> ## 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.

# AppConfig costs

> Compare AppConfig backend choices using explicit service-adapter planning assumptions.

Tensor9 BYOC planning comparisons for `aws::1.0.0::appconfig`, with backend choices shown together. Read [how Tensor9 estimates service-adapter costs](/byoc/costs/overview.md) for price scope and capacity qualification, or return to [additional services](/byoc/costs/additional-services.md).

## AWS AppConfig → Azure App Configuration

Origin API: `aws::1.0.0::appconfig`. Target backend: `azure::1.0.0::app-configuration`.

**Native or deployment mapping.** Configuration is seeded during deployment and read through the target's native SDK. There is no AppConfig request-serving adapter on this path. Cost estimates describe the selected service resources; operation coverage remains separate.

### AWS AppConfig · Configuration polls

Estimated monthly service charges by Configuration polls. Adapter hosting and Tensor9 fees are excluded. Source: us-east-1; target: eastus; currency: USD.

![AWS AppConfig · Configuration polls: monthly service charges by Configuration polls. Exact values are in the following table.](/images/diagrams/service-cost/1c00c90866a452f9fffa50a3bd57afa34ae4ae0b1c7f6d4b16331530af542739-light.svg)

![AWS AppConfig · Configuration polls: monthly service charges by Configuration polls. Exact values are in the following table.](/images/diagrams/service-cost/ba2dfff713c0ff87b4f9eefa6e2310df203afb87425f7b9b9714d39906515533-dark.svg)

Comparison pills describe all sampled scale points; card amounts show the named workload. Costs The Same means within 20% at every point. Costs Depend includes mixed results and unpriced samples.

Exact sampled model outputs in USD/month. Difference means target minus origin; a positive difference means the target costs more.

| Configuration polls (operations/s) | AppConfig | Target scenario | Azure App Configuration | Difference |
| -: | -: | - | -: | -: |
| 0 | 8 | Azure App Configuration | 36.5 | 28.5 |
| 1 | 8.5256 | Azure App Configuration | 36.5 | 27.9744 |
| 10 | 13.256 | Azure App Configuration | 157.68056 | 144.42456 |
| 100 | 60.56 | Azure App Configuration | 1576.80056 | 1516.24056 |
| 1000 | 533.6 | Azure App Configuration | 15768.00056 | 15234.40056 |
| 10000 | 5264 | Azure App Configuration | 157680.00056 | 152416.00056 |

**Curve assumptions**

| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Azure App Configuration | Origin list price · Configuration polls | 0.0000002 | USD/requests |
| Azure App Configuration | Origin list price · Updated configurations delivered | 0.0008 | USD/deliveries |
| Azure App Configuration | Target reads per source poll | 1 | reads/poll |
| Azure App Configuration | Configuration changes seeded | 100 | writes/month |
| Azure App Configuration | Retained configuration state | 1 | GiB |
| Azure App Configuration | Target configuration stores | 1 | stores |
| Azure App Configuration | Target price guess · read | 0 | USD/read |
| Azure App Configuration | Target price guess · write | 0 | USD/write |
| Azure App Configuration | Target list price · provider operation | 0.000006 | USD/provider operation |
| Azure App Configuration | Target price guess · GiB-month | 0 | USD/GiB-month |
| Azure App Configuration | Target price guess · published GiB | 0 | USD/published GiB |
| Azure App Configuration | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Azure App Configuration | Target price guess · network GiB | 0 | USD/network GiB |
| Azure App Configuration | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Azure App Configuration | Target price guess · vCPU-hour | 0 | USD/vCPU-hour |
| Azure App Configuration | Target price guess · GiB-hour | 0 | USD/GiB-hour |
| Azure App Configuration | Target price guess · resource-hour | 0 | USD/resource-hour |
| Azure App Configuration | Target list price · resource-month | 36.5 | USD/resource-month |
| Azure App Configuration | Target price guess · input token | 0 | USD/input token |
| Azure App Configuration | Target price guess · output token | 0 | USD/output token |
| Azure App Configuration | Included before billing · provider operation | 6083340 | provider operation |
| Azure App Configuration | Target monthly base charge | 0 | USD/month |
| Azure App Configuration | Approximate target service minimum | 0 | USD/month |
| Azure App Configuration | Minimum primary CPU | 2 | vCPU |
| Azure App Configuration | Minimum primary RAM | 8 | GiB |
| Azure App Configuration | Minimum primary disk | 100 | GiB |
| Azure App Configuration | Additional full-price standby copy | 0 | 0 or 1 |
| Azure App Configuration | Allocated share of provisioned cost | 1 | fraction |
| Azure App Configuration | Read/write work per vCPU-second | 1500 | operations/vCPU-second |
| Azure App Configuration | Planning peak / mean work | 2 | multiplier |
| Azure App Configuration | Planning primary CPU utilization | 0.7 | fraction |
| Azure App Configuration | Resident state reserved in RAM | 0.1 | fraction |
| Azure App Configuration | Planning disk utilization | 0.8 | fraction |
| Azure App Configuration | Maintenance and log disk reserve | 20 | GiB |
| Azure App Configuration | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Azure App Configuration | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Azure App Configuration | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Azure App Configuration | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Azure App Configuration | Dependent object sink write price guess | 0.000005 | USD/write |

* Monthly operation quantity varies with this steady average rate; stored inventory and other meters retain their defaults. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
* Planning estimate · editable authored rates and sizing assumptions dated 2026-10-22; not verified provider prices. us-east-1 → eastus, USD/month.
* Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
* Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
* Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve's workload note.
* Rates are cited provider list prices, editable for discounts, commitments or another region. Workload translation and capacity coefficients remain editable planning assumptions, not benchmark measurements or a commercial quote.
* Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
* Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
* Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
* A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
* This is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
* Native/deployment comparison scope: Configuration is seeded during deployment and read through the target's native SDK. There is no AppConfig request-serving adapter on this path.
* Origin unit prices are cited provider list prices. Retention, amplification, and capacity coefficients are authored planning guesses; they are editable, not measured capacity.
* AppConfig configuration is installed at deployment. Applications read Flagsmith or Azure App Configuration using the target SDK; there is no runtime adapter read path.
* Target read work scales with polls, but deployment writes scale with authored configuration changes, not the number of delivered client updates.
* Managed rollout, validators and alarm rollback do not follow from a lower storage or read price.
* Each Standard configuration store bills USD 1.20/day (36.50 for a 730-hour month) and includes 200,000 requests a day; only overage requests bill. The included 200,000 x 30.4167 days = 6,083,340 requests are one store's monthly allowance; raise it when storeCount is above one. Each store includes 1 GB of storage. Free (USD 0) and Developer (0.12/day) stores are not selected.
* AWS Price List API, AWSSystemsManager offer: [https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSSystemsManager/current/us-east-1/index.json](https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSSystemsManager/current/us-east-1/index.json)
* Azure Retail Prices API: [https://prices.azure.com/api/retail/prices](https://prices.azure.com/api/retail/prices)
* Azure App Configuration pricing: [https://azure.microsoft.com/en-us/pricing/details/app-configuration/](https://azure.microsoft.com/en-us/pricing/details/app-configuration/)

Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.

Excluded costs and workload features:

* Free allowances, committed discounts, credits, taxes and negotiated rates.
* Commercial Tensor9 fees and operations labor unless entered separately.
* Client polling egress, rollout tooling, premium Flagsmith licensing and release-pipeline execution.
* 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.

List prices read: 2026-10-22. Model: `plan-9119bf81dba22c886cf0a79d83cf91147ac02bb1` / `2026-10-22.planning.2`. Curve: `workload-1`.

Sources: [AWS Price List API, AWSSystemsManager offer](https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSSystemsManager/current/us-east-1/index.json), [Azure Retail Prices API](https://prices.azure.com/api/retail/prices), [Azure App Configuration pricing](https://azure.microsoft.com/en-us/pricing/details/app-configuration/).

## AWS AppConfig → Flagsmith

Origin API: `aws::1.0.0::appconfig`. Target backend: `flagsmith::1.0.0::server`.

**Native or deployment mapping.** Configuration is seeded during deployment and read through the target's native SDK. There is no AppConfig request-serving adapter on this path. Cost estimates describe the selected service resources; operation coverage remains separate.

### AWS AppConfig · Configuration polls

Estimated monthly service charges by Configuration polls. Adapter hosting and Tensor9 fees are excluded. Source: us-east-1; target: us-central1; currency: USD.

![AWS AppConfig · Configuration polls: monthly service charges by Configuration polls. Exact values are in the following table.](/images/diagrams/service-cost/cb815e8b3c27cd8e2b5a6e66db55b9364660691290d5299fa8e6ea1f1d5a930b-light.svg)

![AWS AppConfig · Configuration polls: monthly service charges by Configuration polls. Exact values are in the following table.](/images/diagrams/service-cost/7ca0aafa4aba664b643d83b367d48fc7f18de7f0f2db3107a58d82605ceef520-dark.svg)

Comparison pills describe all sampled scale points; card amounts show the named workload. Costs The Same means within 20% at every point. Costs Depend includes mixed results and unpriced samples.

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. Lines connect evaluated samples; intermediate capacity and prices are not inferred. Unpriced means no target quote or cost difference is available within the sizing policy.

| Configuration polls (operations/s) | AppConfig | Target scenario | Flagsmith | Difference |
| -: | -: | - | -: | -: |
| 0 | 8 | Flagsmith (one copy) | 80.89614 | 72.89614 |
| 0 | 8 | Flagsmith (two copies) | 161.79228 | 153.79228 |
| 1 | 8.5256 | Flagsmith (one copy) | 80.89614 | 72.37054 |
| 1 | 8.5256 | Flagsmith (two copies) | 161.79228 | 153.26668 |
| 10 | 13.256 | Flagsmith (one copy) | 80.89614 | 67.64014 |
| 10 | 13.256 | Flagsmith (two copies) | 161.79228 | 148.53628 |
| 100 | 60.56 | Flagsmith (one copy) | 80.89614 | 20.33614 |
| 100 | 60.56 | Flagsmith (two copies) | 161.79228 | 101.23228 |
| 1000 | 533.6 | Flagsmith (one copy) | 80.89614 | -452.70386 |
| 1000 | 533.6 | Flagsmith (two copies) | 161.79228 | -371.80772 |
| 10000 | 5264 | Flagsmith (one copy) | 1144.33824 | -4119.66176 |
| 10000 | 5264 | Flagsmith (two copies) | 2288.67648 | -2975.32352 |

**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 operations/s / Flagsmith (one copy) | PlanningAssumption | 0.00003805175038051750380517503805175038 / 0.00007610350076103500761035007610350076 | 0.00000007247952453431905486700007247952453 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 0 operations/s / Flagsmith (two copies) | PlanningAssumption | 0.00003805175038051750380517503805175038 / 0.00007610350076103500761035007610350076 | 0.00000007247952453431905486700007247952453 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 1 operations/s / Flagsmith (one copy) | PlanningAssumption | 1.000038051750380517503805175038052 / 2.000076103500761035007610350076104 | 0.001904834384286439080959628904834385 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 1 operations/s / Flagsmith (two copies) | PlanningAssumption | 1.000038051750380517503805175038052 / 2.000076103500761035007610350076104 | 0.001904834384286439080959628904834385 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 10 operations/s / Flagsmith (one copy) | PlanningAssumption | 10.00003805175038051750380517503805 / 20.0000761035007610350076103500761 | 0.01904769152714358193810248604769152 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 10 operations/s / Flagsmith (two copies) | PlanningAssumption | 10.00003805175038051750380517503805 / 20.0000761035007610350076103500761 | 0.01904769152714358193810248604769152 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 100 operations/s / Flagsmith (one copy) | PlanningAssumption | 100.0000380517503805175038051750381 / 200.0000761035007610350076103500762 | 0.190476262955715010509531057476263 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 100 operations/s / Flagsmith (two copies) | PlanningAssumption | 100.0000380517503805175038051750381 / 200.0000761035007610350076103500762 | 0.190476262955715010509531057476263 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 1000 operations/s / Flagsmith (one copy) | PlanningAssumption | 1000.000038051750380517503805175038 / 2000.000076103500761035007610350076 | 1.904761977241429296223816771761977 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 1000 operations/s / Flagsmith (two copies) | PlanningAssumption | 1000.000038051750380517503805175038 / 2000.000076103500761035007610350076 | 1.904761977241429296223816771761977 | 2 | 8 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 10000 operations/s / Flagsmith (one copy) | PlanningAssumption | 10000.00003805175038051750380517504 / 20000.00007610350076103500761035008 | 19.04761912009857215336667391461912 | 32 | 128 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |
| 10000 operations/s / Flagsmith (two copies) | PlanningAssumption | 10000.00003805175038051750380517504 / 20000.00007610350076103500761035008 | 19.04761912009857215336667391461912 | 32 | 128 | 100 | 1 | `service-adapter-planning-2026-10-22.1` | None reported |

* Row-store throughput (capacityOpsPerVcpuSecond, default 1500) is measured-by-tensor9 as a lower bound: the DynamoDB adapter on Cloud SQL db-custom-2-7680 (2 vCPU, PostgreSQL 16, us-west1) served 2,974 ops/s of YCSB-A at 16 threads without recorded saturation (src/main/kotlin/t9/prime/equiv/generated/eval/CloudsqlPostgresqlYcsbAT16GoYcsbV1\_0\_0.kt). Published CPU-bound pgbench reaches 3,101 read-write transactions and 20,289 point reads per vCPU-second (AWS z1d.2xlarge, PostgreSQL 14.5), so actual capacity is likely higher. Reads and writes share one coefficient: at the same adapter version, read-only YCSB-C was not faster than 50%-update YCSB-A.
* Log-broker throughput (capacityStreamMiBPerVcpuSecond 20 at 0.5 utilization, 4 GiB RAM per vCPU) is provider-documented by Google Managed Service for Apache Kafka sizing ([https://docs.cloud.google.com/managed-service-for-apache-kafka/docs/plan-cluster-size](https://docs.cloud.google.com/managed-service-for-apache-kafka/docs/plan-cluster-size)): write-equivalent bytes are replicated writes plus a quarter of reads. Producer batches below 10 KB lower per-CPU throughput; that penalty is not modeled.
* Disk utilization 0.8 is provider-documented headroom below Cloud SQL automatic storage increase, which triggers near 91-95% full ([https://docs.cloud.google.com/sql/docs/postgres/instance-settings](https://docs.cloud.google.com/sql/docs/postgres/instance-settings)). The 20 GiB reserve exceeds PostgreSQL's 1 GB default max\_wal\_size; the remainder of that reserve is unmeasured.
* CPU tiers, 4 GiB per vCPU, at most 6.5 GiB per vCPU, 96 vCPU and 65,536 GiB disk follow Cloud SQL Enterprise custom machine limits (provider-documented, same page); 624 GiB is 96 × 6.5. Targets billed per node, unit or throughput unit are sized by their backend instead.
* No public evidence: peak/mean work (2) and the RAM working-set fraction (0.1). Proposed measurements: the p99 one-minute rate over the monthly mean from customer CloudWatch metrics; the buffer hit ratio while stepping RAM under a fixed YCSB-B load.
* Stored GiB already includes the origin family's physical footprint assumptions; no second storage amplification is applied.
* The operations/vCPU coefficient supplies the compute requirement alongside explicit resource-hour minima.
* Copies and allocation fractions change cost only; they do not increase modeled primary capacity.

**Curve assumptions**

| Target scenario | Assumption | Value | Unit |
| - | - | -: | - |
| Flagsmith (one copy) | Origin list price · Configuration polls | 0.0000002 | USD/requests |
| Flagsmith (one copy) | Origin list price · Updated configurations delivered | 0.0008 | USD/deliveries |
| Flagsmith (one copy) | Target reads per source poll | 1 | reads/poll |
| Flagsmith (one copy) | Configuration changes seeded | 100 | writes/month |
| Flagsmith (one copy) | Retained configuration state | 1 | GiB |
| Flagsmith (one copy) | Target configuration stores | 1 | stores |
| Flagsmith (one copy) | Target price guess · read | 0 | USD/read |
| Flagsmith (one copy) | Target price guess · write | 0 | USD/write |
| Flagsmith (one copy) | Target price guess · provider operation | 0 | USD/provider operation |
| Flagsmith (one copy) | Target list price · GiB-month | 0.1 | USD/GiB-month |
| Flagsmith (one copy) | Target price guess · published GiB | 0 | USD/published GiB |
| Flagsmith (one copy) | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Flagsmith (one copy) | Target list price · network GiB | 0.12 | USD/network GiB |
| Flagsmith (one copy) | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Flagsmith (one copy) | Target list price · vCPU-hour | 0.031611 | USD/vCPU-hour |
| Flagsmith (one copy) | Target list price · GiB-hour | 0.004237 | USD/GiB-hour |
| Flagsmith (one copy) | Target price guess · resource-hour | 0 | USD/resource-hour |
| Flagsmith (one copy) | Target price guess · resource-month | 0 | USD/resource-month |
| Flagsmith (one copy) | Target price guess · input token | 0 | USD/input token |
| Flagsmith (one copy) | Target price guess · output token | 0 | USD/output token |
| Flagsmith (one copy) | Target monthly base charge | 0 | USD/month |
| Flagsmith (one copy) | Approximate target service minimum | 0 | USD/month |
| Flagsmith (one copy) | Minimum primary CPU | 2 | vCPU |
| Flagsmith (one copy) | Minimum primary RAM | 8 | GiB |
| Flagsmith (one copy) | Minimum primary disk | 100 | GiB |
| Flagsmith (one copy) | Additional full-price standby copy | 0 | 0 or 1 |
| Flagsmith (one copy) | Allocated share of provisioned cost | 1 | fraction |
| Flagsmith (one copy) | Read/write work per vCPU-second | 1500 | operations/vCPU-second |
| Flagsmith (one copy) | Planning peak / mean work | 2 | multiplier |
| Flagsmith (one copy) | Planning primary CPU utilization | 0.7 | fraction |
| Flagsmith (one copy) | Resident state reserved in RAM | 0.1 | fraction |
| Flagsmith (one copy) | Planning disk utilization | 0.8 | fraction |
| Flagsmith (one copy) | Maintenance and log disk reserve | 20 | GiB |
| Flagsmith (one copy) | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Flagsmith (one copy) | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Flagsmith (one copy) | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Flagsmith (one copy) | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Flagsmith (one copy) | Dependent object sink write price guess | 0.000005 | USD/write |
| Flagsmith (two copies) | Origin list price · Configuration polls | 0.0000002 | USD/requests |
| Flagsmith (two copies) | Origin list price · Updated configurations delivered | 0.0008 | USD/deliveries |
| Flagsmith (two copies) | Target reads per source poll | 1 | reads/poll |
| Flagsmith (two copies) | Configuration changes seeded | 100 | writes/month |
| Flagsmith (two copies) | Retained configuration state | 1 | GiB |
| Flagsmith (two copies) | Target configuration stores | 1 | stores |
| Flagsmith (two copies) | Target price guess · read | 0 | USD/read |
| Flagsmith (two copies) | Target price guess · write | 0 | USD/write |
| Flagsmith (two copies) | Target price guess · provider operation | 0 | USD/provider operation |
| Flagsmith (two copies) | Target list price · GiB-month | 0.1 | USD/GiB-month |
| Flagsmith (two copies) | Target price guess · published GiB | 0 | USD/published GiB |
| Flagsmith (two copies) | Target price guess · delivered GiB | 0 | USD/delivered GiB |
| Flagsmith (two copies) | Target list price · network GiB | 0.12 | USD/network GiB |
| Flagsmith (two copies) | Target price guess · replica GiB-month | 0 | USD/replica GiB-month |
| Flagsmith (two copies) | Target list price · vCPU-hour | 0.031611 | USD/vCPU-hour |
| Flagsmith (two copies) | Target list price · GiB-hour | 0.004237 | USD/GiB-hour |
| Flagsmith (two copies) | Target price guess · resource-hour | 0 | USD/resource-hour |
| Flagsmith (two copies) | Target price guess · resource-month | 0 | USD/resource-month |
| Flagsmith (two copies) | Target price guess · input token | 0 | USD/input token |
| Flagsmith (two copies) | Target price guess · output token | 0 | USD/output token |
| Flagsmith (two copies) | Target monthly base charge | 0 | USD/month |
| Flagsmith (two copies) | Approximate target service minimum | 0 | USD/month |
| Flagsmith (two copies) | Minimum primary CPU | 2 | vCPU |
| Flagsmith (two copies) | Minimum primary RAM | 8 | GiB |
| Flagsmith (two copies) | Minimum primary disk | 100 | GiB |
| Flagsmith (two copies) | Additional full-price standby copy | 1 | 0 or 1 |
| Flagsmith (two copies) | Allocated share of provisioned cost | 1 | fraction |
| Flagsmith (two copies) | Read/write work per vCPU-second | 1500 | operations/vCPU-second |
| Flagsmith (two copies) | Planning peak / mean work | 2 | multiplier |
| Flagsmith (two copies) | Planning primary CPU utilization | 0.7 | fraction |
| Flagsmith (two copies) | Resident state reserved in RAM | 0.1 | fraction |
| Flagsmith (two copies) | Planning disk utilization | 0.8 | fraction |
| Flagsmith (two copies) | Maintenance and log disk reserve | 20 | GiB |
| Flagsmith (two copies) | Staging database CPU unit-price guess | 0.0413 | USD/vCPU-hour |
| Flagsmith (two copies) | Staging database RAM unit-price guess | 0.007 | USD/GiB-hour |
| Flagsmith (two copies) | Staging database disk unit-price guess | 0.17 | USD/GiB-month |
| Flagsmith (two copies) | Dependent object sink storage price guess | 0.023 | USD/GiB-month |
| Flagsmith (two copies) | Dependent object sink write price guess | 0.000005 | USD/write |

* Monthly operation quantity varies with this steady average rate; stored inventory and other meters retain their defaults. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
* Planning estimate · editable authored rates and sizing assumptions dated 2026-10-22; not verified provider prices. us-east-1 → us-central1, USD/month.
* Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
* Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
* Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve's workload note.
* Rates are cited provider list prices, editable for discounts, commitments or another region. Workload translation and capacity coefficients remain editable planning assumptions, not benchmark measurements or a commercial quote.
* Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
* Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
* Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
* A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
* This is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
* Native/deployment comparison scope: Configuration is seeded during deployment and read through the target's native SDK. There is no AppConfig request-serving adapter on this path.
* Origin unit prices are cited provider list prices. Retention, amplification, and capacity coefficients are authored planning guesses; they are editable, not measured capacity.
* AppConfig configuration is installed at deployment. Applications read Flagsmith or Azure App Configuration using the target SDK; there is no runtime adapter read path.
* Target read work scales with polls, but deployment writes scale with authored configuration changes, not the number of delivered client updates.
* Managed rollout, validators and alarm rollback do not follow from a lower storage or read price.
* Self-hosted target: Flagsmith open-source core (BSD-3-Clause, [https://github.com/Flagsmith/flagsmith/blob/main/LICENSE](https://github.com/Flagsmith/flagsmith/blob/main/LICENSE)); Enterprise features are quote-priced and not selected. Selected CPU, RAM and physical disk allocation grow with workload; no per-operation price is assumed. No vendor tariff: the target runs on the customer's Kubernetes nodes, so CPU, RAM and disk bill at the Kubernetes node reference rates, Compute Engine N2 in us-central1 (USD 0.031611/vCPU-hour, 0.004237/GiB-hour) with pd-balanced disk (0.10/GiB-month) and Premium Tier egress. The cost-optimized E2 series lists 0.02181159/vCPU-hour and 0.00292353/GiB-hour; AWS m6i/r6i and Azure D2s v5/E2s v5 both decompose to 0.033/vCPU-hour and 0.00375/GiB-hour. Requested CPU and RAM are billed; node bin-packing waste, system reservations and the cluster control-plane fee are not.
* Row-store throughput (capacityOpsPerVcpuSecond, default 1500) is measured-by-tensor9 as a lower bound: the DynamoDB adapter on Cloud SQL db-custom-2-7680 (2 vCPU, PostgreSQL 16, us-west1) served 2,974 ops/s of YCSB-A at 16 threads without recorded saturation (src/main/kotlin/t9/prime/equiv/generated/eval/CloudsqlPostgresqlYcsbAT16GoYcsbV1\_0\_0.kt). Published CPU-bound pgbench reaches 3,101 read-write transactions and 20,289 point reads per vCPU-second (AWS z1d.2xlarge, PostgreSQL 14.5), so actual capacity is likely higher. Reads and writes share one coefficient: at the same adapter version, read-only YCSB-C was not faster than 50%-update YCSB-A.
* Log-broker throughput (capacityStreamMiBPerVcpuSecond 20 at 0.5 utilization, 4 GiB RAM per vCPU) is provider-documented by Google Managed Service for Apache Kafka sizing ([https://docs.cloud.google.com/managed-service-for-apache-kafka/docs/plan-cluster-size](https://docs.cloud.google.com/managed-service-for-apache-kafka/docs/plan-cluster-size)): write-equivalent bytes are replicated writes plus a quarter of reads. Producer batches below 10 KB lower per-CPU throughput; that penalty is not modeled.
* Disk utilization 0.8 is provider-documented headroom below Cloud SQL automatic storage increase, which triggers near 91-95% full ([https://docs.cloud.google.com/sql/docs/postgres/instance-settings](https://docs.cloud.google.com/sql/docs/postgres/instance-settings)). The 20 GiB reserve exceeds PostgreSQL's 1 GB default max\_wal\_size; the remainder of that reserve is unmeasured.
* CPU tiers, 4 GiB per vCPU, at most 6.5 GiB per vCPU, 96 vCPU and 65,536 GiB disk follow Cloud SQL Enterprise custom machine limits (provider-documented, same page); 624 GiB is 96 × 6.5. Targets billed per node, unit or throughput unit are sized by their backend instead.
* No public evidence: peak/mean work (2) and the RAM working-set fraction (0.1). Proposed measurements: the p99 one-minute rate over the monthly mean from customer CloudWatch metrics; the buffer hit ratio while stepping RAM under a fixed YCSB-B load.
* Stored GiB already includes the origin family's physical footprint assumptions; no second storage amplification is applied.
* The operations/vCPU coefficient supplies the compute requirement alongside explicit resource-hour minima.
* Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
* AWS Price List API, AWSSystemsManager offer: [https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSSystemsManager/current/us-east-1/index.json](https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSSystemsManager/current/us-east-1/index.json)
* Compute Engine general-purpose machine pricing: [https://cloud.google.com/products/compute/pricing/general-purpose](https://cloud.google.com/products/compute/pricing/general-purpose)
* Disk and image pricing: [https://cloud.google.com/compute/disks-image-pricing](https://cloud.google.com/compute/disks-image-pricing)
* Network pricing: [https://cloud.google.com/vpc/network-pricing](https://cloud.google.com/vpc/network-pricing)

Cost scope: Modeled target native service and explicitly modeled state allocation; hosting and Tensor9 fees only when supplied.

Excluded costs and workload features:

* Free allowances, committed discounts, credits, taxes and negotiated rates.
* Commercial Tensor9 fees and operations labor unless entered separately.
* Client polling egress, rollout tooling, premium Flagsmith licensing and release-pipeline execution.
* 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.

List prices read: 2026-10-22. Model: `plan-1f63edbff579fc15e14a573e49ba158431ea6306` / `2026-10-22.planning.2`. Curve: `workload-1`.

Sources: [AWS Price List API, AWSSystemsManager offer](https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AWSSystemsManager/current/us-east-1/index.json), [Compute Engine general-purpose machine pricing](https://cloud.google.com/products/compute/pricing/general-purpose), [Disk and image pricing](https://cloud.google.com/compute/disks-image-pricing), [Network pricing](https://cloud.google.com/vpc/network-pricing).

See the [service catalog](/byoc/service-adapters/catalog.md) for operation coverage, supported directions and backend limitations.


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