about Cost Optimization & FinOps
- How much can we save on our cloud bill?
- It depends on your current setup. A cost audit shows where the opportunities are and their likely impact before you commit to any changes — we don't promise a fixed percentage.
- Will cost optimization affect performance or reliability?
- Changes are tested and rolled out in stages, with performance monitored throughout. Reliability-critical workloads are sized for headroom, not just the lowest cost.
- Do you work with Azure Cost Management + Billing?
- Yes. We configure Azure Cost Management + Billing — scopes, cost exports, budgets, alerts and cost analysis views — alongside AWS Billing and Cost Explorer and Google Cloud Billing for multi-cloud teams.
- What is FinOps?
- FinOps is a practice that brings engineering, finance and business teams together to manage cloud spend — through visibility, ownership, budgets and regular review.
Ready to understand your cloud bill?
Share which clouds you use and roughly what you spend. We'll suggest where a cost audit should start.
Discuss your cloud costs