Finomics Migration Planner

    Make Cloud Migration Decisions with Financial Clarity

    Compare services and projected costs across AWS, Microsoft Azure, Google Cloud, OCI, and Alibaba Cloud—or plan and model private-to-public cloud migrations from VMware, Nutanix, OpenStack, and Hyper-V.

    Migration Topology NetworkLive Modeling
    Finomics
    MIGRATION
    PLANNER    TCO ENGINE
    AWS
    Google Cloud
    Microsoft Azure
    Oracle Cloud
    VMware vSphere
    Nutanix AHV
    OpenStack
    Alibaba Cloud
    Source: $708.7K (AWS)
    Target: $483.4K (GCP)
    Multi-Cloud & Private-to-Public Right-Sizing

    PUBLIC CLOUD → PUBLIC CLOUD

    Compare services, pricing, discounts, and projected savings.

    AWS
    Azure
    GCP
    ORACLE
    Alibaba Cloud

    PRIVATE CLOUD → PUBLIC CLOUD

    Model private workloads in a supported public cloud.

    VMware vSpherevSphere
    Nutanix AHVAHV
    OpenStackOpenStack
    MicrosoftHyper-V
    Deep Resource Visibility

    See the Comparison All the Way Down to the Resource

    Resource-level mapping

    Compute instances, managed databases, and storage pools mapped to equivalent target services.

    Accurate cost modeling

    Uses provider pricing, commitment tiers, and custom discounts for realistic monthly projections.

    Actionable exceptions

    Quickly identify workloads, IOPS thresholds, and tiers that need review before commitment.

    SOURCE CLOUD:
    EC2 Instances → Compute EngineLive Modeling
    Showing top 5 of 48 mapped VM instances
    SOURCE RESOURCESPECS / CONFIGTARGET CLOUDTARGET SPECSBASELINEPROJECTEDACTION
    m5.xlarge
    		4 vCPU, 16 GBn2-standard-44 vCPU, 16 GB$142.85$98.41
    m5.xlarge → n2-standard-4REAL-TIME CANDLESTICK STREAM

    MULTI-WAVE CYCLICAL BREAKDOWN • Moving average photon overlay

    OPEN:$142.85
    HIGH:$159.99
    LOW:$92.51
    CLOSE:$98.41
    -$44.44 (31.1%)
    BASELINE COST THRESHOLD ($142.85/mo)
    Monthly Baseline
    $142.85/mo
    Source Environment
    Projected Target
    $98.41/mo
    Optimized Workload
    Annual Savings
    $533.28/yr
    31.1% ↓ Net Gain
    Right-Sizing Rationale
    1:1 Core Match + 24% N2 Sustained Use Discount Tier
    c5.2xlarge
    		8 vCPU, 16 GBc3-standard-88 vCPU, 16 GB$252.96$164.32
    r5.large
    		2 vCPU, 16 GBn2-highmem-22 vCPU, 16 GB$93.74$60.21
    m6i.xlarge
    		4 vCPU, 16 GBn2-standard-44 vCPU, 16 GB$114.58$74.22
    t3.micro
    		2 vCPU, 1 GBe2-micro2 vCPU, 1 GB$7.74$5.38
    Baseline: $384.2K/mo
    Projected: $258.9K/mo
    Total Savings: 32.6% ($125.3K/mo)

    Allocation & Ownership Matrix

    Multi-tenant cost attribution & team tagging

    LIVE ALLOCATION
    SAMPLE WORKLOAD SCENARIOS:Interactive
    Cost Center
    CC-104 (Core Infrastructure)
    Owning Team
    Cloud Platform SRE
    Strategic Project
    Project Titan (K8s)
    Application Tier
    Checkout & API Gateway
    Workloads48 Mapped
    Baseline$184.2K/mo
    Target$124.5K/mo
    Net Gain32.4% (-$59.7K/mo)
    RESOURCE DOMAIN DISTRIBUTION100% Attributed
    Core Compute(46%)
    Managed DBs(32%)
    Object Storage(22%)

    Why allocate by workload and ownership?

    Align cloud migration investments directly to business units for accurate chargeback, showback, and unit-economics ROI.

    Plan With Context

    Plan by Workload—and by Who Owns It

    Allocation filters give you complete financial visibility into migration cost, timeline, and projected savings categorized by the exact business teams and systems that own them.

    Multi-dimensional slicing

    Segment your cloud migration models by cost center, application tier, product squad, or business unit with zero manual spreadsheet work.

    Stakeholder unit economics

    Surface true migration ROI and operational run-rate costs for every team lead, engineering manager, and executive sponsor.

    Executive & FinOps review export

    Generate presentation-ready cost comparisons and business case dossiers tailored specifically for leadership reviews.

    A Clear Path Forward
    Step 01

    Select

    Choose the source environment and target scenario.

    Step 02

    Map

    Match resources to equivalent services.

    Step 03

    Compare

    Model costs, savings, and exceptions.

    Step 04

    Decide

    Build a data-backed migration plan.

    Plan with Confidence

    Get a personalized migration assessment and data-driven recommendations customized to your environment.