Practical Cloud-Native Java Development with MicroProfile: Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1

Cover
Title
Copyright and Credits
Foreword
Table of Contents
Section 1: Cloud-Native Applications
Chapter 1: Cloud-Native Applications
	What is a cloud-native application?
	Introducing distributed computing
	Exploring cloud-native application architectures
		Microservices
		Monoliths
		Macroservices
		Function as a Service
		Event sourcing
	Cloud-native development best practices
		Twelve-Factor App
		Other best practices
	Summary
Chapter 2: How Does MicroProfile Fit into Cloud-Native Application Development?
	MicroProfile overview
		History of MicroProfile
		Characteristics of MicroProfile
	MicroProfile specifications
		Platform release
		Standalone releases
	MicroProfile Starter
		Accessing MicroProfile Starter via the web
		Accessing MicroProfile Starter via the command line
		Accessing MicroProfile Starter via an IDE plugin
		IntelliJ IDEA plugin
	Summary
Chapter 3: Introducing the IBM Stock Trader Cloud-Native Application
	Overview of the IBM Stock Trader application
		UIs
		Architectural diagram
	Mandatory microservices and external services
		Trader
		Broker
		Portfolio
		Stock Quote
	Optional microservices and external services
		Tradr
		Account
		Trade History
		Messaging
		Notifications
		Collector
		Looper
	Summary
Section 2: MicroProfile 4.1 Deep Dive
Chapter 4: Developing Cloud-Native Applications
	Technical requirements
	Developing a RESTful service with JAX-RS
		Hello World!
		A more real-world example
		Entity providers and ParamConverter
		Intercepting requests and responses
		Dynamic providers
		Async
		Context injection
	Managing the payload with JSON-P and JSON-B
		JSON-P
		JSON-B
	Consuming RESTful services with the MicroProfile Rest Client
		JAX-RS Client APIs
		MicroProfile Rest Client
		Client-side providers
		Async
		Propagating HTTP headers from server to client
	Managing life cycle and DI with CDI
		Scopes
		Injection
	Summary
Chapter 5: Enhancing Cloud-Native Applications
	Configuring cloud-native applications using MicroProfile Config
		Storing configuration
		Removing properties
		Converters
		Config lookup
		Building a Config instance yourself
		Making the MicroProfile Config API available
	Making a cloud application resilient using MicroProfile Fault tolerance
		@Asynchronous
		@Retry
		@Timeout
		@CircuitBreaker
		The Bulkhead pattern
		Fallback
		Using Fault Tolerance annotations together
		Fault Tolerance configuration
		Making the MicroProfile Fault Tolerance API available
	Documenting cloud native applications using MicroProfile OpenAPI
		Applying MicroProfile OpenAPI annotations on JAX-RS operations
		Using a programming model to generate documentation
		Using pre-generated OpenAPI documents
		Applying filters to the OpenAPI document
		MicroProfile OpenAPI configuration
		Viewing an OpenAPI document
		Making MicroProfile OpenAPI APIs available
	Securing cloud-native applications using MicroProfile JWT
		JWT format
		How does MicroProfile JWT work?
		Where to find the public key and private key
		How to make MicroProfile JWT available to applications?
	Summary
Chapter 6: Observing and Monitoring Cloud-Native Applications
	Technical requirements
	Determining the health of your cloud-native application using MicroProfile Health
		The importance of MicroProfile Health in a cloud-native application
		MicroProfile Health technology overview
		Instrumenting health check procedures
		Retrieving health check data
		MicroProfile health checks with Kubernetes\' liveness, readiness, and startup probes
	Instrumenting metrics on your cloud-native application using MicroProfile Metrics
		The importance of MicroProfile Metrics in a cloud-native application
		MicroProfile Metrics technology overview
		The seven metric types
		The metric model
		Instrumenting metrics
		Visualizing metric data with Prometheus and Grafana
	Tracing your cloud-native application using MicroProfile OpenTracing
		The importance of and an overview of MicroProfile OpenTracing in a cloud-native application
		Auto-instrumenting JAX-RS requests
		Instrumenting the @Traced annotation and injecting a tracer
		Visualizing traces with Jaeger
	Summary
Cgapter 7: MicroProfile Ecosystem with Open Liberty, Docker, and Kubernetes
	Technical requirements
	Deploying cloud-native applications to Open Liberty
	Containerizing cloud-native applications using Docker
		The container image
	Deploying cloud-native applications to Kubernetes
		MicroProfile Health in Kubernetes
		MicroProfile Config in Kubernetes
	MicroProfile and Service Mesh
	Summary
Section 3: End-to-End Project Using MicroProfile
Chapter 8: Building and Testing Your Cloud-Native Application
	Technical requirements
	Compiling the Stock Trader microservices
		GitHub
		Maven
	Building the Stock Trader container images
		Open Liberty
		Docker
	Testing the Stock Trader microservices
		Testing the frontend microservice
		Testing a backend microservice
	Using MicroProfile features in Stock Trader
		Implicit usage of MicroProfile features
	Summary
Chapter 9: Deployment and Day 2 Operations
	Technical requirements
	Understanding the role of operators
	Installing the operator via the OpenShift console
		OperatorHub
		Installing the operator
	Deploying the application via the operator form UI
	Deploying the application via the CLI
	Understanding day 2 operations
		Scaling a microservice
		Upgrading a microservice
		Performing problem determination
	Summary
Section 4: MicroProfile Standalone Specifications and the Future
Chapter 10: Reactive Cloud-Native Applications
	Differentiating between imperative and reactive applications
	Using MicroProfile Context Propagation to manage context
		Using ManagedExecutor to propagate context
		Using ThreadContext to propagate context
	Using MicroProfile Reactive Messaging to build a reactive application
		Message
		Message acknowledgment
		Channel
		Message consumption using @Incoming
		Message production using @Outgoing
		Message processing using both @Incoming and @Outgoing
		Using Emitter to publish messages
		Using a connector to bridge to an external messaging technology
	Summary
Chapter 11: MicroProfile GraphQL
	Technical requirements
	Understanding GraphQL basics and when to use it
	Building services with MP GraphQL
		Developing queries
		Developing mutations
		Writing entities
		Outsourcing
		Sending partial results using GraphQLException
	Consuming GraphQL services with client APIs
		Dynamic client
		Type-safe client
	Summary
Chapter 12: MicroProfile LRA and the Future of MicroProfile
	Cloud-native application transactions
		Using MicroProfile LRA for cloud-native application transactions
		Making MicroProfile LRA available
	Using the latest MicroProfile platform release
	MicroProfile\'s technical roadmap
		Adopting OpenTelemetry in MicroProfile
		What is the future of MicroProfile Metrics?
		Adopting gPRC
		MicroProfile and Jakarta EE alignment
		Aligning MicroProfile 5.0 with Jakarta EE 9.1
	Summary
Index