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.
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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Every service Ment Tech delivers is scoped to a measurable outcome, owned by a senior operator, and reviewed weekly against real cost data.
Every EC2, RDS, EKS, and S3 resource mapped, tagged, and assessed before any changes are made.
Oversized instances brought down to spec. Idle resources switched off. No guesswork, no blanket cuts.
3-year and 1-year commitment coverage modeled against your actual usage patterns to lock in the lowest effective rate.
S3 buckets moved to IA and Glacier where access patterns allow. Cold data stops costing hot-data prices.
Karpenter configured for dynamic scaling. You stop paying for headroom you never use.
Vantage or equivalent deployed for real-time cost attribution, team-level tagging, and spend forecasting.
Weekly review cycles, anomaly alerts, and a single accountable owner across the full engagement.
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 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.
A dedicated senior pod runs every workstream concurrently, from audit to governance, so nothing waits on a handoff and nothing falls through.
Full audit of cloud spend with line-item attribution.
Right-size compute, memory, storage, network.
Reserved Instances + Savings Plans optimization.
Find and remove idle resources.
Hot/warm/cold tier migration + lifecycle policies.
Inter-region + inter-AZ + internet egress optimization.
Kubernetes bin-packing optimization.
CloudHealth, Vantage, Cloudability, Spot.io.
Tagging, cost centers, chargeback / showback.
Cost guardrails, anomaly detection, policy enforcement.
Multi-cloud + hybrid cost optimization.
Forecasting + budget alerts + commit management.
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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
Data & Messaging
Languages & Frameworks
DevOps & 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
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