> ## 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.
# Lambda Function costs
> Compare Lambda Function backend choices using explicit service-adapter planning assumptions.
Tensor9 Cloud Adapter planning comparisons for `aws::1.0.0::lambda::function`, with backend choices shown together. Read [how to think about service-adapter costs](/cloud-adapter/costs/overview) for price scope and capacity qualification, or return to [additional services](/cloud-adapter/costs/additional-services).
## Lambda function execution → AKS function Deployments
Origin API: `aws::1.0.0::lambda::function`. 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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 0 | -2 |
| 1000 | 2.0166667 | Planning native backend | 0.023611111111111111111111111111111113 | -1.993055588888888888888888888888888887 |
| 10000 | 2.166667 | Planning native backend | 0.23611111111111111111111111111111113 | -1.93055588888888888888888888888888887 |
| 100000 | 3.66667 | Planning native backend | 2.3611111111111111111111111111111113 | -1.3055588888888888888888888888888887 |
| 1000000 | 18.6667 | Planning native backend | 23.611111111111111111111111111111113 | 4.944411111111111111111111111111113 |
| 10000000 | 168.667 | Planning native backend | 236.11111111111111111111111111111113 | 67.44411111111111111111111111111113 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* 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:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-9d73a063ca41aca007829fa24fe1f69ef5f1e5d3` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Azure Container Apps
Origin API: `aws::1.0.0::lambda::function`. Target backend: `azure::1.0.0::container-apps`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 4 | 2 |
| 1000 | 2.0166667 | Planning native backend | 4.05050000000000000000000000000000000404 | 2.03383330000000000000000000000000000404 |
| 10000 | 2.166667 | Planning native backend | 4.5050000000000000000000000000000000404 | 2.3383330000000000000000000000000000404 |
| 100000 | 3.66667 | Planning native backend | 9.050000000000000000000000000000000404 | 5.383330000000000000000000000000000404 |
| 1000000 | 18.6667 | Planning native backend | 54.50000000000000000000000000000000404 | 35.83330000000000000000000000000000404 |
| 10000000 | 168.667 | Planning native backend | 509.0000000000000000000000000000000404 | 340.3330000000000000000000000000000404 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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 | 0.0000004 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0 | 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 | 0.0864 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.009 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Execution CPU-hours and memory GiB-hours use aggregate translated execution duration, plus invocation operations. Concurrency discounts, minimum billable durations and idle-instance charges are not inferred.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-18784886d9472a4de5d83c55f6d3c7a66412e30b` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Azure Functions (Flex Consumption)
Origin API: `aws::1.0.0::lambda::function`. Target backend: `azure::1.0.0::functions::flex-consumption`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 4 | 2 |
| 1000 | 2.0166667 | Planning native backend | 4.05050000000000000000000000000000000404 | 2.03383330000000000000000000000000000404 |
| 10000 | 2.166667 | Planning native backend | 4.5050000000000000000000000000000000404 | 2.3383330000000000000000000000000000404 |
| 100000 | 3.66667 | Planning native backend | 9.050000000000000000000000000000000404 | 5.383330000000000000000000000000000404 |
| 1000000 | 18.6667 | Planning native backend | 54.50000000000000000000000000000000404 | 35.83330000000000000000000000000000404 |
| 10000000 | 168.667 | Planning native backend | 509.0000000000000000000000000000000404 | 340.3330000000000000000000000000000404 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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 | 0.0000004 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0 | 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 | 0.0864 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.009 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Execution CPU-hours and memory GiB-hours use aggregate translated execution duration, plus invocation operations. Concurrency discounts, minimum billable durations and idle-instance charges are not inferred.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-606c390b831b0582ffcc26ba50422236ac661177` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Azure Functions (Premium)
Origin API: `aws::1.0.0::lambda::function`. Target backend: `azure::1.0.0::functions::premium`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning allocation · one copy | 150 | 148 |
| 0 | 2 | Planning allocation · two copies | 250.08 | 248.08 |
| 1000 | 2.0166667 | Planning allocation · one copy | 150 | 147.9833333 |
| 1000 | 2.0166667 | Planning allocation · two copies | 250.08 | 248.0633333 |
| 10000 | 2.166667 | Planning allocation · one copy | 150 | 147.833333 |
| 10000 | 2.166667 | Planning allocation · two copies | 250.08 | 247.913333 |
| 100000 | 3.66667 | Planning allocation · one copy | 150 | 146.33333 |
| 100000 | 3.66667 | Planning allocation · two copies | 250.08 | 246.41333 |
| 1000000 | 18.6667 | Planning allocation · one copy | 150 | 131.3333 |
| 1000000 | 18.6667 | Planning allocation · two copies | 250.08 | 231.4133 |
| 10000000 | 168.667 | Planning allocation · one copy | 449.16 | 280.493 |
| 10000000 | 168.667 | Planning allocation · two copies | 898.32 | 729.653 |
**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 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 0 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.0007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.0007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 100000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.07610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 100000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.07610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.7610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.7610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 7.610350076103500761035007610350077 | 8 | 32 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 7.610350076103500761035007610350077 | 8 | 32 | 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 · Lambda invocations | 0.0000002 | USD/Requests |
| Planning allocation · one copy | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning allocation · one copy | Origin allocated function memory | 0.5 | GiB |
| Planning allocation · one copy | Target CPU per execution | 1 | vCPU |
| Planning allocation · one copy | Target memory per execution | 0.5 | GiB |
| Planning allocation · one copy | Target / origin duration | 1 | 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 | 150 | 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 · Lambda invocations | 0.0000002 | USD/Requests |
| Planning allocation · two copies | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning allocation · two copies | Origin allocated function memory | 0.5 | GiB |
| Planning allocation · two copies | Target CPU per execution | 1 | vCPU |
| Planning allocation · two copies | Target memory per execution | 0.5 | GiB |
| Planning allocation · two copies | Target / origin duration | 1 | 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 | 150 | 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.
* All default unit prices and capacity coefficients are editable authored planning guesses, not measured capacity or a provider quote.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* 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.
* One prewarmed Premium instance is an authored monthly minimum guess; execution-derived resource demand does not remove this idle allocation. The editable monthly minimum and usage-equivalent charge compare using their maximum, not their sum; durable adapter state and independently selected network costs remain separate. This is not a verified provider tariff.
* 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:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-7a1e608fdadecb2610ce214e1529ccbaaefb9bfe` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Cloud Run
Origin API: `aws::1.0.0::lambda::function`. Target backend: `google::1.0.0::cloud-run`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 4 | 2 |
| 1000 | 2.0166667 | Planning native backend | 4.05050000000000000000000000000000000404 | 2.03383330000000000000000000000000000404 |
| 10000 | 2.166667 | Planning native backend | 4.5050000000000000000000000000000000404 | 2.3383330000000000000000000000000000404 |
| 100000 | 3.66667 | Planning native backend | 9.050000000000000000000000000000000404 | 5.383330000000000000000000000000000404 |
| 1000000 | 18.6667 | Planning native backend | 54.50000000000000000000000000000000404 | 35.83330000000000000000000000000000404 |
| 10000000 | 168.667 | Planning native backend | 509.0000000000000000000000000000000404 | 340.3330000000000000000000000000000404 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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 | 0.0000004 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0 | 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 | 0.0864 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.009 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Execution CPU-hours and memory GiB-hours use aggregate translated execution duration, plus invocation operations. Concurrency discounts, minimum billable durations and idle-instance charges are not inferred.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-9d04bec46767ff3a74f7d316fb8aa2df7bf73b7d` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Knative Service
Origin API: `aws::1.0.0::lambda::function`. Target backend: `knative::1.0.0::service`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning allocation · one copy | 125.04 | 123.04 |
| 0 | 2 | Planning allocation · two copies | 250.08 | 248.08 |
| 1000 | 2.0166667 | Planning allocation · one copy | 125.04 | 123.0233333 |
| 1000 | 2.0166667 | Planning allocation · two copies | 250.08 | 248.0633333 |
| 10000 | 2.166667 | Planning allocation · one copy | 125.04 | 122.873333 |
| 10000 | 2.166667 | Planning allocation · two copies | 250.08 | 247.913333 |
| 100000 | 3.66667 | Planning allocation · one copy | 125.04 | 121.37333 |
| 100000 | 3.66667 | Planning allocation · two copies | 250.08 | 246.41333 |
| 1000000 | 18.6667 | Planning allocation · one copy | 125.04 | 106.3733 |
| 1000000 | 18.6667 | Planning allocation · two copies | 250.08 | 231.4133 |
| 10000000 | 168.667 | Planning allocation · one copy | 449.16 | 280.493 |
| 10000000 | 168.667 | Planning allocation · two copies | 898.32 | 729.653 |
**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 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 0 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.0007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.0007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 100000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.07610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 100000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.07610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.7610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.7610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 7.610350076103500761035007610350077 | 8 | 32 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 7.610350076103500761035007610350077 | 8 | 32 | 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 · Lambda invocations | 0.0000002 | USD/Requests |
| Planning allocation · one copy | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning allocation · one copy | Origin allocated function memory | 0.5 | GiB |
| Planning allocation · one copy | Target CPU per execution | 1 | vCPU |
| Planning allocation · one copy | Target memory per execution | 0.5 | GiB |
| Planning allocation · one copy | Target / origin duration | 1 | 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 · Lambda invocations | 0.0000002 | USD/Requests |
| Planning allocation · two copies | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning allocation · two copies | Origin allocated function memory | 0.5 | GiB |
| Planning allocation · two copies | Target CPU per execution | 1 | vCPU |
| Planning allocation · two copies | Target memory per execution | 0.5 | GiB |
| Planning allocation · two copies | Target / origin duration | 1 | 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.
* All default unit prices and capacity coefficients are editable authored planning guesses, not measured capacity or a provider quote.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* 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:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-862fa044707b19e43919c2565b77c04c1dc5217b` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Kubernetes Cluster
Origin API: `aws::1.0.0::lambda::function`. 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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning allocation · one copy | 125.04 | 123.04 |
| 0 | 2 | Planning allocation · two copies | 250.08 | 248.08 |
| 1000 | 2.0166667 | Planning allocation · one copy | 125.04 | 123.0233333 |
| 1000 | 2.0166667 | Planning allocation · two copies | 250.08 | 248.0633333 |
| 10000 | 2.166667 | Planning allocation · one copy | 125.04 | 122.873333 |
| 10000 | 2.166667 | Planning allocation · two copies | 250.08 | 247.913333 |
| 100000 | 3.66667 | Planning allocation · one copy | 125.04 | 121.37333 |
| 100000 | 3.66667 | Planning allocation · two copies | 250.08 | 246.41333 |
| 1000000 | 18.6667 | Planning allocation · one copy | 125.04 | 106.3733 |
| 1000000 | 18.6667 | Planning allocation · two copies | 250.08 | 231.4133 |
| 10000000 | 168.667 | Planning allocation · one copy | 449.16 | 280.493 |
| 10000000 | 168.667 | Planning allocation · two copies | 898.32 | 729.653 |
**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 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 0 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.0007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.0007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.007610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 100000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.07610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 100000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.07610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 0.7610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 1000000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 0.7610350076103500761035007610350077 | 2 | 8 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000000 GB-second/month / Planning allocation · one copy | PlanningAssumption | 0 / 0 | 7.610350076103500761035007610350077 | 8 | 32 | 100 | 0 | `service-adapter-planning-2026-10-18.1` | None reported |
| 10000000 GB-second/month / Planning allocation · two copies | PlanningAssumption | 0 / 0 | 7.610350076103500761035007610350077 | 8 | 32 | 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 · Lambda invocations | 0.0000002 | USD/Requests |
| Planning allocation · one copy | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning allocation · one copy | Origin allocated function memory | 0.5 | GiB |
| Planning allocation · one copy | Target CPU per execution | 1 | vCPU |
| Planning allocation · one copy | Target memory per execution | 0.5 | GiB |
| Planning allocation · one copy | Target / origin duration | 1 | 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 · Lambda invocations | 0.0000002 | USD/Requests |
| Planning allocation · two copies | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning allocation · two copies | Origin allocated function memory | 0.5 | GiB |
| Planning allocation · two copies | Target CPU per execution | 1 | vCPU |
| Planning allocation · two copies | Target memory per execution | 0.5 | GiB |
| Planning allocation · two copies | Target / origin duration | 1 | 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.
* All default unit prices and capacity coefficients are editable authored planning guesses, not measured capacity or a provider quote.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* 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:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-4ca7d416735f5e72009398967eee802fcd9a6157` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → OCI Functions
Origin API: `aws::1.0.0::lambda::function`. Target backend: `oci::1.0.0::functions`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 4 | 2 |
| 1000 | 2.0166667 | Planning native backend | 4.05050000000000000000000000000000000404 | 2.03383330000000000000000000000000000404 |
| 10000 | 2.166667 | Planning native backend | 4.5050000000000000000000000000000000404 | 2.3383330000000000000000000000000000404 |
| 100000 | 3.66667 | Planning native backend | 9.050000000000000000000000000000000404 | 5.383330000000000000000000000000000404 |
| 1000000 | 18.6667 | Planning native backend | 54.50000000000000000000000000000000404 | 35.83330000000000000000000000000000404 |
| 10000000 | 168.667 | Planning native backend | 509.0000000000000000000000000000000404 | 340.3330000000000000000000000000000404 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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 | 0.0000004 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0 | 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 | 0.0864 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.009 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Execution CPU-hours and memory GiB-hours use aggregate translated execution duration, plus invocation operations. Concurrency discounts, minimum billable durations and idle-instance charges are not inferred.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-69be9ded38a3d521964960b7b1a3ba4a63c49cd8` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → OKE function Deployments
Origin API: `aws::1.0.0::lambda::function`. 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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 0 | -2 |
| 1000 | 2.0166667 | Planning native backend | 0.023611111111111111111111111111111113 | -1.993055588888888888888888888888888887 |
| 10000 | 2.166667 | Planning native backend | 0.23611111111111111111111111111111113 | -1.93055588888888888888888888888888887 |
| 100000 | 3.66667 | Planning native backend | 2.3611111111111111111111111111111113 | -1.3055588888888888888888888888888887 |
| 1000000 | 18.6667 | Planning native backend | 23.611111111111111111111111111111113 | 4.944411111111111111111111111111113 |
| 10000000 | 168.667 | Planning native backend | 236.11111111111111111111111111111113 | 67.44411111111111111111111111111113 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* 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:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-547ac01dce732c6a239f582fc198ec24d71ded9b` / `2026-10-18.planning.1`. Curve: `workload-1`.
## Lambda function execution → Scaleway Serverless Containers
Origin API: `aws::1.0.0::lambda::function`. Target backend: `scaleway::1.0.0::serverless::container`.
**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.
### Lambda function execution · Billed execution GB-seconds 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.
| Billed execution GB-seconds per month (GB-second/month) | Origin | Target scenario | Target | Difference |
| -: | -: | - | -: | -: |
| 0 | 2 | Planning native backend | 4 | 2 |
| 1000 | 2.0166667 | Planning native backend | 4.05050000000000000000000000000000000404 | 2.03383330000000000000000000000000000404 |
| 10000 | 2.166667 | Planning native backend | 4.5050000000000000000000000000000000404 | 2.3383330000000000000000000000000000404 |
| 100000 | 3.66667 | Planning native backend | 9.050000000000000000000000000000000404 | 5.383330000000000000000000000000000404 |
| 1000000 | 18.6667 | Planning native backend | 54.50000000000000000000000000000000404 | 35.83330000000000000000000000000000404 |
| 10000000 | 168.667 | Planning native backend | 509.0000000000000000000000000000000404 | 340.3330000000000000000000000000000404 |
**Curve assumptions**
| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Planning native backend | Origin price guess · Lambda invocations | 0.0000002 | USD/Requests |
| Planning native backend | Origin price guess · Lambda billed execution | 0.0000166667 | USD/GB-second |
| Planning native backend | Origin allocated function memory | 0.5 | GiB |
| Planning native backend | Target CPU per execution | 1 | vCPU |
| Planning native backend | Target memory per execution | 0.5 | GiB |
| Planning native backend | Target / origin duration | 1 | 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 | 0.0000004 | USD/provider operation |
| Planning native backend | Target price guess · GiB-month | 0 | 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 | 0.0864 | USD/vCPU-hour |
| Planning native backend | Target price guess · GiB-hour | 0.009 | USD/GiB-hour |
| Planning native backend | Target price guess · resource-hour | 0 | 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.
* Execution seconds are billed GB-seconds / selected origin memory; target CPU and RAM-hours follow the selected allocation and duration multiplier.
* Invocation count and execution duration are independent inputs. The duration curve holds invocation count fixed.
* All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
* Execution CPU-hours and memory GiB-hours use aggregate translated execution duration, plus invocation operations. Concurrency discounts, minimum billable durations and idle-instance charges are not inferred.
Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.
Excluded costs and workload features:
* Provisioned concurrency, request/response streaming, ephemeral storage premiums, logs, function networking and event-source service charges.
* Self-managed or Premium backends need their provisioned idle floor separately; execution resource-hours alone do not establish scale-to-zero.
* 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-6fee5bfff3984b1bbc63534d7cf6617b50eb724b` / `2026-10-18.planning.1`. Curve: `workload-1`.
See the [service catalog](/cloud-adapter/service-catalog/aws/catalog) for operation coverage, supported directions and backend limitations.
This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.
