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🔒 NDA Before Access · 👁️ Read-Only Access · 📊 Savings Estimated Per Finding · 📋 Fixed Scope & Price

Cloud Cost Audit for AWS, Azure & Google Cloud

Your cloud bill grows every month, and nobody can fully explain why. We audit your cloud environment, find idle and oversized resources, missed discounts, and architecture waste, and give you a prioritized plan with estimated savings for every change.

Your Cloud Bill Keeps Growing. Your Usage Doesn't Explain It.


Cloud platforms make it easy to launch resources and easy to forget them. Test servers stay on, storage piles up, instances are sized for peak traffic that never comes, and discounts go unused.


A cloud cost audit is the right step if:

  • Your AWS, Azure, or Google Cloud bill has grown faster than your users or revenue

  • Nobody on the team owns cloud costs, or can explain the biggest line items

  • Development and staging environments run 24/7

  • You've never bought Savings Plans, Reserved Instances, or committed use discounts

  • Data transfer, NAT gateway, or logging charges keep surprising you

  • Kubernetes clusters are running, but nobody knows the cost per service

  • Finance or investors are asking you to reduce infrastructure spend

  • Your startup cloud credits are about to run out


The audit shows where every dollar goes, what can be cut safely, and how much each change saves.


Get a Cloud Cost Audit →



Where Cloud Costs Usually Leak

Cost Leak

What It Looks Like

Impact on Your Bill

Idle resources

Servers, databases, and load balancers with little or no traffic

Paying full price for unused capacity

Oversized instances

Workloads using a small fraction of the CPU and memory provisioned

Paying for capacity sized for peaks that rarely happen

Non-production running 24/7

Dev, test, and staging environments never shut down

Paying for nights and weekends nobody works

Orphaned storage

Unattached disks, old snapshots, and forgotten backups

Storage charges that grow silently every month

Wrong storage tier

Rarely accessed data kept in the most expensive tier

Premium prices for archive-type data

No commitment discounts

Steady workloads billed at on-demand rates

Missing significant discounts on predictable usage

Unused commitments

Reservations or Savings Plans that don't match current usage

Paying for discounts you don't use

Data transfer and egress

Cross-region traffic, internet egress, NAT gateway processing

Network charges that are hard to trace

Excessive logging and monitoring

Verbose logs retained indefinitely, high-cardinality metrics

Observability costs rivaling compute costs

Kubernetes over-provisioning

Resource requests far above actual pod usage, idle nodes

Clusters running at low utilization

Legacy or outdated services

Older instance generations, previous-gen databases

Paying more for less performance

Untagged resources

No ownership or cost allocation by team, product, or customer

Waste nobody can be held accountable for



What Our Cloud Cost Audit Covers

Area

What We Assess

Spend Analysis

Cost by service, account, region, environment, team, and trend over time

Compute

VM and instance sizing, utilization, instance generations, autoscaling, scheduling

Commitment Discounts

Savings Plans, Reserved Instances, Azure reservations, GCP committed use discounts

Spot & Preemptible

Workloads suitable for spot or preemptible capacity

Storage

Disks, object storage tiers, lifecycle policies, snapshots, backups

Databases

Instance sizing, managed vs self-managed, read replicas, storage and IOPS settings

Networking

Data transfer, egress, NAT gateways, load balancers, CDN usage, cross-region traffic

Containers & Kubernetes

Node sizing, pod requests and limits, cluster autoscaling, idle namespaces

Serverless

Function memory settings, invocation patterns, API gateway costs

Observability

Log volume, retention, metrics cardinality, monitoring tool costs

AI & GPU Workloads

GPU utilization, idle training and inference instances, model hosting costs

Governance

Tagging, cost allocation, budgets, alerts, ownership, FinOps practices



Proven Levers to Reduce Cloud Costs

The audit tells you which of these levers apply to your environment, and in what order:

Remove Waste

Shut down idle resources and delete orphaned disks, snapshots, and unused IP addresses.


Rightsize Workloads

Match instance, database, and container sizes to actual utilization, with headroom for safety.


Schedule Non-Production

Automatically stop dev, test, and staging environments outside working hours.


Optimize Commitments

Cover steady workloads with the right mix of Savings Plans, reservations, or committed use discounts, sized to avoid over-commitment.


Use Spot Capacity

Move fault-tolerant workloads such as batch jobs, CI/CD runners, and some Kubernetes nodes to spot or preemptible instances.


Tier and Lifecycle Storage

Move infrequently accessed data to cheaper storage tiers automatically.


Reduce Network Costs

Cut cross-region and egress traffic, optimize NAT gateway usage, and use CDN and private endpoints where appropriate.


Modernize Instance Types

Move to newer instance generations and ARM-based processors where workloads support them.


Build Cost Governance

Implement tagging, budgets, anomaly alerts, and cost ownership so savings last.



Cloud Platforms and Tools We Audit


  • Cloud providers: Amazon Web Services (AWS) · Microsoft Azure · Google Cloud Platform (GCP) · DigitalOcean


  • Containers: Amazon EKS · Azure AKS · Google GKE · Self-managed Kubernetes · Amazon ECS · Docker


  • Databases: Amazon RDS & Aurora · Azure SQL · Cloud SQL · DynamoDB · Cosmos DB · MongoDB Atlas · Redis


  • Serverless: AWS Lambda · Azure Functions · Google Cloud Functions & Cloud Run


  • Cost tools: AWS Cost Explorer · AWS Compute Optimizer · Azure Cost Management · Azure Advisor · Google Cloud Billing · Kubecost · OpenCost


  • Infrastructure as Code: Terraform · CloudFormation · Pulumi · Bicep



How the Audit Works


1. Scoping Call

We learn about your cloud accounts, current monthly spend, main workloads, and any performance, availability, or compliance requirements you must keep.


2. NDA and Read-Only Access

We sign an NDA and get read-only billing and resource access through a dedicated role. We make no changes to your environment.


3. Spend Breakdown

We analyze billing data to map costs by service, account, environment, and workload, and identify the biggest cost drivers.


4. Resource and Architecture Review

Our engineers review utilization, configurations, commitments, storage, networking, and architecture to find waste and inefficiency.


5. Savings Modeling

Each recommendation includes an estimated monthly saving, implementation effort, and risk level.


6. Report and Walkthrough

You receive a prioritized cost reduction roadmap and a walkthrough session with your engineering and finance teams.




What You Receive

  • Executive summary: total cloud spend, the main cost drivers, and the total estimated savings opportunity

  • Cost breakdown: spend by service, account, environment, and workload

  • Waste inventory: idle, orphaned, and oversized resources, with their current monthly cost

  • Rightsizing recommendations: current vs recommended sizes, with utilization evidence

  • Commitment strategy: recommended Savings Plan, reservation, or committed use coverage

  • Savings estimate per recommendation: expected monthly saving, effort, and risk

  • Prioritized roadmap: quick wins this week, deeper changes this month, and architecture changes later

  • Governance plan: tagging, budgets, alerts, and ownership to keep costs under control

  • Walkthrough call: a findings session with your team



Example Savings Breakdown


Illustrative example of how findings and savings estimates appear in an audit report. Actual savings depend on your environment, workloads, and requirements.


Example Company: B2B SaaS on AWS


Example Monthly Cloud Spend: $25,000

#

Finding

Recommendation

Est. Monthly Saving

Effort

Risk

1

Dev and staging run 24/7

Schedule shutdown outside working hours

$2,600

1 day

Low

2

31 unattached EBS volumes and 14 months of snapshots

Delete orphaned volumes, add snapshot lifecycle

$1,100

1 day

Low

3

Production instances averaging low CPU utilization

Rightsize to smaller instance families

$2,400

3–5 days

Medium

4

Steady compute billed fully on-demand

Purchase Compute Savings Plan for baseline usage

$3,200

1 day

Low

5

Application logs retained indefinitely

Set retention policies, archive to cheaper storage

$900

1 day

Low

6

Cross-AZ traffic through NAT gateways

Add VPC endpoints, optimize traffic routing

$1,300

2–3 days

Medium

7

EKS pod requests far above actual usage

Tune requests, enable cluster autoscaler, add spot nodes

$1,800

1 week

Medium

8

Older-generation RDS instances

Upgrade to current-generation instances

$700

2 days

Medium


Total estimated savings


$14,000/month




Recommended sequence:

  • This week: Findings 1, 2, 4, 5 (quick wins with low risk)

  • This month: Findings 3, 6, 8 (needs testing and change windows)

  • Next: Finding 7 (needs Kubernetes tuning and monitoring)



Typical Cloud Cost Audit Scenarios


These examples show common situations, the cost drivers that typically surface, and how teams use the results.



Scenario 1: Startup Whose Cloud Credits Are Running Out


Platform: AWS · 

Audit: Full Cloud Cost Audit


Situation:A funded startup has run for two years on AWS promotional credits. The credits expire in three months, and the projected bill would significantly shorten its runway.


Common findings:

  • Infrastructure built for scale that current traffic doesn't need

  • Multiple forgotten experimental environments still running

  • Managed services chosen for convenience where cheaper options fit the workload

  • No commitment discounts, because credits covered everything


What happens next:

The team removes unused environments, rightsizes the production architecture, and plans commitment purchases timed to the end of the credits. The post-credit bill fits the budget, and runway is protected.



Scenario 2: SaaS Company With Margins Squeezed by Infrastructure


Platform: Azure + AKS · 

Audit: Full Cloud Cost Audit


Situation: A growing SaaS company sees infrastructure costs climbing as a percentage of revenue. The board asks for better gross margins before the next funding round.


Common findings:

  • Kubernetes nodes running at low utilization because pod requests are set far too high

  • Premium storage tiers used for backups and archived data

  • No Azure reservations or savings plans on steady database and compute workloads

  • Costs not allocated by customer, so unprofitable accounts can't be identified


What happens next:

The team tunes Kubernetes resource requests, moves data to appropriate tiers, buys reservations for baseline workloads, and adds cost allocation tags. Infrastructure cost per customer becomes visible, and gross margin improves ahead of the fundraise.



Scenario 3: Enterprise With Multi-Account Cloud Sprawl


Platform: AWS + Google Cloud · 

Audit: Enterprise Cloud Cost Assessment


Situation: An enterprise runs dozens of cloud accounts across several teams and two providers. Finance receives one large invoice with no clear ownership, and budget overruns happen every quarter.


Common findings:

  • Inconsistent or missing tags, so large parts of spend can't be attributed

  • Duplicate tools and services purchased separately by different teams

  • Reservations bought by one team while another team's workloads stay on-demand

  • Large data transfer charges between the two cloud providers


What happens next:

The organization introduces a tagging standard, centralized commitment management, and team-level budgets with alerts. Cross-cloud data flows are redesigned, and finance gets a monthly cost report broken down by team and product.




Cloud Cost Audit Pricing


Focused Cloud Cost Audit

Starting at $799 · 5–7 business days


For startups and small teams with one cloud account that want quick wins fast.

  • One cloud account and provider

  • Spend breakdown by service and environment

  • Idle, orphaned, and oversized resource review

  • Commitment discount opportunities

  • Top 10 recommendations with estimated savings

  • 30-minute walkthrough call


Get a Focused Cloud Cost Audit →



Full Cloud Cost Audit

Starting at $1,999 · 2 weeks


For growing companies with multiple environments, Kubernetes, or rising spend.

  • Up to 5 cloud accounts or subscriptions

  • Compute, storage, database, network, container, serverless, and observability review

  • Rightsizing with utilization evidence

  • Commitment strategy (Savings Plans, reservations, committed use discounts)

  • Savings model with effort and risk per recommendation

  • Tagging and governance plan

  • 60-minute walkthrough call

  • 14 days of follow-up Q&A


Get a Full Cloud Cost Audit → (Most Popular)



Enterprise Cloud Cost Assessment

Custom pricing · 3–6 weeks


For large or multi-cloud environments with many teams and accounts.

  • Unlimited accounts, subscriptions, and projects

  • Multi-cloud and hybrid environments

  • FinOps maturity assessment and operating model

  • Cost allocation and chargeback by team, product, or customer

  • Centralized commitment management strategy

  • Executive and technical reports, plus a stakeholder presentation


Request a Custom Assessment →


Final pricing depends on the number of accounts, cloud providers, and workloads. Confirmed after a free scoping call.



Cloud Cost Audit vs Related Services

Service

What It Answers

When to Choose It

Cloud Cost Audit

Where is our cloud infrastructure spend wasted?

Your AWS, Azure, or GCP bill is high or growing

LLM Cost Optimization Audit

Where is our AI API and token spend wasted?

Your OpenAI, Claude, or Gemini bill is the main concern

Cloud Audit

Is our cloud environment secure, resilient, and well-architected?

You need a broader architecture and security review

Infrastructure Audit

Is our infrastructure reliable, scalable, and well-configured?

Performance and reliability are the main concerns


Running AI features too? See our LLM Cost Optimization Audit →




After the Audit: We Implement the Savings


If your engineers are busy shipping product, our cloud and DevOps engineers can implement the recommendations safely.


CostControl is our cost reduction implementation service:

  • Idle resource cleanup and storage lifecycle policies

  • Rightsizing with performance validation

  • Non-production scheduling automation

  • Commitment planning and purchase support

  • Kubernetes resource tuning and spot node pools

  • Network and data transfer optimization

  • Tagging, budgets, anomaly alerts, and cost dashboards


Flexible engagement options: a fixed-price implementation project, or a savings-based model where part of the fee is tied to measured cost reduction.


Get Help Reducing Cloud Costs




Frequently Asked Questions


What is a cloud cost audit?

It's a structured review of your cloud spending and resources on AWS, Azure, or Google Cloud. It identifies waste such as idle and oversized resources, missed discounts, and inefficient architecture, and recommends changes with estimated savings for each.


How much can a cloud cost audit save?

Savings depend on how your environment is set up and how much waste has accumulated. Environments with no commitment discounts, always-on non-production systems, or oversized instances usually offer the largest opportunities. Every recommendation in our report includes an estimated monthly saving.


How much does a cloud cost audit cost?

A Focused Cloud Cost Audit starts at $799, and a Full Cloud Cost Audit starts at $1,999. Enterprise assessments are priced by scope. The final price is fixed after a free scoping call.


How long does a cloud cost audit take?

A Focused Cloud Cost Audit takes 5–7 business days. A Full Cloud Cost Audit takes about 2 weeks.


What access do you need?

Read-only access to billing data and resource configurations, usually through a dedicated read-only IAM role or equivalent. We don't need permissions to change your environment.


Will cost reductions affect performance or availability?

Not when changes are planned properly. Every recommendation includes a risk level, and changes such as rightsizing are based on utilization data and validated before rollout.


Do you work with AWS, Azure, and Google Cloud?

Yes. We audit AWS, Microsoft Azure, Google Cloud, and DigitalOcean environments, including multi-cloud setups and Kubernetes clusters on EKS, AKS, and GKE.


Can't we just use AWS Cost Explorer or Azure Advisor?

Native tools are a good starting point, but they mostly flag individual resources. An audit adds engineering context: architecture changes, network costs, Kubernetes efficiency, commitment strategy, and which recommendations are actually safe to apply.


Is it worth it for a small cloud bill?

If your monthly cloud spend is under about $2,000, a Focused Audit is usually enough. The Full Audit delivers the most value for teams spending more than $5,000 per month, or growing quickly.


Can you implement the recommendations?

Yes. Through CostControl, our cloud engineers implement the changes, with a fixed-price or savings-based engagement.



Stop Paying for Cloud Resources You Don't Use


Find out where your cloud budget goes and how much you can save, with a clear, prioritized plan your team can act on.


Get a Cloud Cost Audit →







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