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Change back to enough CPU/memory
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README.md

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@@ -84,7 +84,7 @@ The repo includes sample data so it's ready to try end to end. In this sample ap
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Pricing varies per region and usage, so it isn't possible to predict exact costs for your usage.
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However, you can try the [Azure pricing calculator](https://azure.com/e/e3490de2372a4f9b909b0d032560e41b) for the resources below.
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- Azure Container Apps: Default host for app deployment as of 10/28/2024. See more details in [the ACA deployment guide](docs/azure_container_apps.md). Consumption plan with 0.5 CPU core, 1.0 GB RAM, minimum of 0 replicas. Pricing with Pay-as-You-Go. [Pricing](https://azure.microsoft.com/pricing/details/container-apps/)
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- Azure Container Apps: Default host for app deployment as of 10/28/2024. See more details in [the ACA deployment guide](docs/azure_container_apps.md). Consumption plan with 1 CPU core, 2 GB RAM, minimum of 0 replicas. Pricing with Pay-as-You-Go. [Pricing](https://azure.microsoft.com/pricing/details/container-apps/)
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- Azure Container Registry: Basic tier. [Pricing](https://azure.microsoft.com/pricing/details/container-registry/)
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- Azure App Service: Only provisioned if you deploy to Azure App Service following [the App Service deployment guide](docs/azure_app_service.md). Basic Tier with 1 CPU core, 1.75 GB RAM. Pricing per hour. [Pricing](https://azure.microsoft.com/pricing/details/app-service/linux/)
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- Azure OpenAI: Standard tier, GPT and Ada models. Pricing per 1K tokens used, and at least 1K tokens are used per question. [Pricing](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/)

docs/productionizing.md

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### Azure Container Apps
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The default container app uses a "Consumption" workload profile with 0.5 CPU cores and 1.0 GB RAM,
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The default container app uses a "Consumption" workload profile with 1 CPU core and 2 GB RAM,
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and scaling rules that allow for scaling all the way down to 0 replicas when idle.
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For production, consider either increasing the CPU cores and memory or
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[switching to a "Dedicated" workload profile](azure_container_apps.md#customizing-workload-profile),

infra/main.bicep

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identityType: 'UserAssigned'
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tags: union(tags, { 'azd-service-name': 'backend' })
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targetPort: 8000
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containerCpuCoreCount: '0.5'
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containerMemory: '1Gi'
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containerCpuCoreCount: '1.0'
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containerMemory: '2Gi'
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containerMinReplicas: 0
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allowedOrigins: allowedOrigins
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env: union(appEnvVariables, {

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