See every cloud dollar.
Stop the ones that don't need to be spent.

CloudLens unifies AWS and Azure cost data into one dashboard — so you can spot waste, forecast spend, right-size resources, and prove savings, without switching between two billing consoles.

CloudLens FinOps Platform 3D Illustration

The Problem

You can't manage what you can't see.

AWS and Azure speak completely different billing languages. Unattached EBS volumes, idle virtual machines, and over-provisioned Kubernetes clusters hide across dozens of accounts and subscriptions until the invoice arrives. CloudLens unifies multi-cloud billing into one normalized model with continuous waste detection.

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Fragmented cost consoles across AWS and Azure with zero unified spend normalization

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Orphaned volumes, idle compute, and unattached IPs quietly bleeding budget

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Commitment guesswork across AWS Savings Plans, RIs, and Azure Reservations

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Kubernetes cluster spend opaque at the pod, namespace, and workload level

The Promise

“See every cloud dollar. Stop the ones that don't need to be spent.”
STAGE 01

CLOUDLENS · FINOPS

Every Dollar, Traced to an Owner.

CloudLens ingests AWS and Azure billing data and normalizes it into one model, giving you unified cost visibility across both clouds by account, subscription, tag, and team.

Cloudlens
CloudLens — Unified Cost Visibility
Cost Visibility
Waste & Savings
Reservations & What-If
K8s & Scheduling

AWS CUR + Azure Cost Management · 12 accounts & 8 subscriptions normalized

Current Spend (MTD)
$142,680
↓ +2.4% MoM
Monthly Average
$138,400
→ last 90d baseline
Savings Opportunity
$28,450
↑ ranked fixes

Multi-Cloud Allocation (AWS + Azure)

Amazon Web Services (AWS)$88,240/mo
12 accounts · EC2, RDS, EKS, S3, Redshift$17,600/mo waste
62%
Microsoft Azure$54,440/mo
8 subscriptions · VMs, AKS, Storage, SQL DB$10,850/mo waste
38%
Read-only billing sync active
Updated 14s ago
STAGE 02

CLOUDLENS · WASTE DETECTION

Find the Spend Nobody's Using.

Continuously scans for orphaned volumes, idle compute, unattached IPs, and over-provisioned services across AWS and Azure, ranking fixes by dollar impact.

Cloudlens
CloudLens — Waste & Savings Detector
Cost Visibility
Waste & Savings
Reservations & What-If
K8s & Scheduling

Ranked by dollar impact · $6,778/mo top waste findings identified

Top Waste Found
$6,778
▲ 5 quick wins
Orphaned Volumes
14 disks
↓ 1.2 TB unused
Idle Instances
5 nodes
↓ <3% CPU avg

Active Inefficiencies Ranked by Impact

Unattached EBS gp3 Volumes (14x)Orphaned Volume
aws-prod-data · vol-08f12a... (1.2 TB)
$1,840/mo
Idle Azure D16s v5 VM InstanceIdle Compute
sub-analytics-prod · vm-ml-training
$2,640/mo
Over-provisioned Azure Premium SSDOver-provisioned
sub-search-westeurope · disk-p30
$1,120/mo
Automated remediation safe-mode active
3 high-impact actions ready
STAGE 03

CLOUDLENS · RESERVATIONS & WHAT-IF

Commit With Data, Not Guesswork.

Models actual usage across AWS Reserved Instances, Savings Plans, and Azure Reservations before you commit, with financial What-If rightsizing simulations.

Cloudlens
CloudLens — RI & Savings Plans + What-If
Cost Visibility
Waste & Savings
Reservations & What-If
K8s & Scheduling

Actual usage modeling across AWS RIs, Savings Plans, and Azure Reservations

Blended Coverage
73.8%
→ target: 85%
Net Savings Realized
$15,490
↑ /month
What-If Opportunity
+$6,240
↑ with proposed RIs
AWS Compute Savings PlansAll Regions · 1yr All Upfront
$7,420/mo saved
Coverage: 74%·Utilization: 99.2%
💡 What-If:Increase commitment by $1.80/hr to hit 88% target coverage
Azure Reserved VM InstancesEast US · Standard D-series 3yr
$5,180/mo saved
Coverage: 68%·Utilization: 96.5%
💡 What-If:Purchase 6x D8s v5 1yr reservation for predictable web tier
AWS RDS Reserved Instancesus-east-1 · db.r6g.xlarge 1yr
$2,890/mo saved
Coverage: 82%·Utilization: 100%
💡 What-If:Fully utilized · Renew in 42 days
What-If simulation engine synchronized
90-day telemetry baseline
STAGE 04

CLOUDLENS · K8S & SCHEDULING

Kubernetes Cost Down to the Pod.

Breaks down EKS and AKS costs by cluster, namespace, and container, paired with automated off-hours resource start/stop schedules for non-production environments.

Cloudlens
CloudLens — Kubernetes Cost & Scheduling
Cost Visibility
Waste & Savings
Reservations & What-If
K8s & Scheduling

EKS & AKS pod chargeback + automated off-hours resource sleep schedules

K8s Pod Spend
$13,040
↑ tied to AWS/Azure bill
Idle Request Waste
$3,480
▲ over-requested CPU
Scheduled Savings
$6,760
↑ off-hours sleep

Kubernetes Namespace Allocation & Off-Hours Schedules

checkout-prodaws-eks-us-east-1
$4,210/mo14% idle
search-indexingazure-aks-westeurope
$6,850/mo42% idle
Dev & Staging EC2 + AKS Schedules
Mon-Fri 08:00–19:00 UTC · Weekend Sleep Mode
$6,760/mo saved
EKS & AKS metric servers connected
Next schedule trigger in 2h 15m

Core Capabilities

Built for AWS. Built for Azure. Built for both.

Unified AWS + Azure cost visibility

Waste detection & orphaned resource cleanup

AI-ranked optimization recommendations

RI & Savings Plans coverage modeling

Kubernetes pod-level cost allocation

Resource scheduling & off-hours shutdown

CloudLensWorkflow Architecture

CloudLens workflow.

↺ CLOSED-LOOP: RE-INVESTMENT & CONTINUOUS MONITORINGAWS CLOUDEC2 · RDS · S3 · EKSBilling & CURAZURE CLOUDEA/MCA · VMs · AKSCost ManagementKUBERNETESPods · NamespacesLive Telemetry02 · INGESTCOLLECTPIPELINECost & UsageK8s Telemetry03 · FABRICNORMALIZEENGINEUnified SchemaTag AttributionWASTE QUEUEOrphaned VolumesIdle Compute DisksRIGHTSIZINGWorkload TuningK8s Limits vs RealANOMALIESSpike DetectionCost Deviation ML05 · FINOPSOPPORTUNITYENGINERanked ROI ModelWhat-If Simulator06 · ACTIONACT &MONITOR ↺Automated Off-HoursProved Savings Proof ↺

Optimize Opportunities

05 · OPPORTUNITY ENGINE

Ranks actionable savings with What-If financial simulations, commitment models, and workload sizing.

Ranked Dollar Impact
Savings Plan Simulations
Off-Hours Scheduling Rules
Pod Right-Sizing Targets
CloudLens Product Overview
Multi-Cloud FinOps (AWS + Azure)Agentless Read-Only DeploymentAutomated Safe-Mode Remediation
Core MissionThe CloudLens Purpose

Turn cloud consumption into clarity.

I show you where your cloud spend goes, uncover what’s being wasted, and help you turn every resource into a smarter decision.
CloudLens/ Multi-Cloud FinOps & Cost Intelligence