Nevin Dong 董乃文 Principle Technical Evangelist Microsoft Cooperation

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1 Nevin Dong 董乃文 Principle Technical Evangelist Microsoft Cooperation

2 Microservices Autonomous API Gateway Events Service Discovery Circuit Breakers Commands Aggregates Bounded Context Event Bus Domain Events Nomad & addressable services Mediator Isolated Decoupled Async. communication Message Brokers Health Checks Transient Failures Handling Resiliency Retries with Exponential Backoff Domain-Driven Design CQRS simplified Domain Entity Docker Containers Linux Containers Docker Host Windows Containers RabbitMQ Hyper-V Containers Azure Service Bus NServiceBus MassTransit Brighter Polly Orchestrators Docker Image Docker Registry Docker Hub Azure Container Registry Azure Service Fabric Azure Container Service Kubernetes Docker Swarm Mesos DC/OS Stateful Services Actors

3

4 Photo Share Photo Share Service Photo Share Service Photo Share Service Service Thumbnail Thumbnail Service Thumbnail Service Service Photo Share Service node.js Thumbnail Service.NET Photo Share Service V1 Thumbnail Service V1 V2

5 Traditional application approach Microservices application approach A traditional application has most of its functionality within a few processes that are componentized with layers and libraries. Scales by cloning the app on multiple servers/vms App 1 A microservice application segregates functionality into separate smaller services. Scales out by deploying each service independently with multiple instances across servers/vms App 1 App 2

6 Data in Traditional approach Single monolithic database Tiers of specific technologies Web Tier Data in Microservices approach Graph of interconnected microservices State typically scoped to the microservice Remote Storage for cold data Services Tier Cache Tier Cache doesn t help much for massive data ingress (Events, IoT, etc.) Database servers are usually the bottleneck Mobile apps Web presentation services Data Tier SQL DB or No-SQL SQL [ ] Stateless services Stateful services Monolithic Databases are shared across services. Stateless services with separate stores Each microservice owns its model/data!

7 Microservices platform

8 Azure Service Fabric Any OS, Any Cloud containers and microservices Dev Machine Azure On Premise Infrastructure Other Clouds

9 60bn events/day Microsoft runs its business on Service Fabric Designed for mission critical tier 1 workloads 30% of Azure cores run Service Fabric

10 Microservices Platform Managed Service Productive Development Highly scalable 24 X 7 High availability and failover Built-in auto scale Automated platform upgrades Simple Programming Models for. NET, Java Stateless and Stateful microservices Windows and Linux container orchestration DevOps and Lifecycle management Built-in health and diagnostics Integrated with AppInsights and OMS Local development identical to cloud development Tooling with Visual Studio, VSTS Eclipse & Jenkins

11 Service Fabric on premises Azure Active Directory Azure services Azure data services Azure services Common Identity Unified Development and DevOps Consistent Data Platform Unified Development and DevOps Active Directory On-premises infrastructure SQL Server Azure Stack

12 Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux Linux

13 Orchestrator s Cluster managing microservices/containers Clusters provide: High scalability Automatic High Availability and resiliency High services density per host App 1 App 2 My ASP.NET Core Services My Docker Images Official Docker Images Cluster of Nodes/Hosts VM or

14 CI/CD, diagnostics and monitoring CI/CD Visual Studio/VSTS Diagnostics & Monitoring AppInsights OMS ELK Splunk Dev Machine Azure On Premise Infrastructure Other Clouds

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16 Key Patterns for Microservices 1. Direct communication vs. API Gateway 2.Health checks 3.Resilient cloud applications: o Retries with exponential backoff plus Circuit breaker 4.Async. pub/subs communication (Event Bus) 5.Scale-out with Orchestrators

17 Domain-Driven Design (DDD) Patterns Use in your Core-Domain microservices, task oriented with lots of business rules & transactions Bounded Context == Business Microservice boundary Simplified CQRS when using DDD in a microservice 2. Rich Domain Model vs. Anemic Domain Model 3. Domain Entity 4. Aggregates 5. Value Object 6. Domain Events (within a single microservice)

18 The Bounded Context pattern Cells Independent Autonomous Loosely coupled composition Cells can exist because their membranes define what is in and out and determine what can pass [Eric Evans]

19 Bounded Context pattern in Domain-Driven Design A domain model applies within a Bounded Context Bounded Context 1 Domain model 1 In a typical enterprise system, there are multiple Bounded Contexts Thus, multiple domain models Not one big domain model across the entire system! Bounded Context 2 Domain model 2 Bounded Context == Business Microservice boundary

20 Business/Logical Microservices (Bounded Contexts) Example 1 Example 2 Example 3 Catalog business microservice SQL Server database Ordering business microservice Business/logical microservice Ordering.API Gateway service Web API GracePeriod Worker Svc. SQL Server database Partition A Stateful service partitions Partition n (Using Azure Service Fabric Stateful Reliable Services) - The Logical Architecture can be different to the Physical/Deployment Architecture - A Bounded Context can be implemented by 1 or more services (i.e. ASP.NET Web API)

21 Identifying a Domain Model per Microservice/BoundedContext Conferences Management Orders and Registration Conferences Buyers Organizers Conferences Seats Seats Attendees Companies Country Orders Reservation Users Attendees Seats Assignments Pricing and Marketing Payment Customer Service Conferences Promotions Seats Payers Payments External Gateways Customers Returns

22 Building resilient cloud applications Client Mobile App JSON Back end Microservice 1 Web API Container Client SPA WebApp JSON JavaScript / Angular.js Traditional WebApp Browser HTML HTML HTTP Request/Response Client WebApp MVC ASP.NET Core MVC Container API Gateway Container ASP.NET Core Web API HTTP Request/Response Microservice 2 Web API Container Microservice 3 Web API Container

23 Simplified CQRS and DDD Microservice High-Level Design Docker host Ordering microservice Catalog Ordering API API SQL Server container External IP and port External IP and Port Internal IP and port Port Container Web API Application layer Queries & ViewModels Commands & Domain model Reads Updates Ordering database SQL Server

24 eshoponcontainers Microservices and Docker Containers End-to-end solution

25 eshoponcontainers Reference Application - Architecture Client apps eshop mobile app Xamarin.Forms C# xplat. OS: ios Android Windows eshop traditional Web app HTML eshop SPA Web app Docker Host eshop WebApp MVC ASP.NET Core MVC Identity microservice (STS+users) Catalog microservice Ordering microservice Ordering.API GracePeriod worker Svc. Basket microservice SQL Server db SQL Server db SQL Server db Redis cache Marketing microservice MongoDB / CosmosDB SQL Server DB TypeScript/Angular 4 Location microservice MongoDB / CosmosDB

26 Client apps eshop mobile app Xamarin.Forms C# xplat. OS: ios Android Windows eshop traditional Web app Docker Host eshop WebApp MVC Identity microservice (STS+users) Web API container Catalog microservice Web API container SQL Server database SQL Server database HTML eshop SPA Web app ASP.NET Core MVC Container Ordering microservice Web API container SQL Server database TypeScript/Angular 2 Basket microservice Web API container Redis cache

27 Dev environment Production environment Forks/Flavors eshoponservicefabric, eshoponkubernetes eshoponswarm, eshopondcos, etc. Foundational Development technologies Cloud infrastructure and Specific Orchestrators Development.NET Core.NET Framework Azure Container Service Mesos DC/OS Kubernetes Docker Swarm Orchestrators + Azure Service Fabric Service Bus SQL Database Deployment Linux Containers Windows Containers BLOB Storage Cosmos DB Other Cloud Infrastructure Redis Cache Key Vault Exploring Microservices Architecture/Design/Development Infrastructure Decisions Production-Ready Microservices

28 Nevin Dong 董乃文 Principle Technical Evangelist Microsoft Cooperation

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