Cloud Native Java. Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry - Helion

ebook

Autor: Josh Long, Kenny Bastani
ISBN: 9781449374594
stron: 648, Format: ebook
Data wydania: 2017-08-11
Księgarnia: Helion

Cena książki: 228,65 zł (poprzednio: 265,87 zł)
Oszczędzasz: 14% (-37,22 zł)

Osoby, które kupiły tę książkę, wybierały także »

Tagi: Java - Programowanie

What separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry.

Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integration and delivery. Authors Josh Long and Kenny Bastani fully immerse you in the tools and methodologies that will help you transform your legacy application into one that is genuinely cloud native.

In four sections, this book takes you through:

The Basics: learn the motivations behind cloud native thinking; configure and test a Spring Boot application; and move your legacy application to the cloud
Web Services: build HTTP and RESTful services with Spring; route requests in your distributed system; and build edge services closer to the data
Data Integration: manage your data with Spring Data, and integrate distributed services with Spring’s support for event-driven, messaging-centric architectures
Production: make your system observable; use service brokers to connect stateful services; and understand the big ideas behind continuous delivery

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Spis treści

Cloud Native Java. Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry eBook -- spis treści

Foreword (James Watters)
Foreword (Rod Johnson)
Preface
- Who Should Read This Book
- Why We Wrote This Book
- Navigating This Book
- Online Resources
- Conventions Used in This Book
- Using Code Examples
- OReilly Safari
- How to Contact Us
- Acknowledgments
  - Josh Long
  - Kenny Bastani
I. Basics
- 1. The Cloud Native Application
  - Amazons Story
  - The Promise of a Platform
  - The Patterns
  - Scalability
  - Reliability
  - Agility
  - Netflixs Story
    - Microservices
    - Splitting the Monolith
    - Netflix OSS
    - Cloud Native Java
  - The Twelve Factors
    - Codebase
      - One codebase tracked in revision control, many deploys
    - Dependencies
      - Explicitly declare and isolate dependencies
    - Config
      - Store config in the environment
    - Backing Services
      - Treat backing services as attached resources
    - Build, Release, Run
      - Strictly separate build and run stages
    - Processes
      - Execute the app as one or more stateless processes
    - Port Bindings
      - Export services via port binding
    - Concurrency
      - Scale out via the process model
    - Disposability
      - Maximize robustness with fast startup and graceful shutdown
    - Dev/Prod Parity
      - Keep development, staging, and production as similar as possible
    - Logs
      - Treat logs as event streams
    - Admin Processes
      - Run admin/management tasks as one-off processes
  - Summary
- 2. Bootcamp: Introducing Spring Boot and Cloud Foundry
  - What Is Spring Boot?
  - Getting Started with the Spring Initializr
  - Getting Started with the Spring Tool Suite
    - Installing Spring Tool Suite (STS)
    - Creating a New Project with the Spring Initializr
  - The Spring Guides
    - Following the Guides in STS
  - Configuration
  - Cloud Foundry
  - Summary
- 3. Twelve-Factor Application Style Configuration
  - The Confusing Conflation of Configuration
  - Support in Spring Framework
    - The PropertyPlaceholderConfigurer
    - The Environment Abstraction and @Value
    - Profiles
  - Bootiful Configuration
  - Centralized, Journaled Configuration with the Spring Cloud Configuration Server
    - The Spring Cloud Config Server
    - Spring Cloud Config Clients
    - Security
  - Refreshable Configuration
  - Summary
- 4. Testing
  - The Makeup of a Test
  - Testing in Spring Boot
  - Integration Testing
    - Test Slices
    - Mocking in Tests
    - Working with the Servlet Container in @SpringBootTest
    - Slices
      - @JsonTest
      - @WebMvcTest
      - @DataJpaTest
      - @RestClientTest
  - End-to-End Testing
    - Testing Distributed Systems
    - Consumer-Driven Contract Testing
    - Spring Cloud Contract
  - Summary
- 5. The Forklifted Application
  - The Contract
  - Migrating Application Environments
    - The Out-of-the-Box Buildpacks
    - Custom(ized) Buildpacks
    - Containerized Applications
  - Soft-Touch Refactoring to Get Your Application into the Cloud
    - Talking to Backing Services
    - Achieving Service Parity with Spring
      - Remote Procedure Calls
      - HTTP sessions with Spring Session
      - The Java Message Service
      - Distributed transactions using the X/Open XA Protocol and JTA
      - Cloud filesystems
      - HTTPS
      - Email
      - Identity management
  - Summary
II. Web Services
- 6. REST APIs
  - Leonard Richardsons Maturity Model
  - Simple REST APIs with Spring MVC
  - Content Negotiation
    - Reading and Writing Binary Data
    - Google Protocol Buffers
  - Error Handling
  - Hypermedia
    - Media Type and Schema
  - API Versioning
  - Documenting REST APIs
  - The Client Side
    - REST Clients for Ad Hoc Exploration and Interaction
    - The RestTemplate
  - Summary
- 7. Routing
  - The DiscoveryClient Abstraction
  - Cloud Foundry Route Services
  - Summary
- 8. Edge Services
  - The Greetings Service
  - A Simple Edge Service
  - Netflix Feign
  - Filtering and Proxying with Netflix Zuul
    - A Custom Zuul Filter
  - Security on the Edge
  - OAuth
    - Service-Side Applications
    - HTML5 and JavaScript Single-Page Applications
    - Applications Without Users
    - Trusted Clients
  - Spring Security
  - Spring Cloud Security
    - A Spring Security OAuth Authorization Server
    - Securing the Greetings Resource Server
    - Build an OAuth-Secured Single-Page Application
    - Summary
III. Data Integration
- 9. Managing Data
  - Modeling Data
    - Relational Database Management Systems (RDBMS)
    - NoSQL
  - Spring Data
    - Structure of a Spring Data Application
    - Domain Class
    - Repositories
    - Organizing Java Packages for Domain Data
      - Supported repositories
  - Getting Started with RDBMS Data Access on JDBC
  - Springs JDBC Support
  - Spring Data Examples
  - Spring Data JPA
    - Account Service
      - Using profiles for different data sources
      - Describing the Account Services domain with JPA
      - Auditing with JPA
    - Integration Tests
  - Spring Data MongoDB
    - Order Service
      - Document classes with MongoDB
      - Auditing with MongoDB
    - Integration Tests
  - Spring Data Neo4j
    - Inventory Service
      - Configuring Neo4j
      - Graph data modeling with Neo4j
    - Integration Tests
  - Spring Data Redis
    - Caching
  - Summary
- 10. Messaging
  - Event-Driven Architectures with Spring Integration
    - Messaging Endpoints
    - From Simple Components, Complex Systems
  - Message Brokers, Bridges, the Competing Consumer Pattern, and Event Sourcing
    - Publish-Subscribe Destination
    - Point-to-Point Destination
  - Spring Cloud Stream
    - A Stream Producer
    - A Stream Consumer
  - Summary
- 11. Batch Processes and Tasks
  - Batch Workloads
  - Spring Batch
    - Our First Batch Job
  - Scheduling
  - Remote Partitioning a Spring Batch Job with Messaging
  - Task Management
  - Process-Centric Integration with Workflow
  - Distribution with Messaging
  - Summary
- 12. Data Integration
  - Distributed Transactions
  - Isolating Failures and Graceful Degradation
  - The Saga Pattern
  - CQRS (Command Query Responsibility Segregation)
    - The Complaints API
    - The Complaint Statistics API
  - Spring Cloud Data Flow
    - Streams
    - Tasks
    - The REST API
    - Meet the Data Flow Clients
      - The Dashboard
      - The Spring Cloud Data Flow shell
      - The DataFlowTemplate
  - Summary
IV. Production
- 13. The Observable System
  - You Build It, You Run It
  - Murder Mystery Microservices
  - Twelve-Factor Operations
  - The New Deal
  - Observability
  - Push Versus Pull Observability and Resolution
  - Capturing an Applications Present Status with Spring Boot Actuator
  - Metrics
    - Joined-up views of metrics
    - Metric data dimensions
    - Shipping metrics from a Spring Boot application
  - Identifying Your Service with the /info Endpoint
  - Health Checks
  - Audit Events
  - Application Logging
    - Specifying Log Output
    - Specifying Log Levels
  - Distributed Tracing
    - Finding Clues with Spring Cloud Sleuth
    - How Much Data Is Enough?
    - OpenZipkin: A Picture Is Worth a Thousand Traces
    - Tracing Other Platforms and Technologies
  - Dashboards
    - Monitoring Downstream Services with the Hystrix Dashboard
    - Codecentrics Spring Boot Admin
    - Ordina Microservices Dashboard
    - Pivotal Cloud Foundrys AppsManager
  - Remediation
  - Summary
- 14. Service Brokers
  - The Life of a Backing Service
  - The View from the Platform
  - Implementing a Service Broker with Spring Cloud Cloud Foundry Service Broker
    - A Simple Amazon S3 Service Broker
    - The Service Catalog
    - Managing Service Instances
    - Service Bindings
    - Securing the Service Broker
  - Deployment
    - Releasing with BOSH
    - Releasing with Cloud Foundry
  - Registering the Amazon S3 Service Broker
  - Creating Amazon S3 Service Instances
    - Consuming Service Instances
  - An S3 Client Application
  - Seeing It All Come Together
  - Summary
- 15. Continuous Delivery
  - Beyond Continuous Integration
    - John Allspaw at Flickr and then Etsy
    - Adrian Cockroft at Netflix
    - Continuous Delivery at Amazon
  - The Pipeline
  - Testing
  - Continuous Delivery for Microservices
  - Tools
  - Concourse
    - Containers
  - Continuously Delivering Microservices
    - Installing Concourse
    - Basic Pipeline Design
      - Start pipeline
      - Continuous Deployment
      - Build and test
      - Versioned Maven artifact
      - Deploy to Cloud Foundry
    - Continuous Integration
  - Consumer-Driven Contract Testing
    - User Microservice Pipeline
  - Data
  - To Production!
V. Appendix
- A. Using Spring Boot with Java EE
  - Compatibility and Stability
  - Dependency Injection with JSR 330 (and JSR 250)
  - Using Servlet APIs in a Spring Boot Application
  - Building REST APIs with JAX-RS (Jersey)
  - JTA and XA Transaction Management
    - Resource-Local Transactions with Springs PlatformTransactionManager
    - Global Transactions with the Java Transaction API (JTA)
  - Deployment in a Java EE Environment
  - Summary
Index