aws::1.0.0::events, with backend choices shown together. Read how to think about service-adapter costs for price scope and capacity qualification, or return to additional services.
EventBridge → Azure Event Grid
Origin API:aws::1.0.0::events. Target backend: azure::1.0.0::eventgrid.
Planning estimate with editable assumptions. Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
Native or deployment mapping. This mapping uses native Event Grid delivery rather than an EventBridge API endpoint. Event delivery follows the target service’s behavior; there is no EventBridge adapter request to measure. Cost estimates describe the selected service resources; operation coverage remains separate.
EventBridge · Custom event units
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.
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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Rules evaluated, matched targets and retries remain explicit. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
- Planning estimate · editable authored rates and sizing assumptions dated 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, USD/month.
- Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
- Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
- Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
- Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote.
- Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
- Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
- Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
- A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
- This is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- Native/deployment comparison scope: This mapping uses native Event Grid delivery rather than an EventBridge API endpoint. Event delivery follows the target service’s behavior; there is no EventBridge adapter request to measure.
- Authored planning assumptions, not measured adapter capacity. Editable origin rates are illustrative tariff profiles, before free allowances and discounts.
- A cost scenario does not establish backend availability, protocol fidelity or production readiness. Registry serving status remains independent.
- The durable events table, in-process matcher and delivery outbox run even when a native broker is selected in a proposed architecture.
- Native Pub/Sub/Event Grid rows are designs; cost coverage does not make those runtime paths served.
- All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
- Event Grid operations are an authored publish/delivery count approximation; payload billing increments and included operations require the selected 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Additional network transfer, backups, KMS, one-time migration and operational labor unless an explicit meter includes them.
- Destination application execution and separately billed downstream services; supply those allocations separately.
- Scheduler, Pipes, archive/replay and API destination tariffs; destination execution charges.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-656ce2b6cd8a54740cc930f862ce2db533e713fa / 2026-10-18.planning.1. Curve: workload-1.
EventBridge → Cloud SQL for PostgreSQL
Origin API:aws::1.0.0::events. Target backend: google::1.0.0::cloudsql::postgresql.
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.
EventBridge · Custom event units
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.
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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Rules evaluated, matched targets and retries remain explicit. 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.
- Authored planning assumptions, not measured adapter capacity. Editable origin rates are illustrative tariff profiles, before free allowances and discounts.
- A cost scenario does not establish backend availability, protocol fidelity or production readiness. Registry serving status remains independent.
- The durable events table, in-process matcher and delivery outbox run even when a native broker is selected in a proposed architecture.
- Native Pub/Sub/Event Grid rows are designs; cost coverage does not make those runtime paths served.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Additional network transfer, backups, KMS, one-time migration and operational labor unless an explicit meter includes them.
- Destination application execution and separately billed downstream services; supply those allocations separately.
- Scheduler, Pipes, archive/replay and API destination tariffs; destination execution charges.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-c010cda26af1a7ba1dd7b53dd4a4725b1efe0c50 / 2026-10-18.planning.1. Curve: workload-1.
EventBridge → Container Apps
Origin API:aws::1.0.0::events. 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.
Native or deployment mapping. Scheduled jobs run as Container Apps jobs. This mapping does not expose an event bus or a PutEvents adapter endpoint; job execution is not fabric request latency. Cost estimates describe the selected service resources; operation coverage remains separate.
EventBridge · Custom event units
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.
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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Rules evaluated, matched targets and retries remain explicit. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
- Planning estimate · editable authored rates and sizing assumptions dated 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, USD/month.
- Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
- Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
- Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
- Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote.
- Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
- Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
- Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
- A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
- This is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- Native/deployment comparison scope: Scheduled jobs run as Container Apps jobs. This mapping does not expose an event bus or a PutEvents adapter endpoint; job execution is not fabric request latency.
- Authored planning assumptions, not measured adapter capacity. Editable origin rates are illustrative tariff profiles, before free allowances and discounts.
- A cost scenario does not establish backend availability, protocol fidelity or production readiness. Registry serving status remains independent.
- The durable events table, in-process matcher and delivery outbox run even when a native broker is selected in a proposed architecture.
- Native Pub/Sub/Event Grid rows are designs; cost coverage does not make those runtime paths served.
- 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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Additional network transfer, backups, KMS, one-time migration and operational labor unless an explicit meter includes them.
- Destination application execution and separately billed downstream services; supply those allocations separately.
- Scheduler, Pipes, archive/replay and API destination tariffs; destination execution charges.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-31f645677d120d117c82ffa4430248237b09c947 / 2026-10-18.planning.1. Curve: workload-1.
EventBridge → PostgreSQL
Origin API:aws::1.0.0::events. Target backend: postgres::1.0.0::database.
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.
EventBridge · Custom event units
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.
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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Rules evaluated, matched targets and retries remain explicit. 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.
- Authored planning assumptions, not measured adapter capacity. Editable origin rates are illustrative tariff profiles, before free allowances and discounts.
- A cost scenario does not establish backend availability, protocol fidelity or production readiness. Registry serving status remains independent.
- The durable events table, in-process matcher and delivery outbox run even when a native broker is selected in a proposed architecture.
- Native Pub/Sub/Event Grid rows are designs; cost coverage does not make those runtime paths served.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Additional network transfer, backups, KMS, one-time migration and operational labor unless an explicit meter includes them.
- Destination application execution and separately billed downstream services; supply those allocations separately.
- Scheduler, Pipes, archive/replay and API destination tariffs; destination execution charges.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-1b3d195812060b0f8a3f49a7665e8f1d793b512b / 2026-10-18.planning.1. Curve: workload-1.
EventBridge → PostgreSQL Flexible Server
Origin API:aws::1.0.0::events. Target backend: azure::1.0.0::postgresql::flexible.
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.
EventBridge · Custom event units
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.
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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Rules evaluated, matched targets and retries remain explicit. 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.
- Authored planning assumptions, not measured adapter capacity. Editable origin rates are illustrative tariff profiles, before free allowances and discounts.
- A cost scenario does not establish backend availability, protocol fidelity or production readiness. Registry serving status remains independent.
- The durable events table, in-process matcher and delivery outbox run even when a native broker is selected in a proposed architecture.
- Native Pub/Sub/Event Grid rows are designs; cost coverage does not make those runtime paths served.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Additional network transfer, backups, KMS, one-time migration and operational labor unless an explicit meter includes them.
- Destination application execution and separately billed downstream services; supply those allocations separately.
- Scheduler, Pipes, archive/replay and API destination tariffs; destination execution charges.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-b861f9005b6aff9fc3cfc370aadd088e6a0c9776 / 2026-10-18.planning.1. Curve: workload-1.
EventBridge → Pub/Sub
Origin API:aws::1.0.0::events. Target backend: google::1.0.0::pubsub.
Planning estimate with editable assumptions. Unit rates, workload amplification and capacity assumptions are educated guesses awaiting verification. The displayed amounts are planning estimates, not verified provider list-price quotes or benchmark-qualified capacity. Region names identify the authored scenario assumptions.
Native or deployment mapping. This mapping uses native Pub/Sub delivery rather than an EventBridge API endpoint. Event delivery follows the target service’s behavior; there is no EventBridge adapter request to measure. Cost estimates describe the selected service resources; operation coverage remains separate.
EventBridge · Custom event units
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.
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.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Rules evaluated, matched targets and retries remain explicit. Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote. Other native meters retain their explicitly displayed default quantities.
- Planning estimate · editable authored rates and sizing assumptions dated 2026-10-18; not verified provider prices. Explicit source planning region → Explicit target planning region, USD/month.
- Source prices are reference charges, not an invoice. Target lines cover selected service usage/configuration only; adapter hosting and Tensor9 fees are excluded.
- Explicit tariff samples are not performance measurements or capacity qualification. No interpolation or break-even guarantee is implied.
- Variant assumptions show the first axis sample; any axis-dependent configuration is described by this curve’s workload note.
- Editable authored planning guesses, not verified provider tariffs, benchmark measurements or a commercial quote.
- Default-zero rates are explicit assumptions, not evidence that the deployed service or resource is free.
- Provisioned-unit minimums use an editable approximate allocation floor. Modeled target service cost is max(usage/allocation, minimum), with billable network, durable staging and dependent sinks added separately; actual RU/TU sizing, scaling increments and throughput remain unqualified.
- Durable staging is priced once: provisioned targets include adapter state in their selected allocation; native targets add a separate staging allocation when required. Adapter hosting is a separate allocation and must exclude resources already priced as staging, workers or target capacity.
- A declared adapter mapping and cost model do not establish implementation availability or service equivalence.
- This is a declared directed mapping; a planning estimate does not establish deployment or request-serving support.
- Native/deployment comparison scope: This mapping uses native Pub/Sub delivery rather than an EventBridge API endpoint. Event delivery follows the target service’s behavior; there is no EventBridge adapter request to measure.
- Authored planning assumptions, not measured adapter capacity. Editable origin rates are illustrative tariff profiles, before free allowances and discounts.
- A cost scenario does not establish backend availability, protocol fidelity or production readiness. Registry serving status remains independent.
- The durable events table, in-process matcher and delivery outbox run even when a native broker is selected in a proposed architecture.
- Native Pub/Sub/Event Grid rows are designs; cost coverage does not make those runtime paths served.
- All target rates are editable authored planning guesses, not verified current list prices, customer discounts or benchmark evidence.
- Pub/Sub uses binary GiB of published and delivered physical work independently. Do not also apply a per-broker-operation price. Minimum billable request size, batching and delivery amplification must already be represented by the family workload assumptions.
- 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 generic operations/vCPU coefficient supplies a provisional compute requirement alongside explicit resource-hour minima.
- Copies and allocation fractions change cost only; they do not increase modeled primary capacity.
- Additional network transfer, backups, KMS, one-time migration and operational labor unless an explicit meter includes them.
- Destination application execution and separately billed downstream services; supply those allocations separately.
- Scheduler, Pipes, archive/replay and API destination tariffs; destination execution charges.
- Taxes, discounts, credits and free-tier allowances unless explicitly reflected in edited rates.
- Unmodeled dependent services, task execution and operations outside the selected workload family.
plan-c03446d19e35e982d41ca3014545e9ec0d6edd9c / 2026-10-18.planning.1. Curve: workload-1.
See the service catalog for operation coverage, supported directions and backend limitations.