aws::1.0.0::autoscaling::group, 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 (EC2 Auto Scaling) → Instance Pool
Origin API:aws::1.0.0::autoscaling::group. Target backend: oci::1.0.0::instance-pool.
Autoscaling fleet allocation (EC2 Auto Scaling) · 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: us-east-1; target: us-ashburn-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. us-east-1 → us-ashburn-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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- 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. OCI: E5 flexible shape (the shape this repo emits); Balanced block volume; first 10 TB of egress free.
- AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
- Amazon EC2 Auto Scaling pricing: https://aws.amazon.com/ec2/autoscaling/pricing/
- OCI price list API: https://apexapps.oracle.com/pls/apex/cetools/api/v1/products/
- 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-b9d9d674ce3cf500fa29965fbf7437beb4b8d35e / 2026-10-22.planning.2. Curve: workload-1.
Sources: AWS Price List API, AmazonEC2 offer (CSV), Amazon EC2 Auto Scaling pricing, OCI price list API.
Autoscaling fleet allocation (EC2 Auto Scaling) → Managed Instance Group
Origin API:aws::1.0.0::autoscaling::group. Target backend: google::1.0.0::compute::instance-group-manager.
Autoscaling fleet allocation (EC2 Auto Scaling) · 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: us-east-1; 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. us-east-1 → 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- 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.
- AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
- Amazon EC2 Auto Scaling pricing: https://aws.amazon.com/ec2/autoscaling/pricing/
- 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-b9670e638465fc9e05fb9206b711b51ee8d7611e / 2026-10-22.planning.2. Curve: workload-1.
Sources: AWS Price List API, AmazonEC2 offer (CSV), Amazon EC2 Auto Scaling pricing, Compute Engine general-purpose machine pricing, Disk and image pricing, Network pricing.
Autoscaling fleet allocation (EC2 Auto Scaling) → Virtual Machine Scale Sets
Origin API:aws::1.0.0::autoscaling::group. Target backend: azure::1.0.0::vmss.
Autoscaling fleet allocation (EC2 Auto Scaling) · 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: us-east-1; target: eastus; 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. us-east-1 → eastus, 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- 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. Azure: Dsv5 decomposed against Esv5; Premium SSD v2 disk; internet egress.
- AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
- Amazon EC2 Auto Scaling pricing: https://aws.amazon.com/ec2/autoscaling/pricing/
- Azure Retail Prices API: https://prices.azure.com/api/retail/prices
- 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-82812da0f423869e63eda34be31dc83ce60055ad / 2026-10-22.planning.2. Curve: workload-1.
Sources: AWS Price List API, AmazonEC2 offer (CSV), Amazon EC2 Auto Scaling pricing, Azure Retail Prices API.
Autoscaling fleet allocation (EC2 Auto Scaling) → VirtualMachinePool
Origin API:aws::1.0.0::autoscaling::group. Target backend: kubevirt::1.0.0::virtual-machine-pool.
Autoscaling fleet allocation (EC2 Auto Scaling) · 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: us-east-1; 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. us-east-1 → 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 is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- 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.
- KubeVirt (Apache-2.0, https://github.com/kubevirt/kubevirt/blob/main/LICENSE) runs VMs as pods: allocated VM CPU and memory hours bill as node capacity; virt-launcher pod overhead is not modeled. Management API counts never create VM-hours. No vendor tariff: the target runs on the customer’s Kubernetes nodes, so CPU, RAM and disk bill at the Kubernetes node reference rates, Compute Engine N2 in us-central1 (USD 0.031611/vCPU-hour, 0.004237/GiB-hour) with pd-balanced disk (0.10/GiB-month) and Premium Tier egress. The cost-optimized E2 series lists 0.02181159/vCPU-hour and 0.00292353/GiB-hour; AWS m6i/r6i and Azure D2s v5/E2s v5 both decompose to 0.033/vCPU-hour and 0.00375/GiB-hour. Requested CPU and RAM are billed; node bin-packing waste, system reservations and the cluster control-plane fee are not.
- AWS Price List API, AmazonEC2 offer (CSV): https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.csv
- Amazon EC2 Auto Scaling pricing: https://aws.amazon.com/ec2/autoscaling/pricing/
- 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-3ce4fd3066be8e513dee674ece91d26221463200 / 2026-10-22.planning.2. Curve: workload-1.
Sources: AWS Price List API, AmazonEC2 offer (CSV), Amazon EC2 Auto Scaling 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.