We help businesses reduce cloud costs through FinOps engineering, workload optimization, resource right-sizing, and continuous cost monitoring. Our cloud cost optimization services focus on eliminating waste, improving efficiency, and maximizing the value of your cloud infrastructure without affecting performance.
Trusted & Certified
Cloud bills add up fast. Most businesses are overpaying without realizing it. A proper cloud cost optimization service does not start with a pitch. It starts with a question: where is the money actually going? That means reviewing your workloads, storage, and data transfer. No assumptions. Just a clear picture of what you are paying for and what you are not using.
The best partners do not stop at the audit. They implement the changes, cut idle resources, and build cost accountability into how your team operates. That is what a real cloud assessment and cost optimization services partner looks like. One that stays until the problem is solved.
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
ISO 27001 · Certified
SOC 2 Type II · Compliant
Deloitte Fast 50 · Awarded
ERC-3643 · Compatible
KYC / AML · Integrated
MiCA-Ready · EU Compliant
VARA · UAE Licensed
OpenAI Partner · Certified
ROI & Value
Benchmarks observed across comparable engagements.
12 wks
12/day
18 min
99.95%
32%
74
Single accountable pod vs 4-6 separate vendors
$240K-$640K / year
Senior pod, fewer handoffs, less rework
30-60%
Right-sized architecture and tooling
20-40%
Pre-flight legal & security review on every release
$100K-$10M+
Case Study
Series C SaaS
B2B SaaS
The Challenge
The company was burning $640K every month on AWS with nothing to show for the discipline. No reserved instance coverage, no right-sizing, idle resources running unchecked, and zero visibility into where the money was actually going. No FinOps tooling, no cost attribution, no forecasting.
Our Solution
We ran a 10-week FinOps program from the ground up. That meant a full infrastructure audit, right-sizing across EC2, RDS, and EKS, and locking in 3-year Compute Savings Plans. Idle resources were eliminated, S3 was tiered into IA and Glacier, and Karpenter was brought in to handle EKS node scaling. Vantage was set up for ongoing visibility and cost attribution.
From $640K (-38%)
Recurring
From 0%
One-time
Karpenter + right-sizing
Vantage + custom
Comparison
Compare Ment Tech's cloud cost optimization engagement with DIY audits, generic FinOps tools, and big-4 consulting firms to see where each option fits. This section helps engineering and finance teams understand why a structured optimization program delivers faster savings, cleaner cost attribution, and better long-term AWS spend control.
Our Recommendation
For production engineering targeting reliability and security, a single accountable senior pod outperforms vendor-stack and DIY on every dimension that compounds.
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We help businesses reduce unnecessary AWS spending through data-driven optimization strategies. Our experts improve resource efficiency, implement FinOps best practices, and ensure long-term cost control without affecting performance.
We analyze your AWS environment to identify unnecessary spending, unused resources, and opportunities to improve cost efficiency.
Optimize EC2 instances, remove idle resources, and fine-tune Auto Scaling to lower compute costs without impacting performance.
Reduce long-term cloud expenses by selecting the right Savings Plans and Reserved Instances based on your actual workload usage.
Improve Kubernetes efficiency with node rightsizing, autoscaling, and better resource allocation to maximize cluster utilization.
Optimize Amazon S3, EBS, and RDS storage using lifecycle policies, storage tiering, and snapshot cleanup to reduce storage costs.
Implement cost dashboards, resource tagging, budget alerts, and spend monitoring to improve visibility and control over AWS costs.
Continuously monitor your cloud environment, identify new cost-saving opportunities, and optimize infrastructure as your business scales.
The problem is rarely the technology. It is how the engagement is structured, who owns it, and whether outcomes are tied to anything measurable. These are the patterns that repeat.
Teams jump into right-sizing and commitment purchases without a full audit. Savings get claimed on paper. The actual bill barely moves.
Reserved Instances and Savings Plans locked in before usage patterns are understood. You end up over-committed in regions you are scaling down and uncovered where you are growing.
Without team-level tagging and a proper cost-conscious network path optimization cloud services review 2020 framework, no one knows which product, team, or environment is responsible for the spike. Finance chases engineering. Engineering shrugs.
FinOps platforms like Vantage or CloudHealth get configured and then ignored. No one owns the weekly review. Anomalies go undetected for billing cycles.
S3 access patterns were never reviewed. Data transfer costs never mapped. These two line items routinely account for 20 to 35 percent of preventable waste at scale.
One-time audits produce a report. The report sits in Notion. Three quarters later the bill is back where it started.
Cloud cost optimization is not a one-time task. It needs the right strategy, continuous monitoring, and regular improvements. Every engagement focuses on reducing cloud costs while keeping workloads secure, reliable, and high performing.
Get a clear view of cloud spending across AWS, Azure, and Google Cloud. Identify unused resources, high-cost services, and spending patterns across environments.
Optimize compute resources, storage, databases, and workloads. Remove idle assets and improve resource usage without affecting performance.
Set up budgets, tagging standards, cost policies, and spending reports. Build better cost control and improve financial visibility across teams.
Automate cost checks, monitor cloud usage, and detect unusual spending early. Reduce waste and maintain long-term cost efficiency.
Receive detailed reports, savings insights, and a clear roadmap for continuous optimization. Track progress and make informed decisions as cloud environments grow.
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Technical Architecture
A four-layer delivery model covering infrastructure audit, commitment strategy, resource execution, and ongoing cost governance, each layer owned, measured, and reviewed on a fixed weekly cycle.
Tooling we configure, operate and report from.
Cloud & Platforms
AWS
GCP
Azure
Cloudflare
Vercel
Kubernetes EKS/GKE/AKS
Docker
Terraform
Data & Messaging
PostgreSQL
MySQL
MongoDB
Redis
Snowflake
BigQuery
Kafka
Elasticsearch
DynamoDB
ClickHouse
Languages & Frameworks
TypeScript / Node.jsPython / FastAPIGoRustJava / Spring BootKotlinSwiftNext.jsReact NativeFlutterDevOps & Observability
Six structured phases, clear deliverables, and a review gate at every stage so nothing moves forward until the previous layer is verified.
Every resource across EC2, RDS, EKS, S3, and network layers is inventoried, tagged, and mapped to a team or product.
Idle instances, orphaned volumes, and untagged spend are flagged with estimated savings attached to each finding.
Usage patterns are modeled before any Reserved Instance or Savings Plan is purchased, which is what separates best cloud cost optimization services from a generic commitment buy.
Right-sizing, idle elimination, storage tiering, and EKS node optimization executed concurrently by a senior pod.
Vantage or equivalent deployed with team-level tagging, anomaly alerts, and a cost attribution model finance and engineering can both use.
Weekly review cycles, a live cost dashboard, and a documented playbook. Your team owns the process at close, using cloud cost optimization consulting services that do not require a recurring retainer to hold the gains.
Every cloud cost optimization engagement is scoped with compliance in mind. Whether your workload falls under SOC 2, ISO 27001, GDPR, HIPAA, or PCI DSS, the audit, execution, and governance layers are structured to stay within the boundaries those frameworks require.
United States
European Union
United Kingdom
Singapore
UAE
Switzerland
Hong Kong
Australia
Canada
Japan
SOC 2 Type II
Security, availability, confidentiality controls
ISO 27001
Information security management system
GDPR / UK GDPR
EU/UK data protection regulation
HIPAA
US healthcare data protection
PCI DSS
Payment card industry security
OWASP ASVS
Application security verification standard
NIST CSF
Cybersecurity framework
CIS Benchmarks
Secure configuration baselines
Security is not a final check. It runs alongside every phase of the engagement, from the initial audit through to governance handoff.
Independent security audit partner
Penetration testing partner
Red-team & continuous offensive testing
Smart-contract & infra audits
Web & cloud security audits
Crowd-sourced vulnerability program
SOC 2 Aligned
ISO 27001 Ready
GDPR Compliant
CCPA Compliant
Enterprise-Grade Security
Bank-level encryption and compliance standards.
256-bit AES Encryption
99.99% Uptime SLA
24/7 Monitoring
SaaS companies scaling past $500K per month on AWS with no RI coverage and no cost attribution. Average reduction of 38 percent with no impact on performance.
Large enterprises running sprawling multi-account setups with no chargeback model. Engagements at this scale have delivered over $2M in annual savings with full chargeback visibility live at close.
Teams running EKS or self-managed Kubernetes with oversized node groups and no bin-packing discipline. Average 42 percent reduction in K8s costs after Karpenter configuration and right-sizing.
Snowflake and BigQuery environments where compute costs scale faster than the data team expects. Average 32 percent reduction through query optimization and warehouse right-sizing.
Workloads with large volumes of infrequently accessed data sitting in standard S3 tiers. Average 60 percent storage cost reduction after IA and Glacier migration.
Architectures generating significant data transfer costs with no VPC endpoint strategy. Average 48 percent egress reduction after routing and endpoint optimization.
Custom Development Pricing
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Three engagement shapes scoped to where you are.
Cloud Cost Optimization Sprint
Time-boxed senior engagement with a single accountable lead.
Teams shipping the first version
Cloud Cost Optimization Retainer
Monthly retainer with reserved senior capacity.
Teams with continuous roadmaps
Cloud Cost Optimization Advisory
Senior advisory and architecture pod without execution scope.
Teams with internal engineering or growth
What's Included in Every Engagement
FAQ
It covers the full scope, from infrastructure audit and right-sizing to commitment strategy, storage tiering, EKS optimization, FinOps tooling setup, and ongoing governance. Nothing is handed off to a junior resource mid-engagement.
The standard program runs 10 weeks. Discovery and audit happen in the first two weeks, execution runs through weeks three to eight, and governance handoff closes out the final two weeks.
It depends on your starting point. SaaS companies past $500K per month have seen 38 percent reductions on average. Kubernetes-heavy workloads average 42 percent. Storage and egress savings can go higher. The baseline audit in week one gives you an honest projection before any commitments are made.
No. Commitment purchases happen in phase three, after usage patterns are fully modeled. Buying before that is one of the most common reasons savings plans underperform. This applies equally to teams scaling infrastructure as a custom mobile app development company where cloud spend can spike fast without a clear commitment strategy.
No changes are made to production resources without a documented review and sign-off. Every execution step is logged and tied to a rollback plan.
Vantage is the primary tool for most engagements. We also work with CloudHealth, Spot.io, and native AWS Cost Explorer depending on your existing setup. Teams building backend infrastructure through API development services will find the same tooling stack applies cleanly.
You leave with a live cost dashboard, a governance playbook, and team-level tagging in place. The goal is that your team owns the process at close without needing a retainer to maintain the results.
The core methodology applies to GCP and Azure as well. The tooling and commitment structures differ, but the audit, right-sizing, and governance layers transfer across providers. This includes teams coming from an IoT development company
background, where device-generated data creates unpredictable cloud cost spikes.
Yes, particularly those that have moved past initial infrastructure setup. Teams that launched on a launchpad development company stack often hit cost inefficiencies as they scale, and are a good fit for an early-stage audit engagement.
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Book a 30-minute strategy call. We'll diagnose your current state and propose a Cloud Cost Optimization engagement scoped to your timeline and budget.