首頁 > 計算機(jī)網(wǎng)絡(luò) >
編程語言與程序設(shè)計
> Building Microservices with .NET Core 2.0（Second Edition）最新章節(jié)目錄
舉報 
會員
Building Microservices with .NET Core 2.0（Second Edition）
最新章節(jié)：
Summary
Thisbookisfor.NETCoredeveloperswhowanttolearnandunderstandthemicroservicesarchitectureandimplementitintheir.NETCoreapplications.It’sidealfordeveloperswhoarecompletelynewtomicroservicesorjusthaveatheoreticalunderstandingofthisarchitecturalapproachandwanttogainapracticalperspectiveinordertobettermanageapplicationcomplexities.
目錄(320章)
倒序
- 封面
- 版權(quán)信息
- Credits
- Foreword
- About the Author
- About the Reviewer
- www.PacktPub.com
- Why subscribe?
- Customer Feedback
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Downloading the example code
- Downloading the color images of this book
- Errata
- Piracy
- Questions
- An Introduction to Microservices
- Origin of microservices
- Discussing microservices
- Monolithic architecture
- Service-Oriented architecture
- What is a service?
- Understanding the microservice architecture
- Messaging in microservices
- Synchronous messaging
- Asynchronous messaging
- Message formats
- Why should we use microservices?
- How does the microservice architecture work?
- Advantages of microservices
- SOA versus microservices
- Prerequisites of the microservice architecture
- Understanding the problems with the monolithic architectural style
- Challenges in standardizing a .NET stack
- Fault tolerance
- Scaling
- Vertical scaling or scale up
- Horizontal scaling or scale out
- Deployment challenges
- Organizational alignment
- Modularity
- Big database
- Prerequisites for microservices
- Functional overview of the application
- Solutions for current challenges
- Handling deployment problems
- Making much better monolithic applications
- Introducing dependency injections
- Database refactoring
- Database sharding and partitioning
- DevOps culture
- Automation
- Testing
- Versioning
- Deployment
- Identifying decomposition candidates within monolithic
- Important microservices advantages
- Technology independence
- Interdependency removal
- Alignment with business goals
- Cost benefits
- Easy scalability
- Security
- Data management
- Integrating monolithic
- Overview of Azure Service Fabric
- Summary
- Implementing Microservices
- Introduction
- C# 7.0
- Entity Framework Core
- Visual Studio 2017
- Microsoft SQLServer
- Size of microservices
- What makes a good service?
- DDD and its importance for microservices
- Domain model design
- Importance for microservices
- The concept of seam
- Module interdependency
- Technology
- Team structure
- Database
- Master data
- Transaction
- Communication between microservices
- Benefits of the API gateway for microservices
- API gateway versus API management
- Revisiting the Flix One case study
- Prerequisites
- Transitioning to our product service
- Migrations
- Code migration
- Creating our project
- Adding the model
- Adding a repository
- Registering the repositories
- Adding a product controller
- The ProductService API
- Adding EF core support
- EF Core DbContext
- EF Core migrations
- Database migration
- Revisiting repositories and the controller
- Introducing ViewModel
- Revisiting the product controller
- Adding Swagger support
- Summary
- Integration Techniques and Microservices
- Communication between services
- Styles of collaboration
- Integration patterns
- The API gateway
- The event-driven pattern
- Event sourcing
- Eventual consistency
- Compensating transactions
- Competing consumers
- Azure Service Bus
- Azure queues
- Implementing an Azure Service Bus queue
- Prerequisites
- Sending messages to the queue
- Adding configuration settings
- Receiving messages from the queue
- Summary
- Testing Microservices
- How to test microservices
- Handling challenges
- Testing strategies (testing approach)
- Testing pyramid
- Types of microservice tests
- Unit testing
- Component (service) testing
- Integration testing
- Contract testing
- Consumer-driven contracts
- How to implement a consumer-driven test
- How Pact-net-core helps us achieve our goal
- Performance testing
- End-to-end (UI/functional) testing
- Sociable versus isolated unit tests
- Stubs and mocks
- Tests in action
- Getting ready for the test project
- Unit tests
- Integration tests
- Consumer-driven contract tests
- Summary
- Deploying Microservices
- Monolithic application deployment challenges
- Understanding the deployment terminology
- Prerequisites for successful microservice deployments
- Isolation requirements for microservice deployment
- Need for a new deployment paradigm
- Containers
- What are containers?
- Suitability of containers over virtual machines
- Transformation of the operation team's mindset
- Containers are new binaries
- Does it work on your machine? Let's ship your machine!
- Introducing Docker
- Microservice deployment with Docker overview
- Microservice deployment example using Docker
- Setting up Docker on your machine
- Prerequisites
- Creating an ASP.NET Core web application
- Summary
- Securing Microservices
- Security in monolithic applications
- Security in microservices
- Why won't a traditional .NET auth mechanism work?
- JSON Web Tokens
- What is OAuth 2.0?
- What is OpenID Connect?
- Azure Active Directory
- Microservice Auth example with OpenID Connect OAuth 2.0 and Azure AD
- Registration of TodoListService and TodoListWebApp with Azure AD tenant
- Generation of AppKey for TodoListWebApp
- Configuring Visual Studio solution projects
- Generate client certificates on IIS Express
- Running both the applications
- Azure API management as an API gateway
- Rate limit and quota policy example
- Container security
- Other security best practices
- Summary
- Monitoring Microservices
- Instrumentation and telemetry
- Instrumentation
- Telemetry
- The need for monitoring
- Health monitoring
- Availability monitoring
- Performance monitoring
- Security monitoring
- SLA monitoring
- Auditing sensitive data and critical business transactions
- End user monitoring
- Troubleshooting system failures
- Monitoring challenges
- Scale
- DevOps mindset
- Data flow visualization
- Testing of monitoring tools
- Monitoring strategies
- Application/system monitoring
- Real user monitoring
- Semantic monitoring and synthetic transactions
- Profiling
- Endpoint monitoring
- Logging
- Logging challenges
- Logging strategies
- Centralized logging
- Using a correlation ID in logging
- Semantic logging
- Monitoring in Azure Cloud
- Microsoft Azure Diagnostics
- Storing diagnostic data using Azure storage
- Using Azure portal
- Specifying a storage account
- Azure storage schema for diagnostic data
- Introduction of Application Insights
- Other microservice monitoring solutions
- A brief overview of the ELK stack
- Elasticsearch
- Logstash
- Kibana
- Splunk
- Alerting
- Reporting
- Summary
- Scaling Microservices
- Scalability overview
- Scaling infrastructure
- Vertical scaling (scaling up)
- Horizontal scaling (scaling out)
- Microservice scalability
- Scale Cube model of scalability
- Scaling of x axis
- Scaling of z axis
- Scaling of y axis
- Characteristics of a scalable microservice
- Scaling the infrastructure
- Scaling virtual machines using scale sets
- Auto Scaling
- Container scaling using Docker Swarm
- Scaling service design
- Data persistence model design
- Caching mechanism
- CacheCow
- Azure Redis Cache
- Redundancy and fault tolerance
- Circuit breakers
- Closed state
- Open state
- Half-Open state
- Service discovery
- Summary
- Introduction to Reactive Microservices
- Understanding reactive microservices
- Responsiveness
- Autonomous
- Message-driven: a core of reactive microservices
- Let's make code reactive
- Event communication
- Security
- Message-level security
- Scalability
- Communication resilience
- Managing data
- The microservice ecosystem
- Coding reactive microservices
- Creating the project
- Communication between the application and the database
- Client – coding it down
- Summary
- Creating a Complete Microservice Solution
- Architectures before microservices
- The monolithic architecture
- Challenges in standardizing the .NET stack
- Scaling
- Service-oriented architecture
- Microservice-styled architecture
- Messaging in microservices
- Monolith transitioning
- Integration techniques
- Deployment
- Testing microservices
- Security
- Monitoring
- Monitoring challenges
- Scale
- Component lifespan
- Information visualization
- Monitoring strategies
- Scalability
- Infrastructure scaling
- Service design
- Reactive microservices
- Greenfield application
- Scoping our services
- The book-listing microservice
- The book-searching microservice
- The shopping-cart microservice
- The order microservice
- User-authentication
- Synchronous versus asynchronous
- The book-catalog microservice
- The shopping-cart microservice
- The order microservice
- The user-authentication microservice
- Summary 更新時間：2021-07-02 20:13:48
推薦閱讀
- Instant Testing with CasperJS
- SQL Server 2012數(shù)據(jù)庫技術(shù)及應(yīng)用（微課版·第5版）
- 神經(jīng)網(wǎng)絡(luò)編程實戰(zhàn)：Java語言實現(xiàn)（原書第2版）
- Java程序設(shè)計與計算思維
- 新編Premiere Pro CC從入門到精通
- React.js Essentials
- Object-Oriented JavaScript（Second Edition）
- Oracle BAM 11gR1 Handbook
- 精通Python自動化編程
- Java SE實踐教程
- 開源項目成功之道
- 新印象：解構(gòu)UI界面設(shè)計
- C指針原理揭秘：基于底層實現(xiàn)機(jī)制
- C語言程序設(shè)計實踐
- Microsoft HoloLens By Example
- Python Linux系統(tǒng)管理與自動化運(yùn)維
- Microsoft XNA 4.0 Game Development Cookbook
- 程序員的英語
- 深度剖析ApacheDubbo核心技術(shù)內(nèi)幕
- CorelDRAW X6中文版應(yīng)用教程（第二版）
- Hybrid Mobile Development with Ionic
- 大數(shù)據(jù)高并發(fā)Redis一本通
- Visual C++2013從入門到精通（視頻教學(xué)版）
- 輕松玩轉(zhuǎn)Scratch 3.0編程（第2版）
- Scratch 3.0 趣圖探秘
- Web安全之強(qiáng)化學(xué)習(xí)與GAN
- AWS Tools for PowerShell 6
- Java寶典
- 千金良方：MySQL性能優(yōu)化金字塔法則
- Visual FoxPro程序設(shè)計實驗教程
