azure::1.0.0::vmss, with backend choices shown together. Read how Tensor9 estimates service-adapter costs for price scope and capacity qualification, or return to additional services.
Autoscaling fleet allocation (VM Scale Sets) → EC2 Auto Scaling
Origin API:azure::1.0.0::vmss. Target backend: aws::1.0.0::autoscaling::group.
Designed mapping. This cost model describes an intended adapter. Its estimated price does not establish a delivered or selectable backend.
Autoscaling fleet allocation (VM Scale Sets) · Allocated fleet instance-hours per month
Estimated monthly service charges by Allocated fleet instance-hours per month. Adapter hosting and Tensor9 fees are excluded. Source: eastus; target: us-east-1; currency: USD.
Curve assumptions
- Only this native meter varies; all other source usage and translation assumptions retain the displayed defaults. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
- Planning estimate · editable authored rates and sizing assumptions dated 2026-10-22; not verified provider prices. eastus → us-east-1, USD/month.
- Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
- Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
- Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
- Rates are cited provider list prices, editable for discounts, commitments or another region. Workload translation and capacity coefficients remain editable planning assumptions, not benchmark measurements or a commercial quote.
- Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
- Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
- Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
- A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
- This exact directed mapping has a design profile. Cost modeling does not establish an implemented or deployable adapter.
- Origin unit prices are cited provider list prices; capacity coefficients and translation assumptions are editable authored planning guesses, not measured capacity or a provider quote.
- Management requests do not reveal resource allocation or workload traffic. Provisioned resources and traffic are independent inputs.
- This native fleet resource comparison is separate from the Auto Scaling runtime discovery adapter and its supported operations.
- Instance-hours are priced exactly once as CPU and RAM allocation; management requests add no assumed fleet instances.
- Fleet orchestration is not billed separately: member instance CPU and memory hours bill at the instance rates. Management API counts never create VM-hours. AWS: m6i general purpose decomposed against r6i (m7i.large lists 0.1008/hour, 5% higher); gp3 disk; internet egress.
- Azure Retail Prices API: https://prices.azure.com/api/retail/prices
- Virtual Machine Scale Sets pricing: https://azure.microsoft.com/en-us/pricing/details/virtual-machine-scale-sets/
- Amazon EC2 price list (AWS Price List API): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
- AWS Data Transfer price list (AWS Price List API): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSDataTransfer/current/us-east-1/index.json
- Instance disks, traffic, licenses, load balancers, spare replacement instances and metric collection.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-376d90fcbbdb21827f801f0b6108f55e2c6f5bae / 2026-10-22.planning.2. Curve: workload-1.
Sources: Azure Retail Prices API, Virtual Machine Scale Sets pricing, Amazon EC2 price list (AWS Price List API), AWS Data Transfer price list (AWS Price List API).
Autoscaling fleet allocation (VM Scale Sets) → Managed Instance Group
Origin API:azure::1.0.0::vmss. Target backend: google::1.0.0::compute::instance-group-manager.
Designed mapping. This cost model describes an intended adapter. Its estimated price does not establish a delivered or selectable backend.
Autoscaling fleet allocation (VM Scale Sets) · Allocated fleet instance-hours per month
Estimated monthly service charges by Allocated fleet instance-hours per month. Adapter hosting and Tensor9 fees are excluded. Source: eastus; target: us-central1; currency: USD.
Curve assumptions
- Only this native meter varies; all other source usage and translation assumptions retain the displayed defaults. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
- Planning estimate · editable authored rates and sizing assumptions dated 2026-10-22; not verified provider prices. eastus → us-central1, USD/month.
- Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
- Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
- Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
- Rates are cited provider list prices, editable for discounts, commitments or another region. Workload translation and capacity coefficients remain editable planning assumptions, not benchmark measurements or a commercial quote.
- Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
- Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
- Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
- A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
- This exact directed mapping has a design profile. Cost modeling does not establish an implemented or deployable adapter.
- Origin unit prices are cited provider list prices; capacity coefficients and translation assumptions are editable authored planning guesses, not measured capacity or a provider quote.
- Management requests do not reveal resource allocation or workload traffic. Provisioned resources and traffic are independent inputs.
- This native fleet resource comparison is separate from the Auto Scaling runtime discovery adapter and its supported operations.
- Instance-hours are priced exactly once as CPU and RAM allocation; management requests add no assumed fleet instances.
- Fleet orchestration is not billed separately: member instance CPU and memory hours bill at the instance rates. Management API counts never create VM-hours. Google: N2 predefined vCPU and memory (E2 lists 0.02181159 and 0.00292353); pd-balanced disk; Premium Tier egress.
- Azure Retail Prices API: https://prices.azure.com/api/retail/prices
- Virtual Machine Scale Sets pricing: https://azure.microsoft.com/en-us/pricing/details/virtual-machine-scale-sets/
- Compute Engine general-purpose machine pricing: https://cloud.google.com/products/compute/pricing/general-purpose
- Disk and image pricing: https://cloud.google.com/compute/disks-image-pricing
- Network pricing: https://cloud.google.com/vpc/network-pricing
- Instance disks, traffic, licenses, load balancers, spare replacement instances and metric collection.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-5e6c83d6f4ca1bc0e7997473315ff6746d53cf9a / 2026-10-22.planning.2. Curve: workload-1.
Sources: Azure Retail Prices API, Virtual Machine Scale Sets pricing, Compute Engine general-purpose machine pricing, Disk and image pricing, Network pricing.
See the service catalog for operation coverage, supported directions and backend limitations.