> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tensor9.com/llms.txt
> Use this file to discover all available pages before exploring further.
# EKS Cluster costs
> Compare EKS Cluster backend choices using explicit service-adapter planning assumptions.
Tensor9 BYOC planning comparisons for `aws::1.0.0::eks::cluster`, with backend choices shown together. Read [how to think about service-adapter costs](/byoc/service-adapters/debugging/costs/overview) for price scope and capacity qualification, or return to [additional services](/byoc/service-adapters/debugging/costs/additional-services).
## Managed Kubernetes and discovery → AKS Cluster
Origin API: `aws::1.0.0::eks::cluster`. Target backend: `azure::1.0.0::aks::cluster`.
**Planning estimate with editable assumptions.** Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
### Managed Kubernetes and discovery · Worker CPU-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Worker CPU-hours per month (vCPU-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 189.8 | Planning native backend | 207.32 | 17.52 |
| 1460 | 248.2 | Planning native backend | 274.48 | 26.28 |
| 5840 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 23360 | 1124.2 | Planning native backend | 1281.88 | 157.68 |
| 93440 | 3927.4 | Planning native backend | 4505.56 | 578.16 |
| 373760 | 15140.2 | Planning native backend | 17400.28 | 2260.08 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-6a931ee23628cbfccc0fa64e705381b4de4a686b` / `2026-10-18.planning.1`. Curve: `workload-1`.
### Managed Kubernetes and discovery · Cluster-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Cluster-hours per month (cluster-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 350.4 | Planning native backend | 402.96 | 52.56 |
| 730 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 3650 | 715.4 | Planning native backend | 767.96 | 52.56 |
| 7300 | 1080.4 | Planning native backend | 1132.96 | 52.56 |
| 36500 | 4000.4 | Planning native backend | 4052.96 | 52.56 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-6a931ee23628cbfccc0fa64e705381b4de4a686b` / `2026-10-18.planning.1`. Curve: `workload-2`.
## Managed Kubernetes and discovery → GKE Cluster
Origin API: `aws::1.0.0::eks::cluster`. Target backend: `google::1.0.0::gke::cluster`.
**Planning estimate with editable assumptions.** Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
### Managed Kubernetes and discovery · Worker CPU-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Worker CPU-hours per month (vCPU-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 189.8 | Planning native backend | 207.32 | 17.52 |
| 1460 | 248.2 | Planning native backend | 274.48 | 26.28 |
| 5840 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 23360 | 1124.2 | Planning native backend | 1281.88 | 157.68 |
| 93440 | 3927.4 | Planning native backend | 4505.56 | 578.16 |
| 373760 | 15140.2 | Planning native backend | 17400.28 | 2260.08 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-b27aee57c58705505372fd0eb653bbf06b3c15f6` / `2026-10-18.planning.1`. Curve: `workload-1`.
### Managed Kubernetes and discovery · Cluster-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Cluster-hours per month (cluster-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 350.4 | Planning native backend | 402.96 | 52.56 |
| 730 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 3650 | 715.4 | Planning native backend | 767.96 | 52.56 |
| 7300 | 1080.4 | Planning native backend | 1132.96 | 52.56 |
| 36500 | 4000.4 | Planning native backend | 4052.96 | 52.56 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-b27aee57c58705505372fd0eb653bbf06b3c15f6` / `2026-10-18.planning.1`. Curve: `workload-2`.
## Managed Kubernetes and discovery → Kubernetes Cluster
Origin API: `aws::1.0.0::eks::cluster`. Target backend: `kubernetes::1.0.0::cluster`.
**Planning estimate with editable assumptions.** Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
**Native or deployment mapping.** Applications use the target cluster's Kubernetes API directly. This mapping does not expose an EKS management adapter endpoint. Kubernetes API availability and pod scheduling are not measured as service-adapter request latency. Cost estimates describe the selected service resources; operation coverage remains separate.
### Managed Kubernetes and discovery · Worker CPU-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
Estimated allocation from planning assumptions; not benchmark calibrated. Only discrete samples are shown. Unpriced means no target quote or cost difference is available within the sizing policy.
| Worker CPU-hours per month (vCPU-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 189.8 | Planning allocation · one copy | 471.06 | 281.26 |
| 0 | 189.8 | Planning allocation · two copies | 942.12 | 752.32 |
| 1460 | 248.2 | Planning allocation · one copy | 471.06 | 222.86 |
| 1460 | 248.2 | Planning allocation · two copies | 942.12 | 693.92 |
| 5840 | 423.4 | Planning allocation · one copy | 881.32 | 457.92 |
| 5840 | 423.4 | Planning allocation · two copies | 1762.64 | 1339.24 |
| 23360 | 1124.2 | Planning allocation · one copy | 3474.28 | 2350.08 |
| 23360 | 1124.2 | Planning allocation · two copies | 6948.56 | 5824.36 |
| 93440 | 3927.4 | Planning allocation · one copy | Unpriced | Unavailable |
| 93440 | 3927.4 | Planning allocation · two copies | Unpriced | Unavailable |
| 373760 | 15140.2 | Planning allocation · one copy | Unpriced | Unavailable |
| 373760 | 15140.2 | Planning allocation · two copies | Unpriced | Unavailable |
**Estimated allocation from planning assumptions; not benchmark calibrated.**
The sizing policy grows compute with translated work and peak headroom, memory with compute and working set, and disk with resident working state and reserve. Monthly usage is distinct from resident data; each workload's assumptions define the translation. HA changes pricing, not this policy's throughput estimate. Unpriced workloads exceed the policy's configuration range; no silent vertical cap or automatic sharding is assumed.
| Sample / scenario | Basis | Mean / peak work/s | Required vCPU | Allocated vCPU | Memory GiB | SSD GiB | Resident GiB | Policy | Constraints |
| - | - | -: | -: | -: | -: | -: | -: | - | - |
| 0 vCPU-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0 | 8 | 37 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 0 vCPU-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0 | 8 | 37 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1460 vCPU-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 2.3 | 8 | 37 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1460 vCPU-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 2.3 | 8 | 37 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 5840 vCPU-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 5840 vCPU-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 23360 vCPU-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 36.8 | 64 | 256 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 23360 vCPU-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 36.8 | 64 | 256 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 93440 vCPU-hour/month / Planning allocation · one copy | Unpriced | 0 / 0 | 147.2 | Unpriced | Unpriced | Unpriced | 0 | `service-adapter-planning-2026-10-18.1` | Demand exceeds the planning model's joint CPU/RAM allocation bounds (96 vCPU, 624 GiB RAM). |
| 93440 vCPU-hour/month / Planning allocation · two copies | Unpriced | 0 / 0 | 147.2 | Unpriced | Unpriced | Unpriced | 0 | `service-adapter-planning-2026-10-18.1` | Demand exceeds the planning model's joint CPU/RAM allocation bounds (96 vCPU, 624 GiB RAM). |
| 373760 vCPU-hour/month / Planning allocation · one copy | Unpriced | 0 / 0 | 588.8 | Unpriced | Unpriced | Unpriced | 0 | `service-adapter-planning-2026-10-18.1` | Demand exceeds the planning model's joint CPU/RAM allocation bounds (96 vCPU, 624 GiB RAM). |
| 373760 vCPU-hour/month / Planning allocation · two copies | Unpriced | 0 / 0 | 588.8 | Unpriced | Unpriced | Unpriced | 0 | `service-adapter-planning-2026-10-18.1` | Demand exceeds the planning model's joint CPU/RAM allocation bounds (96 vCPU, 624 GiB RAM). |
* Authored operation throughput, peak and working-set assumptions are not benchmark-calibrated.
* Stored GiB already includes the origin family's physical footprint assumptions; no second storage amplification is applied.
* The workload family already selected resource-hours; the generic operations/vCPU coefficient is not applied again.
* Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning allocation · one copy | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning allocation · one copy | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning allocation · one copy | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning allocation · one copy | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning allocation · one copy | Target / origin worker allocation | 1.15 | multiplier |
| Planning allocation · one copy | Target price guess · read | 0 | USD/read |
| Planning allocation · one copy | Target price guess · write | 0 | USD/write |
| Planning allocation · one copy | Target price guess · provider operation | 0 | USD/provider operation |
| Planning allocation · one copy | Target price guess · GiB-month | 0.17 | USD/GiB-month |
| Planning allocation · one copy | Target price guess · published GiB | 0 | USD/published GiB |
| Planning allocation · one copy | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning allocation · one copy | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning allocation · one copy | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning allocation · one copy | Target price guess · vCPU-hour | 0.05 | USD/vCPU-hour |
| Planning allocation · one copy | Target price guess · GiB-hour | 0.006 | USD/GiB-hour |
| Planning allocation · one copy | Target price guess · resource-hour | 0 | USD/resource-hour |
| Planning allocation · one copy | Target price guess · resource-month | 0 | USD/resource-month |
| Planning allocation · one copy | Target price guess · input token | 0 | USD/input token |
| Planning allocation · one copy | Target price guess · output token | 0 | USD/output token |
| Planning allocation · one copy | Approximate target service minimum | 0 | USD/month |
| Planning allocation · one copy | Minimum primary CPU | 2 | vCPU |
| Planning allocation · one copy | Minimum primary RAM | 8 | GiB |
| Planning allocation · one copy | Minimum primary disk | 100 | GiB |
| Planning allocation · one copy | Additional full-price standby copy | 0 | 0 or 1 |
| Planning allocation · one copy | Allocated share of provisioned cost | 1 | fraction |
| Planning allocation · one copy | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning allocation · one copy | Planning peak / mean work | 2 | multiplier |
| Planning allocation · one copy | Planning primary CPU utilization | 0.7 | fraction |
| Planning allocation · one copy | Resident state reserved in RAM | 0.1 | fraction |
| Planning allocation · one copy | Planning disk utilization | 0.7 | fraction |
| Planning allocation · one copy | Maintenance and log disk reserve | 20 | GiB |
| Planning allocation · one copy | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning allocation · one copy | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning allocation · one copy | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning allocation · one copy | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning allocation · one copy | Dependent object sink write price guess | 0.000005 | USD/write |
| Planning allocation · two copies | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning allocation · two copies | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning allocation · two copies | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning allocation · two copies | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning allocation · two copies | Target / origin worker allocation | 1.15 | multiplier |
| Planning allocation · two copies | Target price guess · read | 0 | USD/read |
| Planning allocation · two copies | Target price guess · write | 0 | USD/write |
| Planning allocation · two copies | Target price guess · provider operation | 0 | USD/provider operation |
| Planning allocation · two copies | Target price guess · GiB-month | 0.17 | USD/GiB-month |
| Planning allocation · two copies | Target price guess · published GiB | 0 | USD/published GiB |
| Planning allocation · two copies | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning allocation · two copies | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning allocation · two copies | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning allocation · two copies | Target price guess · vCPU-hour | 0.05 | USD/vCPU-hour |
| Planning allocation · two copies | Target price guess · GiB-hour | 0.006 | USD/GiB-hour |
| Planning allocation · two copies | Target price guess · resource-hour | 0 | USD/resource-hour |
| Planning allocation · two copies | Target price guess · resource-month | 0 | USD/resource-month |
| Planning allocation · two copies | Target price guess · input token | 0 | USD/input token |
| Planning allocation · two copies | Target price guess · output token | 0 | USD/output token |
| Planning allocation · two copies | Approximate target service minimum | 0 | USD/month |
| Planning allocation · two copies | Minimum primary CPU | 2 | vCPU |
| Planning allocation · two copies | Minimum primary RAM | 8 | GiB |
| Planning allocation · two copies | Minimum primary disk | 100 | GiB |
| Planning allocation · two copies | Additional full-price standby copy | 1 | 0 or 1 |
| Planning allocation · two copies | Allocated share of provisioned cost | 1 | fraction |
| Planning allocation · two copies | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning allocation · two copies | Planning peak / mean work | 2 | multiplier |
| Planning allocation · two copies | Planning primary CPU utilization | 0.7 | fraction |
| Planning allocation · two copies | Resident state reserved in RAM | 0.1 | fraction |
| Planning allocation · two copies | Planning disk utilization | 0.7 | fraction |
| Planning allocation · two copies | Maintenance and log disk reserve | 20 | GiB |
| Planning allocation · two copies | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning allocation · two copies | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning allocation · two copies | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning allocation · two copies | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning allocation · two copies | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* Native/deployment comparison scope: Applications use the target cluster's Kubernetes API directly. This mapping does not expose an EKS management adapter endpoint. Kubernetes API availability and pod scheduling are not measured as service-adapter request latency.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Named provisioned target: selected CPU, RAM and physical disk allocation grow with workload. No additional per-database-operation price is assumed. Managed service premiums and dedicated accelerator/model-fit requirements need explicit qualification.
* Authored operation throughput, peak and working-set assumptions are not benchmark-calibrated.
* Stored GiB already includes the origin family's physical footprint assumptions; no second storage amplification is applied.
* The workload family already selected resource-hours; the generic operations/vCPU coefficient is not applied again.
* Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-ce2b3cb77636f0d9f4da7786e5bf9ce9779b8216` / `2026-10-18.planning.1`. Curve: `workload-1`.
### Managed Kubernetes and discovery · Cluster-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
Estimated allocation from planning assumptions; not benchmark calibrated. Only discrete samples are shown. Unpriced means no target quote or cost difference is available within the sizing policy.
| Cluster-hours per month (cluster-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 350.4 | Planning allocation · one copy | 881.32 | 530.92 |
| 0 | 350.4 | Planning allocation · two copies | 1762.64 | 1412.24 |
| 730 | 423.4 | Planning allocation · one copy | 881.32 | 457.92 |
| 730 | 423.4 | Planning allocation · two copies | 1762.64 | 1339.24 |
| 3650 | 715.4 | Planning allocation · one copy | 881.32 | 165.92 |
| 3650 | 715.4 | Planning allocation · two copies | 1762.64 | 1047.24 |
| 7300 | 1080.4 | Planning allocation · one copy | 881.32 | -199.08 |
| 7300 | 1080.4 | Planning allocation · two copies | 1762.64 | 682.24 |
| 36500 | 4000.4 | Planning allocation · one copy | 881.32 | -3119.08 |
| 36500 | 4000.4 | Planning allocation · two copies | 1762.64 | -2237.76 |
**Estimated allocation from planning assumptions; not benchmark calibrated.**
The sizing policy grows compute with translated work and peak headroom, memory with compute and working set, and disk with resident working state and reserve. Monthly usage is distinct from resident data; each workload's assumptions define the translation. HA changes pricing, not this policy's throughput estimate. Unpriced workloads exceed the policy's configuration range; no silent vertical cap or automatic sharding is assumed.
| Sample / scenario | Basis | Mean / peak work/s | Required vCPU | Allocated vCPU | Memory GiB | SSD GiB | Resident GiB | Policy | Constraints |
| - | - | -: | -: | -: | -: | -: | -: | - | - |
| 0 cluster-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 0 cluster-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 730 cluster-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 730 cluster-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 3650 cluster-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 3650 cluster-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 7300 cluster-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 7300 cluster-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 36500 cluster-hour/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 36500 cluster-hour/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 9.2 | 16 | 64 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
* Authored operation throughput, peak and working-set assumptions are not benchmark-calibrated.
* Stored GiB already includes the origin family's physical footprint assumptions; no second storage amplification is applied.
* The workload family already selected resource-hours; the generic operations/vCPU coefficient is not applied again.
* Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning allocation · one copy | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning allocation · one copy | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning allocation · one copy | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning allocation · one copy | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning allocation · one copy | Target / origin worker allocation | 1.15 | multiplier |
| Planning allocation · one copy | Target price guess · read | 0 | USD/read |
| Planning allocation · one copy | Target price guess · write | 0 | USD/write |
| Planning allocation · one copy | Target price guess · provider operation | 0 | USD/provider operation |
| Planning allocation · one copy | Target price guess · GiB-month | 0.17 | USD/GiB-month |
| Planning allocation · one copy | Target price guess · published GiB | 0 | USD/published GiB |
| Planning allocation · one copy | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning allocation · one copy | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning allocation · one copy | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning allocation · one copy | Target price guess · vCPU-hour | 0.05 | USD/vCPU-hour |
| Planning allocation · one copy | Target price guess · GiB-hour | 0.006 | USD/GiB-hour |
| Planning allocation · one copy | Target price guess · resource-hour | 0 | USD/resource-hour |
| Planning allocation · one copy | Target price guess · resource-month | 0 | USD/resource-month |
| Planning allocation · one copy | Target price guess · input token | 0 | USD/input token |
| Planning allocation · one copy | Target price guess · output token | 0 | USD/output token |
| Planning allocation · one copy | Approximate target service minimum | 0 | USD/month |
| Planning allocation · one copy | Minimum primary CPU | 2 | vCPU |
| Planning allocation · one copy | Minimum primary RAM | 8 | GiB |
| Planning allocation · one copy | Minimum primary disk | 100 | GiB |
| Planning allocation · one copy | Additional full-price standby copy | 0 | 0 or 1 |
| Planning allocation · one copy | Allocated share of provisioned cost | 1 | fraction |
| Planning allocation · one copy | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning allocation · one copy | Planning peak / mean work | 2 | multiplier |
| Planning allocation · one copy | Planning primary CPU utilization | 0.7 | fraction |
| Planning allocation · one copy | Resident state reserved in RAM | 0.1 | fraction |
| Planning allocation · one copy | Planning disk utilization | 0.7 | fraction |
| Planning allocation · one copy | Maintenance and log disk reserve | 20 | GiB |
| Planning allocation · one copy | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning allocation · one copy | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning allocation · one copy | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning allocation · one copy | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning allocation · one copy | Dependent object sink write price guess | 0.000005 | USD/write |
| Planning allocation · two copies | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning allocation · two copies | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning allocation · two copies | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning allocation · two copies | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning allocation · two copies | Target / origin worker allocation | 1.15 | multiplier |
| Planning allocation · two copies | Target price guess · read | 0 | USD/read |
| Planning allocation · two copies | Target price guess · write | 0 | USD/write |
| Planning allocation · two copies | Target price guess · provider operation | 0 | USD/provider operation |
| Planning allocation · two copies | Target price guess · GiB-month | 0.17 | USD/GiB-month |
| Planning allocation · two copies | Target price guess · published GiB | 0 | USD/published GiB |
| Planning allocation · two copies | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning allocation · two copies | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning allocation · two copies | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning allocation · two copies | Target price guess · vCPU-hour | 0.05 | USD/vCPU-hour |
| Planning allocation · two copies | Target price guess · GiB-hour | 0.006 | USD/GiB-hour |
| Planning allocation · two copies | Target price guess · resource-hour | 0 | USD/resource-hour |
| Planning allocation · two copies | Target price guess · resource-month | 0 | USD/resource-month |
| Planning allocation · two copies | Target price guess · input token | 0 | USD/input token |
| Planning allocation · two copies | Target price guess · output token | 0 | USD/output token |
| Planning allocation · two copies | Approximate target service minimum | 0 | USD/month |
| Planning allocation · two copies | Minimum primary CPU | 2 | vCPU |
| Planning allocation · two copies | Minimum primary RAM | 8 | GiB |
| Planning allocation · two copies | Minimum primary disk | 100 | GiB |
| Planning allocation · two copies | Additional full-price standby copy | 1 | 0 or 1 |
| Planning allocation · two copies | Allocated share of provisioned cost | 1 | fraction |
| Planning allocation · two copies | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning allocation · two copies | Planning peak / mean work | 2 | multiplier |
| Planning allocation · two copies | Planning primary CPU utilization | 0.7 | fraction |
| Planning allocation · two copies | Resident state reserved in RAM | 0.1 | fraction |
| Planning allocation · two copies | Planning disk utilization | 0.7 | fraction |
| Planning allocation · two copies | Maintenance and log disk reserve | 20 | GiB |
| Planning allocation · two copies | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning allocation · two copies | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning allocation · two copies | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning allocation · two copies | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning allocation · two copies | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* Native/deployment comparison scope: Applications use the target cluster's Kubernetes API directly. This mapping does not expose an EKS management adapter endpoint. Kubernetes API availability and pod scheduling are not measured as service-adapter request latency.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Named provisioned target: selected CPU, RAM and physical disk allocation grow with workload. No additional per-database-operation price is assumed. Managed service premiums and dedicated accelerator/model-fit requirements need explicit qualification.
* Authored operation throughput, peak and working-set assumptions are not benchmark-calibrated.
* Stored GiB already includes the origin family's physical footprint assumptions; no second storage amplification is applied.
* The workload family already selected resource-hours; the generic operations/vCPU coefficient is not applied again.
* Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-ce2b3cb77636f0d9f4da7786e5bf9ce9779b8216` / `2026-10-18.planning.1`. Curve: `workload-2`.
## Managed Kubernetes and discovery → OKE Cluster
Origin API: `aws::1.0.0::eks::cluster`. Target backend: `oci::1.0.0::oke::cluster`.
**Planning estimate with editable assumptions.** Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
### Managed Kubernetes and discovery · Worker CPU-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Worker CPU-hours per month (vCPU-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 189.8 | Planning native backend | 207.32 | 17.52 |
| 1460 | 248.2 | Planning native backend | 274.48 | 26.28 |
| 5840 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 23360 | 1124.2 | Planning native backend | 1281.88 | 157.68 |
| 93440 | 3927.4 | Planning native backend | 4505.56 | 578.16 |
| 373760 | 15140.2 | Planning native backend | 17400.28 | 2260.08 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-00d4314e21f00831443da77b5e630dfa0a1c813c` / `2026-10-18.planning.1`. Curve: `workload-1`.
### Managed Kubernetes and discovery · Cluster-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Cluster-hours per month (cluster-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 350.4 | Planning native backend | 402.96 | 52.56 |
| 730 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 3650 | 715.4 | Planning native backend | 767.96 | 52.56 |
| 7300 | 1080.4 | Planning native backend | 1132.96 | 52.56 |
| 36500 | 4000.4 | Planning native backend | 4052.96 | 52.56 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-00d4314e21f00831443da77b5e630dfa0a1c813c` / `2026-10-18.planning.1`. Curve: `workload-2`.
## Managed Kubernetes and discovery → Scaleway Kapsule Cluster
Origin API: `aws::1.0.0::eks::cluster`. Target backend: `scaleway::1.0.0::kapsule::cluster`.
**Planning estimate with editable assumptions.** Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
**Native or deployment mapping.** Applications use the target cluster's Kubernetes API directly. This mapping does not expose an EKS management adapter endpoint. Kubernetes API availability and pod scheduling are not measured as service-adapter request latency. Cost estimates describe the selected service resources; operation coverage remains separate.
### Managed Kubernetes and discovery · Worker CPU-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Worker CPU-hours per month (vCPU-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 189.8 | Planning native backend | 207.32 | 17.52 |
| 1460 | 248.2 | Planning native backend | 274.48 | 26.28 |
| 5840 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 23360 | 1124.2 | Planning native backend | 1281.88 | 157.68 |
| 93440 | 3927.4 | Planning native backend | 4505.56 | 578.16 |
| 373760 | 15140.2 | Planning native backend | 17400.28 | 2260.08 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* Native/deployment comparison scope: Applications use the target cluster's Kubernetes API directly. This mapping does not expose an EKS management adapter endpoint. Kubernetes API availability and pod scheduling are not measured as service-adapter request latency.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-d585090f0b17ff92b330be9ab6cfb314c415047c` / `2026-10-18.planning.1`. Curve: `workload-1`.
### Managed Kubernetes and discovery · Cluster-hours per month
**Planning estimate with editable assumptions.** These authored unit rates and capacity assumptions require provider-price verification and representative benchmarks. They do not constitute verified list-price quotes or evidence that an adapter is available.
Estimated monthly service charges from native source usage; no calculator input is required. Adapter hosting and Tensor9 fees are excluded. Source: Explicit source planning region; target: Explicit target planning region; currency: USD.
Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.
| Cluster-hours per month (cluster-hour/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 350.4 | Planning native backend | 402.96 | 52.56 |
| 730 | 423.4 | Planning native backend | 475.96 | 52.56 |
| 3650 | 715.4 | Planning native backend | 767.96 | 52.56 |
| 7300 | 1080.4 | Planning native backend | 1132.96 | 52.56 |
| 36500 | 4000.4 | Planning native backend | 4052.96 | 52.56 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Allocated cluster control plane | 0.1 | USD/cluster-hour |
| Planning native backend | Origin price guess · Allocated worker CPU | 0.04 | USD/vCPU-hour |
| Planning native backend | Origin price guess · Allocated worker memory | 0.005 | USD/GiB-hour |
| Planning native backend | Origin price guess · Cluster management requests | 0 | USD/Requests |
| Planning native backend | Target / origin worker allocation | 1.15 | multiplier |
| Planning native backend | Target price guess · read | 0 | USD/read |
| Planning native backend | Target price guess · write | 0 | USD/write |
| Planning native backend | Target price guess · provider operation | 0 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0.1 | USD/GiB-month |
| Planning native backend | Target price guess · published GiB | 0 | USD/published GiB |
| Planning native backend | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Planning native backend | Target price guess · network GiB | 0.09 | USD/network GiB |
| Planning native backend | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Planning native backend | Target price guess · vCPU-hour | 0.04 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.005 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0.1 | USD/resource-hour |
| Planning native backend | Target price guess · resource-month | 0 | USD/resource-month |
| Planning native backend | Target price guess · input token | 0 | USD/input token |
| Planning native backend | Target price guess · output token | 0 | USD/output token |
| Planning native backend | Approximate target service minimum | 0 | USD/month |
| Planning native backend | Minimum primary CPU | 2 | vCPU |
| Planning native backend | Minimum primary RAM | 8 | GiB |
| Planning native backend | Minimum primary disk | 100 | GiB |
| Planning native backend | Additional full-price standby copy | 0 | 0 or 1 |
| Planning native backend | Allocated share of provisioned cost | 1 | fraction |
| Planning native backend | Planning read/write work per vCPU-second | 1000 | operations/vCPU-second |
| Planning native backend | Planning peak / mean work | 2 | multiplier |
| Planning native backend | Planning primary CPU utilization | 0.7 | fraction |
| Planning native backend | Resident state reserved in RAM | 0.1 | fraction |
| Planning native backend | Planning disk utilization | 0.7 | fraction |
| Planning native backend | Maintenance and log disk reserve | 20 | GiB |
| Planning native backend | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Planning native backend | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Planning native backend | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Planning native backend | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Planning native backend | Dependent object sink write price guess | 0.000005 | USD/write |
* 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 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, 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.
* Editable authored planning guesses, not verified provider tariffs, 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.
* Native/deployment comparison scope: Applications use the target cluster's Kubernetes API directly. This mapping does not expose an EKS management adapter endpoint. Kubernetes API availability and pod scheduling are not measured as service-adapter request latency.
* All default unit prices and capacity coefficients 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.
* The discovery adapter does not itself own or provision the cluster. Allocate existing cluster capacity once across adapters.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Cluster control-plane hours and worker CPU/RAM are separately allocated. Allocate shared cluster costs once across adapters.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Worker disks, GPUs, ingress, network traffic, extended support and observability.
* 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.
Planning assumptions authored: 2026-10-18. Model: `plan-d585090f0b17ff92b330be9ab6cfb314c415047c` / `2026-10-18.planning.1`. Curve: `workload-2`.
See the [service catalog](/byoc/service-adapters/catalog) for operation coverage, supported directions and backend limitations.
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