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Quarkus Cookbook - Helion

Quarkus Cookbook
ebook
Autor: Alex Soto Bueno, Jason Porter
ISBN: 978-14-920-6260-8
stron: 394, Format: ebook
Data wydania: 2020-07-14
Księgarnia: Helion

Cena książki: 211,65 zł (poprzednio: 246,10 zł)
Oszczędzasz: 14% (-34,45 zł)

Dodaj do koszyka Quarkus Cookbook

Optimized for Kubernetes, Quarkus is designed to help you create Java applications that are cloud first, container native, and serverless capable. With this cookbook, authors Alex Soto Bueno and Jason Porter from Red Hat provide detailed solutions for installing, interacting with, and using Quarkus in the development and production of microservices.



The recipes in this book show midlevel to senior developers familiar with Java enterprise application development how to get started with Quarkus quickly. You’ll become familiar with how Quarkus works within the wider Java ecosystem and discover ways to adapt this framework to your particular needs.



You’ll learn how to:



  • Shorten the development cycle by enabling live reloading in dev mode
  • Connect to and communicate with Kafka
  • Develop with the reactive programming model
  • Easily add fault tolerance to your services
  • Build your application as a Kubernetes-ready container
  • Ease development with OpenAPI and test a native Quarkus application

Dodaj do koszyka Quarkus Cookbook

 

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Dodaj do koszyka Quarkus Cookbook

Spis treści

Quarkus Cookbook eBook -- spis treści

  • Foreword
  • Preface
    • Who Should Read This Book
    • Why We Wrote This Book
    • Navigating This Book
    • Conventions Used in This Book
    • Using Code Examples
    • OReilly Online Learning
    • How to Contact Us
    • Acknowledgments
  • 1. Quarkus Overview
    • Developer-Friendly
    • Integration with Kubernetes
    • Memory and First Response Time
    • A Basic Quarkus Workflow
  • 2. Scaffolding
    • 2.1. Scaffolding a Quarkus Project with Maven
    • 2.2. Scaffolding a Quarkus Project with Gradle
    • 2.3. Scaffolding a Quarkus Project with the Quarkus Start Coding Website
    • 2.4. Scaffolding a Quarkus Project with Visual Studio Code
    • 2.5. Live Reloading with Dev Mode
    • 2.6. Serving Static Resources
  • 3. Developing RESTful Services
    • 3.1. Creating a Simple REST API Endpoint
    • 3.2. Extracting Request Parameters
    • 3.3. Using Semantic HTTP Response Status Codes
    • 3.4. Binding HTTP Methods
    • 3.5. Enabling Cross-Origin Resource Sharing (CORS)
    • 3.6. Using Reactive Routes
    • 3.7. Intercepting HTTP Requests
    • 3.8. Secure Connections with SSL
  • 4. Configuration
    • 4.1. Configuring the Application with Custom Properties
    • 4.2. Accessing Configuration Properties Programmatically
    • 4.3. Overwriting Configuration Values Externally
    • 4.4. Configuring with Profiles
    • 4.5. Changing Logger Configuration
    • 4.6. Adding Application Logs
    • 4.7. Advanced Logging
    • 4.8. Configuring with Custom Profiles
    • 4.9. Creating Custom Sources
    • 4.10. Creating Custom Converters
    • 4.11. Grouping Configuration Values
    • 4.12. Validating Configuration Values
  • 5. Programming Model
    • 5.1. Marshalling/Unmarshalling JSON
    • 5.2. Marshalling/Unmarshalling XML
    • 5.3. Validating Input and Output Values
    • 5.4. Creating Custom Validations
    • 5.5. Validating Objects Programmatically
    • 5.6. Injecting Dependencies
    • 5.7. Creating Factories
    • 5.8. Executing Object Life Cycle Events
    • 5.9. Executing Application Life Cycle Events
    • 5.10. Using a Named Qualifier
    • 5.11. Using Custom Qualifiers
    • 5.12. Qualifying and Configuring Annotations
    • 5.13. Creating Interceptors
    • 5.14. Writing Behavioral Tests
    • 5.15. Writing Unit Tests
    • 5.16. Creating Mock Objects
    • 5.17. Creating Mock Objects with Mockito
    • 5.18. Grouping Several Annotations into One with a Meta-Annotation
    • 5.19. Executing Code Before or After a Test
    • 5.20. Testing the Native Executable
  • 6. Packaging Quarkus Applications
    • 6.1. Running in Command Mode
    • 6.2. Creating a Runnable JAR File
    • 6.3. Ãœber-JAR Packaging
    • 6.4. Building a Native Executable
    • 6.5. Building a Docker Container for JAR File
    • 6.6. Building a Docker Container for Native File
    • 6.7. Build and Dockerize a Native SSL Application
  • 7. Persistence
    • 7.1. Defining a Datasource
    • 7.2. Using Multiple Datasources
    • 7.3. Adding Datasource Health Check
    • 7.4. Defining Transaction Boundaries Declaratively
    • 7.5. Setting a Transaction Context
    • 7.6. Programmatic Transaction Control
    • 7.7. Setting and Modifying a Transaction Timeout
    • 7.8. Setup with Persistence.xml
    • 7.9. Setup Without persistence.xml
    • 7.10. Using Entities from a Different JAR
    • 7.11. Persisting Data with Panache
    • 7.12. Finding All Entity Instances with Panache listAll Method
    • 7.13. Finding Individual Entities with Panache findById Method
    • 7.14. Finding Entities Using Panache Find and List Methods
    • 7.15. Obtaining a Count of Entities Using the Panache count Method
    • 7.16. Paginating Through Entity Lists Using the Panache page Method
    • 7.17. Streaming Results via the Panache Stream Method
    • 7.18. Testing Panache Entities
    • 7.19. Using a Data Access Object (DAO) or Repository Pattern
    • 7.20. Using Amazon DynamoDB
    • 7.21. Working with MongoDB
    • 7.22. Using Panache with MongoDB
    • 7.23. Using Neo4j with Quarkus
    • 7.24. Flyway at Startup
    • 7.25. Using Flyway Programmatically
  • 8. Fault Tolerance
    • 8.1. Implementing Automatic Retries
    • 8.2. Implementing Timeouts
    • 8.3. Avoiding Overloads with the Bulkhead Pattern
    • 8.4. Avoiding Unnecessary Calls with the Circuit Breaker Pattern
    • 8.5. Disabling Fault Tolerance
  • 9. Observability
    • 9.1. Using Automatic Health Checks
    • 9.2. Creating Custom Health Checks
    • 9.3. Exposing Metrics
    • 9.4. Creating Metrics
    • 9.5. Using Distributed Tracing
    • 9.6. Custom Distributed Tracing
  • 10. Integrating with Kubernetes
    • 10.1. Building and Pushing Container Images
    • 10.2. Generating Kubernetes Resources
    • 10.3. Generating Kubernetes Resources with Health Checks
    • 10.4. Deploying Services on Kubernetes
    • 10.5. Deploying Services on OpenShift
    • 10.6. Building and Deploying a Container Image Automatically
    • 10.7. Configuring an Application from Kubernetes
    • 10.8. Configuring an Application from Kubernetes with Config Extension
    • 10.9. Interacting with a Kubernetes Cluster Programmatically
    • 10.10. Testing Kubernetes Client Interactions
    • 10.11. Implementing a Kubernetes Operator
    • 10.12. Deploying and Managing Serverless Workloads with Knative
  • 11. Authentication and Authorization
    • Quarkus Security Basics
    • 11.1. Authentication and Authorization with Elytron Properties File Config
    • 11.2. Authentication and Authorization with Elytron Security JDBC Config
    • 11.3. Authorization with MicroProfile JWT
    • 11.4. Authorization and Authentication with OpenId Connect
    • 11.5. Protecting Web Resources with OpenId Connect
  • 12. Application Secrets Management
    • 12.1. Storing Data Using Kubernetes Secrets
    • 12.2. Store Configuration Secrets Securely with Vault
    • 12.3. Cryptography as a Service
    • 12.4. Generate Database Password as Secret
    • 12.5. Authenticating Services Using Vault Kubernetes Auth
  • 13. Quarkus REST Clients
    • 13.1. Using the JAX-RS Web Client
    • 13.2. Using the MicroProfile REST Client
    • 13.3. Implementing a CRUD Client
    • 13.4. Manipulating Headers
    • 13.5. Using REST Client for Multipart Messages
    • 13.6. Using REST Client to Configure SSL
  • 14. Developing Quarkus Applications Using Spring APIs
    • 14.1. Using Spring Dependency Injection
    • 14.2. Using Spring Web
    • 14.3. Using Spring Data JPA
    • 14.4. Using Spring Security
    • 14.5. Using Spring Boot Properties
  • 15. Working with a Reactive Programming Model
    • 15.1. Creating Async HTTP Endpoints
    • 15.2. Streaming Data Asynchronously
    • 15.3. Using Messaging to Decouple Components
    • 15.4. Reacting to Apache Kafka Messages
    • 15.5. Sending Messages to Apache Kafka
    • 15.6. Marshalling POJOs into/out of Kafka
    • 15.7. Using Kafka Streams API
    • 15.8. Using AMQP with Quarkus
    • 15.9. Using MQTT
    • 15.10. Query Using Reactive SQL
    • 15.11. Insert Using Reactive SQL Client
    • 15.12. Using the Reactive MongoDB Client
    • 15.13. Using the Reactive Neo4j Client
  • 16. Additional Quarkus Features
    • 16.1. Creating Templates with the Qute Template Engine
    • 16.2. Rending HTML Using Qute
    • 16.3. Changing the Location of Qute Templates
    • 16.4. Extending Qute Data Classes
    • 16.5. Describing Endpoints with OpenAPI
    • 16.6. Customizing OpenAPI Spec
    • 16.7. Sending Email Synchronously
    • 16.8. Sending Email Reactively
    • 16.9. Creating Scheduled Jobs
    • 16.10. Using Application Data Caching
  • A. Minikube
  • B. Keycloak
  • C. Knative
  • Index

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