Cloud Cost Optimization
Services

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.

Engineers & Architects
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Production Systems Shipped
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Production Uptime
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Critical Incidents 2024
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Trusted & Certified

What is Cloud Cost Optimization?

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

Cloud Cost Optimization That Pays for Itself

Benchmarks observed across comparable engagements.

Key Metrics

12 wks

12/day

18 min

99.95%

32%

74

Replaces vendor stack

Single accountable pod vs 4-6 separate vendors

$240K-$640K / year

Reduces time-to-launch

Senior pod, fewer handoffs, less rework

30-60%

Lowers ongoing operating cost

Right-sized architecture and tooling

20-40%

Avoids compliance penalties

Pre-flight legal & security review on every release

$100K-$10M+

Case Study

How a Series C SaaS Cut AWS Spend by Millions Through Cloud Assessment and Cost Optimization Services

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.

$396K ↗ From $640K (-38%)
Monthly cloud spend
$2.93M ↗ Recurring
Annual savings
92% ↗ From 0%
RI / SP coverage
$140K/month ↗ One-time
Idle resources eliminated
-42% ↗ Karpenter + right-sizing
K8s cost / pod
98% ↗ Vantage + custom
Cost forecasting accuracy
"$2.9M annual savings without a single performance regression. The Karpenter migration alone saved more than the whole engagement cost."
VP Finance
Series C SaaS

Comparison

How Ment Tech Compares for Cloud Assessment and Cost Optimization Services

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.

Features
Ment Tech
Generalist Brand Agency
Solo Designer
Senior operator delivery
Recommended
Junior-heavy
Single accountable lead
Yes
Compliance & security day one
Yes
Add-on
DIY
Multi-region delivery pods
Yes
Single region
Measurement & attribution
Yes
Vanity metrics
Manual
Production-grade runbooks
Yes
Ad-hoc
Quarterly executive review
Yes
Annual
Total program cost
$240-1.2M
$180-900K
$60K+ time

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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Our Solution

Cost-Conscious Services Built Around What Actually Moves Your AWS Bill

Every service Ment Tech delivers is scoped to a measurable outcome, owned by a senior operator, and reviewed weekly against real cost data.

Targeted Host Outreach

Full Infrastructure Audit

Every EC2, RDS, EKS, and S3 resource mapped, tagged, and assessed before any changes are made.

Speaker Preparation

Right-Sizing and Idle Elimination

Oversized instances brought down to spec. Idle resources switched off. No guesswork, no blanket cuts.

AMA Campaign Management

Reserved Instance and Savings Plans Strategy

3-year and 1-year commitment coverage modeled against your actual usage patterns to lock in the lowest effective rate.

Podcast Placement Strategy

Storage Tiering

S3 buckets moved to IA and Glacier where access patterns allow. Cold data stops costing hot-data prices.

Content Repurposing

EKS Node Optimization

Karpenter configured for dynamic scaling. You stop paying for headroom you never use.

Performance Reporting

FinOps Tooling Setup

Vantage or equivalent deployed for real-time cost attribution, team-level tagging, and spend forecasting.

Performance Reporting

Ongoing Cost Governance

Weekly review cycles, anomaly alerts, and a single accountable owner across the full engagement.

Industry Challenges

Why Most Cloud Cost Optimization Engagements Deliver Less Than They Promise

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.

Poor Show Selection

No baseline before action

Teams jump into right-sizing and commitment purchases without a full audit. Savings get claimed on paper. The actual bill barely moves.

Fragmented Execution

Commitment coverage bought at the wrong time

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.

No Performance Tracking

Cost attribution never gets set up

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.

Weak Preparation

Tooling deployed, never adopted

FinOps platforms like Vantage or CloudHealth get configured and then ignored. No one owns the weekly review. Anomalies go undetected for billing cycles.

Limited Market Reach

Storage and network costs treated as fixed

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.

Lack of Compliance Awareness

No governance after the engagement closes

One-time audits produce a report. The report sits in Notion. Three quarters later the bill is back where it started.

Platform Capabilities

What Ment Tech Brings to a Cloud Cost Optimization Engagement

A dedicated senior pod runs every workstream concurrently, from audit to governance, so nothing waits on a handoff and nothing falls through.

Eligibility Design

Cloud Spend Audit

Full audit of cloud spend with line-item attribution.

CloudHealth + Vantage + custom
Sybil-Resistance Modeling

Workload Right-Sizing

Right-size compute, memory, storage, network.

Datadog + CloudHealth + custom
Multi-Quest Distribution

RI / SP Optimization

Reserved Instances + Savings Plans optimization.

AWS Cost Explorer + Vantage
KYC-Where-Required-Flows

Idle Resource Elimination

Find and remove idle resources.

CloudHealth + custom scripts
Onchain-Attribution

Storage Tiering

Hot/warm/cold tier migration + lifecycle policies.

S3 IA/Glacier + GCS Coldline
Retention-Motion

Egress Reduction

Inter-region + inter-AZ + internet egress optimization.

VPC endpoints + Direct Connect
Multilingual-Quests

Container Density

Kubernetes bin-packing optimization.

Karpenter + Goldilocks + KEDA
Community Coordination

FinOps Tooling

CloudHealth, Vantage, Cloudability, Spot.io.

CloudHealth + Vantage
Liquidity Coordination

Cost Allocation

Tagging, cost centers, chargeback / showback.

Tagging policy + dashboards
Anti-Farming Controls

Continuous Governance

Cost guardrails, anomaly detection, policy enforcement.

OPA + Vantage + custom
Public Eligibility Memo

Multi-Cloud Cost

Multi-cloud + hybrid cost optimization.

Cross-cloud comparison
Promotion Compliance

Forecast & Budget

Forecasting + budget alerts + commit management.

CloudHealth + Vantage

Live Platform Walkthrough

See Our AI Solutions in Action

Get a personalized live demo tailored to your exact use case - built by the same engineers who will work on your project.

Technical Architecture

How Ment Tech Structures a Cloud Cost Optimization Engagement

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.

System Architecture
L1
Edge & Presentation Edge, frontend and BFF.
Cloudflare / CloudFront
Next.js / Remix
React Native / Flutter
BFF / GraphQL gateway
L2
Services & Domain Domain services and APIs.
TypeScript / Go / Python services
gRPC / GraphQL / REST
Event-driven architecture
Domain-driven design
L3
Data & Messaging Stores, streams and analytics.
PostgreSQL / MongoDB / DynamoDB
Kafka / RabbitMQ / SQS
Snowflake / BigQuery
Redis / Memcached
04
Platform & Ops Cloud, CI/CD, observability.
EKS / GKE / AKS
Terraform / Pulumi
GitHub Actions / ArgoCD
Datadog / Grafana / Sentry
AWS
GCP
Azure
Cloudflare
Vercel
Snowflake
BigQuery
Databricks
Redshift
Datadog
Grafana
New Relic
Sentry
PagerDuty
GitHub Actions
GitLab CI
ArgoCD
CircleCI
Auth0
Okta
WorkOS
AWS IAM Identity Center
Technology Stack

Production Stack

Tooling we configure, operate and report from.

Cloud & Platforms

AWS AWS
GCP GCP
Azure Azure
Cloudflare Cloudflare
Vercel Vercel
Kubernetes EKS/GKE/AKS Kubernetes EKS/GKE/AKS
Docker Docker
Terraform Terraform

Data & Messaging

PostgreSQL PostgreSQL
MySQL MySQL
MongoDB MongoDB
Redis Redis
Snowflake Snowflake
BigQuery BigQuery
Kafka Kafka
Elasticsearch Elasticsearch
DynamoDB DynamoDB
ClickHouse ClickHouse

Languages & Frameworks

TypeScript / Node.jsTypeScript / Node.js
Python / FastAPIPython / FastAPI
GoGo
RustRust
Java / Spring BootJava / Spring Boot
KotlinKotlin
SwiftSwift
Next.jsNext.js
React NativeReact Native
FlutterFlutter

DevOps & Observability

GitHub Actions
GitLab CI
ArgoCD
Datadog
Grafana
Prometheus
Sentry
Snyk
SonarQube
PagerDuty

38+ technologies integrated

Our Process

Six Phases With Verified Deliverables at Every Stage

Six structured phases, clear deliverables, and a review gate at every stage so nothing moves forward until the previous layer is verified.

Step 1
check-circle

Discovery and Baseline Audit

Every resource across EC2, RDS, EKS, S3, and network layers is inventoried, tagged, and mapped to a team or product.

Step 2
check-circle

Waste Identification

Idle instances, orphaned volumes, and untagged spend are flagged with estimated savings attached to each finding.

Step 3
check-circle

Commitment Strategy

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.

Step 4
check-circle

Execution

Right-sizing, idle elimination, storage tiering, and EKS node optimization executed concurrently by a senior pod.

Step 5
check-circle

Tooling and Attribution Setup

Vantage or equivalent deployed with team-level tagging, anomaly alerts, and a cost attribution model finance and engineering can both use.

Step 6
check-circle

Governance and Handoff

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.

Compliance & Regulatory

Built to Meet the Standards Your Business Already Answers To

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

SOC 2
HIPAA
CCPA

European Union

GDPR
NIS2
DORA

United Kingdom

UK GDPR
FCA Outsourcing

Singapore

MAS TRM
PDPA

UAE

DIFC DP Law
ADGM

Switzerland

FADP

Hong Kong

PCPD
HKMA

Australia

APRA CPS 234
Privacy Act

Canada

PIPEDA

Japan

APPI
SOC 2 Type II Aligned
Security, availability, confidentiality controls
ISO 27001 Ready
Information security management system
AWS Advanced Partner
Cloud infrastructure and deployment
GCP Service Partner
Google Cloud architecture and delivery
Microsoft Solutions Partner
Azure implementation and support
CREST-Aligned Pentest
Security testing and validation

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 & Audit

Production Security & Compliance

Security is not a final check. It runs alongside every phase of the engagement, from the initial audit through to governance handoff.

Trail of Bits

Independent security audit partner

NCC Group

Penetration testing partner

Bishop Fox

Red-team & continuous offensive testing

OpenZeppelin

Smart-contract & infra audits

Cure53

Web & cloud security audits

Bugcrowd

Crowd-sourced vulnerability program

SOC 2 Aligned

ISO 27001 Ready

GDPR Compliant

CCPA Compliant

OWASP ASVS Level 2+ coverage on every shipped service
SAST + SCA + IaC scanning in every pipeline
Container image scanning with signed artifacts Cosign
Secrets management via Vault / KMS - no secrets in code
Encryption at rest AES-256 and in transit TLS 1.3+
Zero-trust network segmentation with service-mesh mTLS
Audit logging shipped to immutable storage WORM
Quarterly threat-model reviews and tabletop exercises

Enterprise-Grade Security

Bank-level encryption and compliance standards.

256-bit AES Encryption

99.99% Uptime SLA

24/7 Monitoring

Industry Applications

Cloud Cost Optimization Use Cases

Targeted Host Outreach

Series B and C SaaS

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.

Speaker Preparation

Enterprise Multi-Account Cloud

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.

AMA Campaign Management

Kubernetes-Heavy Workloads

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.

Podcast Placement Strategy

Data-Heavy Workloads

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.

Content Repurposing

Storage-Heavy Workloads

Workloads with large volumes of infrequently accessed data sitting in standard S3 tiers. Average 60 percent storage cost reduction after IA and Glacier migration.

Performance Reporting

High-Egress Workloads

Architectures generating significant data transfer costs with no VPC endpoint strategy. Average 48 percent egress reduction after routing and endpoint optimization.

Custom Development Pricing

Get Your Tailored Project Quote

Share your requirements and receive a detailed technical proposal with transparent pricing within 48 business hours.

Engagement Models

Cloud Cost Optimization Engagement Models

Three engagement shapes scoped to where you are.

Cloud Cost Optimization Sprint

Time-boxed senior engagement with a single accountable lead.

Ideal for

Teams shipping the first version

Cloud Cost Optimization Retainer

Monthly retainer with reserved senior capacity.

Ideal for

Teams with continuous roadmaps

Cloud Cost Optimization Advisory

Senior advisory and architecture pod without execution scope.

Ideal for

Teams with internal engineering or growth

What's Included in Every Engagement

FAQ

FAQs

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.

Still have questions?

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