Microservices with Spring Boot and Spring Cloud - Build resilient and scalable microservices using Spring Cloud, Istio, and Kubernetes

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Table of Contents
Preface
Part I - Getting Started with Microservice Development Using Spring Boot
Chapter 1: Introduction to Microservices
	Technical requirements
	My way into microservices
		Benefits of autonomous software components
		Challenges with autonomous software components
		Enter microservices
		A sample microservice landscape
	Defining a microservice
	Challenges with microservices
	Design patterns for microservices
		Service discovery
			Problem
			Solution
			Solution requirements
		Edge server
			Problem
			Solution
			Solution requirements
		Reactive microservices
			Problem
			Solution
			Solution requirements
		Central configuration
			Problem
			Solution
			Solution requirements
		Centralized log analysis
			Problem
			Solution
			Solution requirements
		Distributed tracing
			Problem
			Solution
			Solution requirements
		Circuit breaker
			Problem
			Solution
			Solution requirements
		Control loop
			Problem
			Solution
			Solution requirements
		Centralized monitoring and alarms
			Problem
			Solution
			Solution requirements
	Software enablers
	Other important considerations
	Summary
Chapter 2: Introduction to Spring Boot
	Technical requirements
	Spring Boot
		Convention over configuration and fat JAR files
		Code examples for setting up a Spring Boot application
			The magic @SpringBootApplication annotation
			Component scanning
			Java-based configuration
	Spring WebFlux
		Code examples of setting up a REST service
			Starter dependencies
			Property files
			Sample RestController
	springdoc-openapi
	Spring Data
		Entity
		Repositories
	Spring Cloud Stream
		Code examples for sending and receiving messages
	Docker
	Summary
	Questions
Chapter 3: Creating a Set of Cooperating Microservices
	Technical requirements
	Introducing the microservice landscape
		Information handled by the microservices
			Product service
			Review service
			Recommendation service
			Product composite service
			Infrastructure-related information
		Temporarily replacing service discovery
	Generating skeleton microservices
		Using Spring Initializr to generate skeleton code
		Setting up multi-project builds in Gradle
	Adding RESTful APIs
		Adding an API and a util project
			The API project
			The util project
		Implementing our API
	Adding a composite microservice
		API classes
		Properties
		Integration component
		Composite API implementation
	Adding error handling
		The global REST controller exception handler
		Error handling in API implementations
		Error handling in the API client
	Testing APIs manually
	Adding automated microservice tests in isolation
	Adding semi-automated tests of a microservice landscape
		Trying out the test script
	Summary
	Questions
Chapter 4: Deploying Our Microservices Using Docker
	Technical requirements
	Introduction to Docker
		Running our first Docker commands
	Challenges with running Java in Docker
		Limiting available CPUs
		Limiting available memory
	Using Docker with one microservice
		Changes in source code
		Building a Docker image
		Starting up the service
		Running the container detached
	Managing a landscape of microservices using Docker Compose
		Changes in the source code
		Starting up the microservice landscape
	Automating tests of cooperating microservices
		Troubleshooting a test run
	Summary
	Questions
Chapter 5: Adding an API Description Using OpenAPI
	Technical requirements
	Introduction to using springdoc-openapi
	Adding springdoc-openapi to the source code
		Adding dependencies to the Gradle build files
		Adding OpenAPI configuration and general API documentation to the ProductCompositeService
		Adding API-specific documentation to the ProductCompositeService interface
	Building and starting the microservice landscape
	Trying out the OpenAPI documentation
	Summary
	Questions
Chapter 6: Adding Persistence
	Technical requirements
	Chapter objectives
	Adding a persistence layer to the core microservices
		Adding dependencies
		Storing data with entity classes
		Defining repositories in Spring Data
	Writing automated tests that focus on persistence
		Using Testcontainers
		Writing persistence tests
	Using the persistence layer in the service layer
		Logging the database connection URL
		Adding new APIs
		Calling the persistence layer from the service layer
		Declaring a Java bean mapper
		Updating the service tests
	Extending the composite service API
		Adding new operations in the composite service API
		Adding methods in the integration layer
		Implementing the new composite API operations
		Updating the composite service tests
	Adding databases to the Docker Compose landscape
		The Docker Compose configuration
		Database connection configuration
		The MongoDB and MySQL CLI tools
	Manual tests of the new APIs and the persistence layer
	Updating the automated tests of the microservice landscape
	Summary
	Questions
Chapter 7: Developing Reactive Microservices
	Technical requirements
	Choosing between non-blocking synchronous APIs and event-driven asynchronous services
	Developing non-blocking synchronous REST APIs
		An introduction to Project Reactor
		Non-blocking persistence using Spring Data for MongoDB
			Changes in the test code
		Non-blocking REST APIs in the core services
			Changes in the APIs
			Changes in the service implementations
			Changes in the test code
			Dealing with blocking code
		Non-blocking REST APIs in the composite services
			Changes in the API
			Changes in the service implementation
			Changes in the integration layer
			Changes in the test code
	Developing event-driven asynchronous services
		Handling challenges with messaging
			Consumer groups
			Retries and dead-letter queues
			Guaranteed order and partitions
		Defining topics and events
		Changes in the Gradle build files
		Consuming events in the core services
			Declaring message processors
			Changes in the service implementations
			Adding configuration for consuming events
			Changes in the test code
		Publishing events in the composite service
			Publishing events in the integration layer
			Adding configuration for publishing events
			Changes in the test code
	Running manual tests of the reactive microservice landscape
		Saving events
		Adding a health API
		Using RabbitMQ without using partitions
		Using RabbitMQ with partitions
		Using Kafka with two partitions per topic
	Running automated tests of the reactive microservice landscape
	Summary
	Questions
Part II - Leveraging Spring Cloud to Manage Microservices
Chapter 8: Introduction to Spring Cloud
	Technical requirements
	The evolution of Spring Cloud
	Using Netflix Eureka for service discovery
	Using Spring Cloud Gateway as an edge server
	Using Spring Cloud Config for centralized configuration
	Using Resilience4j for improved resilience
		Sample usage of the circuit breaker in Resilience4j
	Using Spring Cloud Sleuth and Zipkin for distributed tracing
	Summary
	Questions
Chapter 9: Adding Service Discovery Using Netflix Eureka
	Technical requirements
	Introducing service discovery
		The problem with DNS-based service discovery
		Challenges with service discovery
		Service discovery with Netflix Eureka in Spring Cloud
	Setting up a Netflix Eureka server
	Connecting microservices to a Netflix Eureka server
	Setting up the configuration for development use
		Eureka configuration parameters
		Configuring the Eureka server
		Configuring clients to the Eureka server
	Trying out the discovery service
		Scaling up
		Scaling down
		Disruptive tests with the Eureka server
			Stopping the Eureka server
			Stopping a review instance
			Starting up an extra instance of the product service
	Starting up the Eureka server again
	Summary
	Questions
Chapter 10: Using Spring Cloud Gateway to Hide Microservices behind an Edge Server
	Technical requirements
	Adding an edge server to our system landscape
	Setting up Spring Cloud Gateway
		Adding a composite health check
		Configuring a Spring Cloud Gateway
			Routing rules
	Trying out the edge server
		Examining what is exposed outside the Docker engine
		Trying out the routing rules
			Calling the product composite API through the edge server
			Calling the Swagger UI through the edge server
			Calling Eureka through the edge server
			Routing based on the host header
	Summary
	Questions
Chapter 11: Securing Access to APIs
	Technical requirements
	Introduction to OAuth 2.0 and OpenID Connect
		Introducing OAuth 2.0
		Introducing OpenID Connect
	Securing the system landscape
	Protecting external communication with HTTPS
		Replacing a self-signed certificate at runtime
	Securing access to the discovery server
		Changes in the Eureka server
		Changes in Eureka clients
	Adding a local authorization server
	Protecting APIs using OAuth 2.0 and OpenID Connect
		Changes in both the edge server and the product-composite service
		Changes in the product-composite service only
			Changes to allow Swagger UI to acquire access tokens
		Changes in the test script
	Testing with the local authorization server
		Building and running the automated tests
		Testing the protected discovery server
		Acquiring access tokens
			Acquiring access tokens using the client credentials grant flow
			Acquiring access tokens using the authorization code grant flow
		Calling protected APIs using access tokens
		Testing Swagger UI with OAuth 2.0
	Testing with an external OpenID Connect provider
		Setting up and configuring an account in Auth0
		Applying the required changes to use Auth0 as an OpenID provider
			Changing the configuration in the OAuth resource servers
			Changing the test script so it acquires access tokens from Auth0
		Running the test script with Auth0 as the OpenID Connect provider
		Acquiring access tokens using the client credentials grant flow
		Acquiring access tokens using the authorization code grant flow
		Calling protected APIs using the Auth0 access tokens
		Getting extra information about the user
	Summary
	Questions
Chapter 12: Centralized Configuration
	Technical requirements
	Introduction to the Spring Cloud Configuration server
		Selecting the storage type of the configuration repository
		Deciding on the initial client connection
		Securing the configuration
			Securing the configuration in transit
			Securing the configuration at rest
		Introducing the config server API
	Setting up a config server
		Setting up a routing rule in the edge server
		Configuring the config server for use with Docker
	Configuring clients of a config server
		Configuring connection information
	Structuring the configuration repository
	Trying out the Spring Cloud Configuration server
		Building and running automated tests
		Getting the configuration using the config server API
		Encrypting and decrypting sensitive information
	Summary
	Questions
Chapter 13: Improving Resilience Using Resilience4j
	Technical requirements
	Introducing the Resilience4j resilience mechanisms
		Introducing the circuit breaker
		Introducing the time limiter
		Introducing the retry mechanism
	Adding the resilience mechanisms to the source code
		Adding programmable delays and random errors
			Changes in the API definitions
			Changes in the product-composite microservice
			Changes in the product microservice
		Adding a circuit breaker and a time limiter
			Adding dependencies to the build file
			Adding annotations in the source code
			Adding fail-fast fallback logic
			Adding configuration
		Adding a retry mechanism
			Adding the retry annotation
			Adding configuration
		Adding automated tests
	Trying out the circuit breaker and retry mechanism
		Building and running the automated tests
		Verifying that the circuit is closed under normal operations
		Forcing the circuit breaker to open when things go wrong
		Closing the circuit breaker again
		Trying out retries caused by random errors
	Summary
	Questions
Chapter 14: Understanding Distributed Tracing
	Technical requirements
	Introducing distributed tracing with Spring Cloud Sleuth and Zipkin
	Adding distributed tracing to the source code
		Adding dependencies to build files
		Adding configuration for Spring Cloud Sleuth and Zipkin
		Adding Zipkin to the Docker Compose files
	Trying out distributed tracing
		Starting up the system landscape with RabbitMQ as the queue manager
		Sending a successful API request
		Sending an unsuccessful API request
		Sending an API request that triggers asynchronous processing
		Monitoring trace information passed to Zipkin in RabbitMQ
		Using Kafka as a message broker
	Summary
	Questions
Part III - Developing Lightweight Microservices Using Kubernetes
Chapter 15: Introduction to Kubernetes
	Technical requirements
	Introducing Kubernetes concepts
	Introducing Kubernetes API objects
	Introducing Kubernetes runtime components
	Creating a Kubernetes cluster using Minikube
		Working with Minikube profiles
		Working with the Kubernetes CLI, kubectl
		Working with kubectl contexts
		Creating a Kubernetes cluster
	Trying out a sample deployment
	Managing a local Kubernetes cluster
		Hibernating and resuming a Kubernetes cluster
		Terminating a Kubernetes cluster
	Summary
	Questions
Chapter 16: Deploying Our Microservices to Kubernetes
	Technical requirements
	Replacing Netflix Eureka with Kubernetes Services
	Introducing how Kubernetes will be used
	Using Spring Boot's support for graceful shutdown and probes for liveness and readiness
	Introducing Helm
		Running Helm commands
		Looking into a Helm chart
		Helm templates and values
		The common library chart
			The ConfigMap template
			The Secrets template
			The Service template
			The Deployment template
		The components charts
		The environment charts
	Deploying to Kubernetes for development and test
		Building Docker images
		Resolving Helm chart dependencies
		Deploying to Kubernetes
		Changes in the test script for use with Kubernetes
		Testing the deployment
			Testing Spring Boot's support for graceful shutdown and probes for liveness and readiness
	Deploying to Kubernetes for staging and production
		Changes in the source code
		Deploying to Kubernetes
		Cleaning up
	Summary
	Questions
Chapter 17: Implementing Kubernetes Features to Simplify the System Landscape
	Technical requirements
	Replacing the Spring Cloud Config Server
		Changes required to replace the Spring Cloud Config Server
	Replacing the Spring Cloud Gateway
		Changes required to replace the Spring Cloud Gateway
	Automating certificate provisioning
	Testing with Kubernetes ConfigMaps, Secrets, Ingress, and the cert-manager
		Rotating certificates
		Deploying to Kubernetes for staging and production
	Verifying that the microservices work without Kubernetes
		Changes in the Docker Compose files
		Testing with Docker Compose
	Summary
	Questions
Chapter 18: Using a Service Mesh to Improve Observability and Management
	Technical requirements
	Introducing service meshes using Istio
		Introducing Istio
		Injecting Istio proxies into microservices
		Introducing Istio API objects
	Simplifying the microservice landscape
		Replacing Kubernetes Ingress controller with Istio ingress gateway
		Replacing the Zipkin server with Istio's Jaeger component
	Deploying Istio in a Kubernetes cluster
		Setting up access to Istio services
	Creating the service mesh
		Source code changes
			Content in the _istio_base.yaml template
			Content in the _istio_dr_mutual_tls.yaml template
		Running commands to create the service mesh
	Observing the service mesh
	Securing a service mesh
		Protecting external endpoints with HTTPS and certificates
		Authenticating external requests using OAuth 2.0/OIDC access tokens
		Protecting internal communication using mutual authentication (mTLS)
	Ensuring that a service mesh is resilient
		Testing resilience by injecting faults
		Testing resilience by injecting delays
	Performing zero-downtime updates
		Source code changes
			Virtual services and destination rules
			Deployments and services
			Tying things together in the prod-env Helm chart
		Deploying v1 and v2 versions of the microservices with routing to the v1 version
		Verifying that all traffic initially goes to the v1 version of the microservices
		Running canary tests
		Running blue/green deployment
			A short introduction to the kubectl patch command
			Performing the blue/green deployment
	Running tests with Docker Compose
	Summary
	Questions
Chapter 19: Centralized Logging with the EFK Stack
	Technical requirements
	Introducing Fluentd
		Overview of Fluentd
		Configuring Fluentd
	Deploying the EFK stack on Kubernetes
		Building and deploying our microservices
		Deploying Elasticsearch and Kibana
			A walkthrough of the manifest files
			Running the deploy commands
		Deploying Fluentd
			A walkthrough of the manifest files
			Running the deploy commands
	Trying out the EFK stack
		Initializing Kibana
		Analyzing the log records
		Discovering the log records from microservices
		Performing root cause analyses
	Summary
	Questions
Chapter 20: Monitoring Microservices
	Technical requirements
	Introduction to performance monitoring using Prometheus and Grafana
	Changes in source code for collecting application metrics
	Building and deploying the microservices
	Monitoring microservices using Grafana dashboards
		Installing a local mail server for tests
		Starting up the load test
		Using Kiali's built-in dashboards
		Importing existing Grafana dashboards
		Developing your own Grafana dashboards
			Examining Prometheus metrics
			Creating the dashboard
			Trying out the new dashboard
		Exporting and importing Grafana dashboards
	Setting up alarms in Grafana
		Setting up a mail-based notification channel
		Setting up an alarm on the circuit breaker
		Trying out the circuit breaker alarm
	Summary
	Questions
Chapter 21: Installation Instructions for macOS
	Technical requirements
	Installing tools
		Installing Homebrew
		Using Homebrew to install tools
		Install tools without Homebrew
		Post-installation actions
		Verifying the installations
	Accessing the source code
		Using an IDE
		The structure of the code
Chapter 22: Installation Instructions for Microsoft Windows with WSL 2 and Ubuntu
	Technical requirements
	Installing tools
		Installing tools on Windows
			Installing WSL 2 – Windows Subsystem for Linux v2
			Installing Ubuntu 20.04 on WSL 2
			Installing Windows Terminal
			Installing Docker Desktop for Windows
			Installing Visual Studio Code and its extension for Remote WSL
		Installing tools on the Linux server in WSL 2
			Installing tools using apt install
			Installing the Spring Boot CLI using sdk install
			Installing the remaining tools using curl and install
			Verifying the installations
	Accessing the source code
		The structure of the code
Chapter 23: Native Compiled Java Microservices
	Technical requirements
	When to native compile Java source code
	Introducing the GraalVM project
	Introducing the Spring Native project
	Compiling source code to a native image
		Changes in the source code
			Updates to the Gradle build files
			Providing native hints as annotations
			When underlying frameworks and libraries don't support native compilation
		Installing the tracing agent
			Installing the tracing agent on macOS
			Installing the tracing agent on Ubuntu under WSL 2 in Microsoft Windows
		Running the tracing agent
		Creating the native images
	Testing with Docker Compose
	Testing with Kubernetes
	Summary
	Questions
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