🔒 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.
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
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.