What this book covers

Chapter 1, Introduction to Microservices, will help you understand the basic premise of the book, microservices, along with the essential concepts and design patterns that go along with it.

Chapter 2, Introduction to Spring Boot, will get you introduced to Spring Boot and the other open source projects that will be used in the first part of the book: Spring WebFlux for developing RESTful APIs, SpringFox for producing OpenAPI- or Swagger-based documentation for the APIs, Spring Data for storing data in SQL and NoSQL databases, Spring Cloud Stream for message-based microservices, and Docker to run the microservices as containers.

Chapter 3, Creating a Set of Cooperating Microservices, will teach you how to create a set of cooperating microservices from scratch. You will use Spring Initializr to create skeleton projects based on Spring Framework 5.1 and Spring Boot 2.1. The idea is to create three core services (that will handle their own resources) and one composite service that uses the three core services to aggregate a composite result. Toward the end of the chapter, you will learn how to add very basic RESTful APIs based on Spring WebFlux. In the next chapter, more and more functionality will be added to these microservices.

Chapter 4, Deploying Our Microservices Using Docker, will teach you how to deploy microservices using Docker. You will learn how to add Dockerfiles and docker-compose files in order to start up the whole microservice landscape with a single command. Then, you will learn how to use multiple Spring profiles to handle configurations with and without Docker. 

Chapter 5, Adding an API Description Using OpenAPI/Swagger, will get you up to speed with documenting the APIs exposed by a microservice using OpenAPI/Swagger. You will use the SpringFox framework to annotate the services to create OpenAPI- or Swagger-based API documentation on the fly. The key highlight will be how the APIs can be tested in a web browser using SpringFox Swagger UI.

Chapter 6, Adding Persistence, will show you how to add persistence to the data of the microservice. You will use Spring Data to set up and access data in a MongoDB document database for two of the core microservices and access data in a MySQL relational database using the Java Persistence API (JPA) for the remaining microservice.

Chapter 7, Developing Reactive Microservices, will teach you why and when a reactive approach is of importance and how to develop end-to-end reactive services. You will learn how to develop and test both non-blocking synchronous RESTful APIs and asynchronous event-driven services. You will also learn how to use the reactive non-blocking driver for MongoDB and use conventional blocking code for MySQL.

Chapter 8, Introduction to Spring Cloud, will introduce you to Spring Cloud and the components of Spring Cloud that will be used in this book.

Chapter 9, Adding Service Discovery Using Netflix Eureka and Ribbon, will show you how to use Netflix Eureka and Ribbon in Spring Cloud to add service discovery capabilities. This will be achieved by adding a Netflix Eureka-based service discovery server to the system landscape. You will then configure the microservices to use Netflix Ribbon to find other microservices. You will understand how microservices are registered automatically and how traffic through Netflix Ribbon is automatically load balanced to new instances when they become available.

Chapter 10, Using Spring Cloud Gateway to Hide Microservices Behind an Edge Server, will guide you through how to hide the microservices behind an edge server using Spring Cloud Gateway and only expose selected APIs to external consumers. You will also learn how to hide the internal complexity of the microservices from external consumers. This will be achieved by adding a Spring Cloud Gateway-based edge server to the system landscape and configuring it to only expose the public APIs. 

Chapter 11, Securing Access to APIs, will explain how to protect exposed APIs using OAuth 2.0 and OpenID Connect. You will learn how to add an OAuth 2.0 authorization server based on Spring Security to the system landscape, and how to configure the edge server and the composite service to require valid access tokens issued by that authorization server. You will learn how to expose the authorization server through the edge server and secure its communication with external consumers using HTTPS. Finally, you will learn how to replace the internal OAuth 2.0 authorization server with an external OpenID Connect provider from Auth0.

Chapter 12, Centralized Configuration, will deal with how to collect the configuration files from all the microservices in one central repository and use the configuration server to distribute the configuration to the microservices at runtime. You will also learn how to add a Spring Cloud Config Server to the system landscape and configure all microservices to use the Spring Config Server to get its configuration. 

Chapter 13, Improving Resilience Using Resilience4j, will explain how to use the capabilities of Resilience4j to prevent, for example, the "chain of failure" anti-pattern. You will learn how to add a retry mechanism and a circuit breaker to the composite service, and how to configure the circuit breaker to fast fail when the circuit is open, and how to utilize a fallback method to create a best-effort response.

Chapter 14, Understanding Distributed Tracing, will show you how to use Zipkin to collect and visualize tracing information. You will also use Spring Cloud Sleuth to add trace IDs to requests so that request chains between cooperating microservices can be visualized.

Chapter 15,  Introduction to Kubernetes, will explain the core concepts of Kubernetes and how to perform a sample deployment. You will also learn how to set up Kubernetes locally for development and testing purposes using Minkube.

Chapter 16, Deploying Our Microservices to Kubernetes, will show how to deploy microservices on Kubernetes. You will also learn how to use Kustomize to configure the deployment in Kubernetes for different runtime environments, such as test and production environments. Finally, you will learn how to replace Netflix Eureka with the built-in support in Kubernetes for service discovery, based on Kubernetes services objects and the kube-proxy runtime component.

Chapter 17, Implementing Kubernetes Features as an Alternative, will explain how to use Kubernetes features as an alternative to the Spring Cloud services introduced in the previous chapters. You will learn why and how to replace Spring Cloud Config Server with Kubernetes secrets and config maps. You will also learn why and how to replace Spring Cloud Gateway with Kubernetes ingress objects and how to add the Cert Manager to automatically provision and rotate certificates from Let's Encrypt's for HTTPS endpoints.

Chapter 18, Using a Service Mesh to Improve Observability and Management, will introduce the concept of a service mesh and will explain how to use Istio to implement a service mesh in runtime using Kubernetes. You will learn how to use a service mesh to further improve the resilience, security, traffic management, and observability of the microservice landscape.

Chapter 19, Centralized Logging with the EFK Stack, will explain how to use Elasticsearch, Fluentd, and Kibana (the EFK stack) to collect, store, and visualize log streams from microservices. You will learn how to deploy the EFK stack in Minikube and how to use it to analyze collected log records and find log output from all microservices involved in the processing of a request that spans several microservices. You will also learn how to perform root cause analysis using the EFK stack.

Chapter 20, Monitoring Microservices, will show you how to monitor the microservices deployed in Kubernetes using Prometheus and Grafana. You will learn how to use both existing dashboards in Granfana to monitor different types of metrics, and you will also learn how to create your own dashboards. Finally, you will learn how to create alerts in Grafana that will be used to send emails with alerts when configured thresholds are passed for selected metrics.

Assessments, is uploaded on the GitHub repository containing the answers to the questions asked in the respective chapters.