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Tensor9 Cloud Adapter planning comparisons for aws::1.0.0::appconfig, with backend choices shown together. Read how Tensor9 estimates service-adapter costs for price scope and capacity qualification, or return to additional services.

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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.

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AWS AppConfig · Configuration polls

Feature: AWS AppConfig. 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.AWS AppConfig · Configuration polls: monthly service charges by Configuration polls. Exact values are in the following table.
Comparison pills describe all sampled scale points; amounts beside each service are for the named workload. Costs The Same means within 20% at every point. Costs Depend includes mixed results and unpriced samples. Sampled monthly charges in USD, rounded to cents. Difference means target minus origin; a positive difference means the target costs more. Curve assumptions
  • Monthly operation quantity varies with this steady average rate; stored inventory and other meters retain their defaults. Other native meters and workload assumptions retain their explicitly displayed default quantities. Workload translation and capacity assumptions are not benchmark measurements.
  • Native monthly usage priced at the cited provider list prices; listed target allowances apply where present, excluding invoice credits, taxes and negotiated discounts. Rates as of 2026-10-22: 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.
  • Samples of explicit prices 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
  • 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/
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 not explicitly listed by this model.
  • 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, Azure Retail Prices API, Azure App Configuration pricing. See the service catalog for operation coverage, supported directions and backend limitations.