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Document Outline

  • Introduction to Containers and Docker
    • What is Docker?
      • Comparing Docker containers with virtual machines
      • A simple analogy
    • Docker terminology
    • Docker containers, images, and registries
  • Choosing Between .NET and .NET Framework for Docker Containers
    • General guidance
    • When to choose .NET for Docker containers
      • Developing and deploying cross platform
      • Using containers for new (“green-field”) projects
      • Create and deploy microservices on containers
      • Deploying high density in scalable systems
    • When to choose .NET Framework for Docker containers
      • Migrating existing applications directly to a Windows Server container
      • Using third-party .NET libraries or NuGet packages not available for .NET 7
      • Using .NET technologies not available for .NET 7
      • Using a platform or API that doesn’t support .NET 7
      • Porting existing ASP.NET application to .NET 7
        • Additional resources
    • Decision table: .NET implementations to use for Docker
    • What OS to target with .NET containers
    • Official .NET Docker images
      • .NET and Docker image optimizations for development versus production
        • During development and build
        • In production
  • Architecting container and microservice-based applications
    • Container design principles
    • Containerizing monolithic applications
      • Deploying a monolithic application as a container
      • Publishing a single-container-based application to Azure App Service
    • Manage state and data in Docker applications
    • Service-oriented architecture
    • Microservices architecture
      • Additional resources
    • Data sovereignty per microservice
      • The relationship between microservices and the Bounded Context pattern
        • Additional resources
    • Logical architecture versus physical architecture
    • Challenges and solutions for distributed data management
      • Challenge #1: How to define the boundaries of each microservice
      • Challenge #2: How to create queries that retrieve data from several microservices
      • Challenge #3: How to achieve consistency across multiple microservices
      • Challenge #4: How to design communication across microservice boundaries
      • Additional resources
    • Identify domain-model boundaries for each microservice
    • The API gateway pattern versus the Direct client-to-microservice communication
      • Direct client-to-microservice communication
      • Why consider API Gateways instead of direct client-to-microservice communication
      • What is the API Gateway pattern?
      • Main features in the API Gateway pattern
      • Using products with API Gateway features
        • Azure API Management
        • Ocelot
      • Drawbacks of the API Gateway pattern
      • Additional resources
    • Communication in a microservice architecture
      • Communication types
      • Asynchronous microservice integration enforces microservice’s autonomy
      • Communication styles
        • Request/response communication with HTTP and REST
        • Additional resources
        • Push and real-time communication based on HTTP
    • Asynchronous message-based communication
      • Single-receiver message-based communication
      • Multiple-receivers message-based communication
      • Asynchronous event-driven communication
      • A note about messaging technologies for production systems
      • Resiliently publishing to the event bus
      • Additional resources
    • Creating, evolving, and versioning microservice APIs and contracts
      • Additional resources
    • Microservices addressability and the service registry
      • Additional resources
    • Creating composite UI based on microservices
      • Additional resources
    • Resiliency and high availability in microservices
      • Health management and diagnostics in microservices
        • Health checks
        • Using diagnostics and logs event streams
        • Orchestrators managing health and diagnostics information
      • Additional resources
    • Orchestrate microservices and multi-container applications for high scalability and availability
      • Software platforms for container clustering, orchestration, and scheduling
      • Using container-based orchestrators in Microsoft Azure
      • Using Azure Kubernetes Service
      • Development environment for Kubernetes
      • Getting started with Azure Kubernetes Service (AKS)
      • Deploy with Helm charts into Kubernetes clusters
      • Additional resources
  • Development process for Docker-based applications
    • Development environment for Docker apps
      • Development tool choices: IDE or editor
      • Additional resources
    • .NET languages and frameworks for Docker containers
    • Development workflow for Docker apps
      • Workflow for developing Docker container-based applications
      • Step 1. Start coding and create your initial application or service baseline
        • Set up your local environment with Visual Studio
        • Additional resources
      • Step 2. Create a Dockerfile related to an existing .NET base image
        • Using an existing official .NET Docker image
        • Additional resources
        • Using multi-arch image repositories
        • Multi-stage builds in Dockerfile
        • Creating your base image from scratch
        • Additional resources
      • Step 3. Create your custom Docker images and embed your application or service in them
        • Creating Docker images with Visual Studio
      • Step 4. Define your services in docker-compose.yml when building a multi-container Docker application
        • Working with docker-compose.yml in Visual Studio 2022
      • Step 5. Build and run your Docker application
        • Option A: Running a single-container application
          • Using Docker CLI
          • Using Visual Studio
        • Option B: Running a multi-container application
          • Using Docker CLI
          • Using Visual Studio
        • Additional resources
        • A note about testing and deploying with orchestrators
      • Step 6. Test your Docker application using your local Docker host
        • Testing and debugging containers with Visual Studio 2022
        • Testing and debugging without Visual Studio
        • Additional resources
      • Simplified workflow when developing containers with Visual Studio
      • Using PowerShell commands in a Dockerfile to set up Windows Containers
        • Additional resources
  • Designing and Developing Multi-Container and Microservice-Based .NET Applications
    • Design a microservice-oriented application
      • Application specifications
      • Development team context
      • Choosing an architecture
        • eShopOnContainers: A reference application for .NET and microservices deployed using containers
        • Data sovereignty per microservice
        • Additional resources
      • Benefits of a microservice-based solution
      • Downsides of a microservice-based solution
      • External versus internal architecture and design patterns
      • The new world: multiple architectural patterns and polyglot microservices
    • Creating a simple data-driven CRUD microservice
      • Designing a simple CRUD microservice
      • Implementing a simple CRUD microservice with ASP.NET Core
        • Implementing CRUD Web API services with Entity Framework Core
          • The data model
            • Querying data from Web API controllers
            • Saving data
            • Dependency Injection in ASP.NET Core and Web API controllers
        • Additional resources
      • The DB connection string and environment variables used by Docker containers
        • Implementing versioning in ASP.NET Web APIs
        • Additional resources
      • Generating Swagger description metadata from your ASP.NET Core Web API
        • Why use Swagger?
        • How to automate API Swagger metadata generation with the Swashbuckle NuGet package
        • Additional resources
    • Defining your multi-container application with docker-compose.yml
      • A simple Web Service API container
      • Using docker-compose files to target multiple environments
        • Development environments
        • Testing environments
        • Production deployments
      • Using multiple docker-compose files to handle several environments
        • Overriding the base docker-compose file
        • Targeting multiple environments
        • How to deploy with a specific override file
        • Using environment variables in docker-compose files
        • Additional resources
      • Building optimized ASP.NET Core Docker images
        • Additional resources
    • Use a database server running as a container
      • SQL Server running as a container with a microservice-related database
        • Additional resources
      • Seeding with test data on Web application startup
      • EF Core InMemory database versus SQL Server running as a container
      • Using a Redis cache service running in a container
    • Implementing event-based communication between microservices (integration events)
      • Using message brokers and services buses for production systems
      • Integration events
      • The event bus
        • Observer pattern
        • Publish/Subscribe (Pub/Sub) pattern
        • The middleman or event bus
        • Defining an event bus interface
      • Additional resources
    • Implementing an event bus with RabbitMQ for the development or test environment
      • Implementing a simple publish method with RabbitMQ
      • Implementing the subscription code with the RabbitMQ API
      • Additional resources
    • Subscribing to events
      • Publishing events through the event bus
        • Designing atomicity and resiliency when publishing to the event bus
        • Implementing atomicity when publishing integration events through the event bus
        • Receiving messages from subscriptions: event handlers in receiver microservices
      • Idempotency in update message events
        • Additional resources
      • Deduplicating integration event messages
        • Deduplicating message events at the EventHandler level
        • Deduplicating messages when using RabbitMQ
        • Additional resources
    • Testing ASP.NET Core services and web apps
      • Implementing unit tests for ASP.NET Core Web APIs
      • Implementing integration and functional tests for each microservice
        • Additional resources
      • Implementing service tests on a multi-container application
      • Testing in eShopOnContainers
        • Additional resources
    • Implement background tasks in microservices with IHostedService and the BackgroundService class
      • Registering hosted services in your WebHost or Host
      • The IHostedService interface
      • Implementing IHostedService with a custom hosted service class deriving from the BackgroundService base class
        • Summary class diagram
        • Deployment considerations and takeaways
      • Additional resources
    • Implement API Gateways with Ocelot
      • Architect and design your API Gateways
        • Sample microservices/containers to reroute through the API Gateways
      • Implementing your API Gateways with Ocelot
        • Using a single Docker container image to run multiple different API Gateway / BFF container types
        • The Gateway aggregation pattern in eShopOnContainers
        • Authentication and authorization in Ocelot API Gateways
      • Using Kubernetes Ingress plus Ocelot API Gateways
      • Additional cross-cutting features in an Ocelot API Gateway
  • Tackle Business Complexity in a Microservice with DDD and CQRS Patterns
    • Additional resources
      • DDD (Domain-Driven Design)
      • DDD books
      • DDD training
    • Apply simplified CQRS and DDD patterns in a microservice
      • Additional resources
    • Apply CQRS and CQS approaches in a DDD microservice in eShopOnContainers
      • CQRS and DDD patterns are not top-level architectures
        • Additional resources
    • Implement reads/queries in a CQRS microservice
      • Use ViewModels specifically made for client apps, independent from domain model constraints
      • Use Dapper as a micro ORM to perform queries
      • Dynamic versus static ViewModels
        • ViewModel as dynamic type
        • ViewModel as predefined DTO classes
          • Describe response types of Web APIs
      • Additional resources
    • Design a DDD-oriented microservice
      • Keep the microservice context boundaries relatively small
      • Layers in DDD microservices
        • The domain model layer
        • The application layer
        • The infrastructure layer
          • Additional resources
    • Design a microservice domain model
      • The Domain Entity pattern
        • Rich domain model versus anemic domain model
          • Additional resources
        • The Value Object pattern
          • Additional resources
        • The Aggregate pattern
        • The Aggregate Root or Root Entity pattern
          • Additional resources
    • Implement a microservice domain model with .NET
      • Domain model structure in a custom .NET Standard Library
      • Structure aggregates in a custom .NET Standard library
      • Implement domain entities as POCO classes
      • Encapsulate data in the Domain Entities
        • Map properties with only get accessors to the fields in the database table
        • Map fields without properties
        • Additional resources
    • Seedwork (reusable base classes and interfaces for your domain model)
      • The custom Entity base class
      • Repository contracts (interfaces) in the domain model layer
      • Additional resources
    • Implement value objects
      • Important characteristics of value objects
      • Value object implementation in C#
        • Value object comparison semantics
      • How to persist value objects in the database with EF Core 2.0 and later
        • Background and older approaches using EF Core 1.1
      • Persist value objects as owned entity types in EF Core 2.0 and later
        • Additional details on owned entity types
          • Owned entities capabilities
          • Owned entities limitations
          • Main differences with EF6’s complex types
      • Additional resources
    • Use enumeration classes instead of enum types
      • Implement an Enumeration base class
      • Additional resources
    • Design validations in the domain model layer
      • Implement validations in the domain model layer
        • Validate conditions and throw exceptions
        • Use validation attributes in the model based on data annotations
        • Validate entities by implementing the Specification pattern and the Notification pattern
        • Use deferred validation in the domain
        • Two-step validation
      • Additional resources
    • Client-side validation (validation in the presentation layers)
      • Additional resources
        • Validation in Xamarin mobile apps
        • Validation in ASP.NET Core apps
        • Validation in SPA Web apps (Angular 2, TypeScript, JavaScript, Blazor WebAssembly)
    • Domain events: Design and implementation
      • What is a domain event?
      • Domain events versus integration events
      • Domain events as a preferred way to trigger side effects across multiple aggregates within the same domain
      • Implement domain events
        • Raise domain events
          • The deferred approach to raise and dispatch events
        • Single transaction across aggregates versus eventual consistency across aggregates
        • The domain event dispatcher: mapping from events to event handlers
        • How to subscribe to domain events
        • How to handle domain events
          • Domain events can generate integration events to be published outside of the microservice boundaries
      • Conclusions on domain events
      • Additional resources
    • Design the infrastructure persistence layer
      • The Repository pattern
        • Define one repository per aggregate
        • Enforce one aggregate root per repository
        • The Repository pattern makes it easier to test your application logic
        • The difference between the Repository pattern and the legacy Data Access class (DAL class) pattern
        • Implementing Unit of Work
        • Repositories shouldn’t be mandatory
      • Additional resources
        • Repository pattern
        • Unit of Work pattern
    • Implement the infrastructure persistence layer with Entity Framework Core
      • Introduction to Entity Framework Core
        • Additional resources
      • Infrastructure in Entity Framework Core from a DDD perspective
      • Implement custom repositories with Entity Framework Core
        • Methods to implement in a repository (updates or transactions versus queries)
        • Using a custom repository versus using EF DbContext directly
      • EF DbContext and IUnitOfWork instance lifetime in your IoC container
      • The repository instance lifetime in your IoC container
        • Additional resources
      • Table mapping
        • Data Annotations versus Fluent API
        • Fluent API and the OnModelCreating method
        • The Hi/Lo algorithm in EF Core
        • Map fields instead of properties
        • Use shadow properties in EF Core, hidden at the infrastructure level
      • Implement the Query Specification pattern
        • Additional resources
    • Use NoSQL databases as a persistence infrastructure
      • Introduction to Azure Cosmos DB and the native Cosmos DB API
      • Implement .NET code targeting MongoDB and Azure Cosmos DB
        • Use Azure Cosmos DB from .NET containers
        • Use MongoDB API for local dev/test Linux/Windows containers plus Azure Cosmos DB
        • Analyze your approach for production applications: MongoDB API vs. Cosmos DB API
        • The code: Use MongoDB API in .NET applications
          • A Model used by MongoDB API
          • Retrieve the database and the collection
          • Retrieve the data
          • Use an env-var in the docker-compose.override.yml file for the MongoDB connection string
          • Additional resources
    • Design the microservice application layer and Web API
      • Use SOLID principles and Dependency Injection
        • Additional resources
    • Implement the microservice application layer using the Web API
      • Use Dependency Injection to inject infrastructure objects into your application layer
        • Register the dependency implementation types and interfaces or abstractions
          • Use the built-in IoC container provided by ASP.NET Core
          • Use the Scrutor library for automatic types registration
          • Additional resources
          • Use Autofac as an IoC container
          • Additional resources
      • Implement the Command and Command Handler patterns
        • The command class
        • The Command handler class
          • Additional resources
      • The Command process pipeline: how to trigger a command handler
        • Use the Mediator pattern (in-memory) in the command pipeline
        • Use message queues (out-of-proc) in the command’s pipeline
      • Implement the command process pipeline with a mediator pattern (MediatR)
        • Implement idempotent Commands
        • Register the types used by MediatR
      • Apply cross-cutting concerns when processing commands with the Behaviors in MediatR
        • Additional resources
          • The mediator pattern
          • The decorator pattern
          • MediatR (Jimmy Bogard)
          • Fluent validation
  • Implement resilient applications
    • Handle partial failure
    • Strategies to handle partial failure
      • Additional resources
    • Implement retries with exponential backoff
    • Implement resilient Entity Framework Core SQL connections
      • Execution strategies and explicit transactions using BeginTransaction and multiple DbContexts
      • Additional resources
    • Use IHttpClientFactory to implement resilient HTTP requests
      • Issues with the original HttpClient class available in .NET
      • Benefits of using IHttpClientFactory
      • Multiple ways to use IHttpClientFactory
      • How to use Typed Clients with IHttpClientFactory
        • HttpClient lifetimes
        • Implement your Typed Client classes that use the injected and configured HttpClient
        • Use your Typed Client classes
      • Additional resources
    • Implement HTTP call retries with exponential backoff with IHttpClientFactory and Polly policies
      • Add a jitter strategy to the retry policy
      • Additional resources
    • Implement the Circuit Breaker pattern
      • Implement Circuit Breaker pattern with IHttpClientFactory and Polly
      • Test Http retries and circuit breakers in eShopOnContainers
        • Test the circuit breaker in eShopOnContainers
      • Additional resources
    • Health monitoring
      • Implement health checks in ASP.NET Core services
        • Use the HealthChecks feature in your back-end ASP.NET microservices
        • HealthChecks implementation in eShopOnContainers
        • Query your microservices to report about their health status
      • Use watchdogs
      • Health checks when using orchestrators
      • Advanced monitoring: visualization, analysis, and alerts
      • Additional resources
  • Make secure .NET Microservices and Web Applications
    • Implement authentication in .NET microservices and web applications
      • Authenticate with ASP.NET Core Identity
      • Authenticate with external providers
      • Authenticate with bearer tokens
      • Authenticate with an OpenID Connect or OAuth 2.0 Identity provider
      • Issue security tokens from an ASP.NET Core service
      • Consume security tokens
    • Additional resources
    • About authorization in .NET microservices and web applications
      • Implement role-based authorization
      • Implement policy-based authorization
      • Authorization and minimal apis
      • Additional resources
    • Store application secrets safely during development
      • Store secrets in environment variables
      • Store secrets with the ASP.NET Core Secret Manager
    • Use Azure Key Vault to protect secrets at production time
      • Additional resources
  • .NET Microservices Architecture key takeaways

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