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【Azure云架构】选择Azure计算服务的标准

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Criteria for choosing an Azure compute service

术语compute指的是应用程序所运行的计算资源的托管模型。下表比较了几个轴上的Azure计算服务。在为应用程序选择计算选项时，请参考这些表。

托管模式

Criteria Virtual Machines App Service Service Fabric Azure Functions Azure Kubernetes Service Container Instances Azure Batch
Application composition Agnostic Applications, containers Services, guest executables, containers Functions Containers Containers Scheduled jobs
Density Agnostic Multiple apps per instance via app service plans Multiple services per VM Serverless 1 Multiple containers per node No dedicated instances Multiple apps per VM
Minimum number of nodes 1 2 1 5 3 Serverless 1 3 3 No dedicated nodes 1 4
State management Stateless or Stateful Stateless Stateless or stateful Stateless Stateless or Stateful Stateless Stateless
Web hosting Agnostic Built in Agnostic Not applicable Agnostic Agnostic No
Can be deployed to dedicated VNet? Supported Supported5 Supported Supported 5 Supported Not supported Supported
Hybrid connectivity Supported Supported 6 Supported Supported 7 Supported Not supported Supported

笔记

  1. 如使用消费计划。如果使用App服务计划，则在分配给您的App服务计划的vm上运行函数。参见为Azure功能选择正确的服务计划。
  2. 具有两个或多个实例的高级SLA。
  3. 推荐用于生产环境。
  4. 可以缩小到零后，工作完成。
  5. 需要App服务环境(ASE)。
  6. 使用Azure应用服务混合连接。
  7. 需要App服务计划。

DevOps

Criteria Virtual Machines App Service Service Fabric Azure Functions Azure Kubernetes Service Container Instances Azure Batch
Local debugging Agnostic IIS Express, others 1 Local node cluster Visual Studio or Azure Functions CLI Minikube, others Local container runtime Not supported
Programming model Agnostic Web and API applications, WebJobs for background tasks Guest executable, Service model, Actor model, Containers Functions with triggers Agnostic Agnostic Command line application
Application update No built-in support Deployment slots Rolling upgrade (per service) Deployment slots Rolling update Not applicable

笔记

  1. 选项包括IIS Express for ASP。NET或node.js (iisnode);PHP web服务器;Azure Toolkit for IntelliJ, Azure Toolkit for Eclipse。App Service也支持部署web App的远程调试。
  2. 请参阅资源管理器提供程序、区域、API版本和模式。

 

Scalability

Criteria Virtual Machines App Service Service Fabric Azure Functions Azure Kubernetes Service Container Instances Azure Batch
Autoscaling Virtual machine scale sets Built-in service Virtual machine scale sets Built-in service Pod auto-scaling1, cluster auto-scaling2 Not supported N/A
Load balancer Azure Load Balancer Integrated Azure Load Balancer Integrated Azure Load Balancer or Application Gateway No built-in support Azure Load Balancer
Scale limit3 Platform image: 1000 nodes per scale set, Custom image: 100 nodes per scale set 20 instances, 100 with App Service Environment 100 nodes per scale set 200 instances per Function app 100 nodes per cluster (default limit) 20 container groups per subscription (default limit). 20 core limit (default limit).

笔记

  1. 看到自动pods.。
  2. 参见自动扩展集群以满足Azure Kubernetes服务(AKS)上的应用程序需求。
  3. 参见Azure订阅和服务限制、配额和约束。

Availability

Criteria Virtual Machines App Service Service Fabric Azure Functions Azure Kubernetes Service Container Instances Azure Batch
SLA SLA for Virtual Machines SLA for App Service SLA for Service Fabric SLA for Functions SLA for AKS SLA for Container Instances SLA for Azure Batch
Multi region failover Traffic manager Traffic manager Traffic manager, Multi-Region Cluster Not supported Traffic manager Not supported Not Supported

关于服务保障的指导学习，请查看核心云服务——Azure架构和服务保障。

Other

Criteria Virtual Machines App Service Service Fabric Azure Functions Azure Kubernetes Service Container Instances Azure Batch
SSL Configured in VM Supported Supported Supported Ingress controller Use sidecar container Supported
Cost Windows, Linux App Service pricing Service Fabric pricing Azure Functions pricing AKS pricing Container Instances pricing Azure Batch pricing
Suitable architecture styles N-Tier, Big compute (HPC) Web-Queue-Worker, N-Tier Microservices, Event-driven architecture Microservices, Event-driven architecture Microservices, Event-driven architecture Microservices, task automation, batch jobs Big compute (HPC)

原文：https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/compute-comparison

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发布日期
星期二, 十一月 26, 2019 - 14:26
最后修改
星期四, 一月 5, 2023 - 21:55
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