Cloud Instance Recommender

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Custom Rules

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Sample CSV Template

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View and download the standard CSV format for optimal auto-mapping:

VM Name,App Name,CPU Count,Memory (GB),CPU Utilization,Memory Utilization,AWS Region,Azure Region,GCP Region,ENV,OS,Workload,Compliance,AWS Min Gen,Azure Min Gen,GCP Min Gen,Exclude,Include Only,Current Instance Type
web-server-01,Storefront,4,16,45,60,us-east-1,East US,us-central1-a,Production,Linux,Web Server,,,,,,,m5.xlarge
db-server-02,Billing,8,32,70,80,us-west-2,West US 2,us-west1-b,Production,Windows,Database,PCI,,,,"Burstable,GPU",,m5.2xlarge
app-server-03,Billing,2,8,35,45,eu-west-1,North Europe,europe-west1-c,Dev,Linux,General,,,,,,,t3.large

📊 Download Excel Template

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Upload CSV File

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Click to upload CSV or Excel (.xlsx) file

or drag and drop your file here

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Cloud Provider Selection

Select Cloud Providers:

🔶 AWS

🔷 Azure

🔴 GCP

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Recommendation Type

Like-to-Like Recommendation
Recommends instances with equal or higher CPU and memory (cheapest option)

Optimized Recommendation
Recommends instances based on actual utilization data

Both
Generates both like-to-like and optimized recommendations

🧠 Optimization Settings

Size against: Averages hide bursts: a VM averaging 20% with a p95 of 85% is not a downsize candidate. p90, p95, p99 and Peak use the matching CSV columns; a row without them falls back to what it has, and the basis used is reported per row in the Sized On column.

Optimization Mode:

CPU-Based

Memory-Based

💻 CPU Utilization Ranges:

CPU Downsizing (N-1): % to %

CPU Keep Same (N): % to %

CPU Upsizing (N+1): % to 100%

🧠 Memory Utilization Ranges:

Memory Downsizing (N-1): % to %

Memory Keep Same (N): % to %

Memory Upsizing (N+1): % to 100%

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Sizing Source

🔀 Cloud-to-cloud sizing Size a row from its Current Instance Type when it has no CPU Count / Memory (GB). Explicit CPU and memory always take precedence.

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Advanced Instance Filtering (Optional)

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✨ Current Generation Only Include only latest generation instances (recommended for better performance)

🗄️ Physical-Core Licensing (alternate floor) SQL Server's 4-core licence floor counts physical cores instead of vCPUs on AWS/Azure rows — off by default, which counts vCPUs. No effect on GCP rows; no comparable field exists for that provider

🔧 Restrict to specific processor types Choose preferred processor architectures

📋 Restrict to specific instance categories Filter by workload category across all providers

❌ Exclude specific instance types Exclude certain categories of instances

🧠 Rule Engine Defaults

Set page-level defaults applied to all rows across all selected providers. Per-row CSV columns override these. Conflicts with filters above are flagged in red.

ENV

OS

Workload

Compliance

Current-Generation Hardware AWS Nitro Enclaves Confidential Computing Azure Trusted Launch

Min Instance Gen AWS Azure GCP

Rule descriptions ▸

Rule	Effect (all providers)
ENV=Production	Excludes burstable (t-family / B-series / e2-shared), enforces current-gen, min 4 vCPU for web/DB. AWS also requires Nitro under Compliance.
OS=Windows	De-prioritises ARM/Graviton families across all providers; prefers Intel or AMD
Workload=Database	AWS r-family first · Azure E/M-series first · GCP n2-highmem/m1 first
Compliance=HIPAA/PCI	Excludes burstable; enforces current-gen. AWS: requires Nitro-capable.
Min Gen=m6/v4/N4	Excludes older generations: m5/r5 (AWS), Dsv3/Esv3 (Azure), N1 (GCP). Useful as m5 approaches EOL.
Workload=SQL Server	Enforces a 4-vCPU licence floor when it can — SQL Server is licensed per core (minimum four), so a smaller box saves no licence cost. If no eligible candidate is that large, the fallback pick is kept and the rule is reported as not applied.
Workload=ML/AI (GPU)	Requires a GPU/accelerator instance; every other workload excludes accelerators, so a GPU box is not recommended by accident. If the pool has no accelerator to offer, the fallback pick is kept and the rule is reported as not applied.

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Generate Recommendations

✅ Recommendations generated successfully!

Results

🟠 AWS Pricing Calculator

Create estimate
Bulk import (top-right) → select template → upload CSV → Save
Or: search EC2 → Configure → set instance → Save

🔵 Azure Pricing Calculator

Find Virtual Machines → Add to estimate
Scroll down / click View
Configure region, OS & VM size → Save

🟢 GCP Pricing Calculator

Add to estimate
Select Compute Engine
Configure machine type & region → Save

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Usage Statistics

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🔧 Tool Uses

Total recommendations generated

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🖥️ VMs Processed

Total VM instances analyzed

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Cloud Instance Recommender - Multi-Cloud