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Mastering Spring Cloud

By : Piotr Mińkowski

4.3 (3)

Mastering Spring Cloud

4.3 (3)

By: Piotr Mińkowski

Overview of this book

Developing, deploying, and operating cloud applications should be as easy as local applications. This should be the governing principle behind any cloud platform, library, or tool. Spring Cloud–an open-source library–makes it easy to develop JVM applications for the cloud. In this book, you will be introduced to Spring Cloud and will master its features from the application developer's point of view. This book begins by introducing you to microservices for Spring and the available feature set in Spring Cloud. You will learn to configure the Spring Cloud server and run the Eureka server to enable service registration and discovery. Then you will learn about techniques related to load balancing and circuit breaking and utilize all features of the Feign client. The book now delves into advanced topics where you will learn to implement distributed tracing solutions for Spring Cloud and build message-driven microservice architectures. Before running an application on Docker container s, you will master testing and securing techniques with Spring Cloud.

Preface

Preface

Who this book is for

What this book covers

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Free Chapter

Introduction to Microservices

Introduction to Microservices

The blessings of microservices

Building microservices with Spring Framework

Cloud-native development

Learning the microservices architecture

Summary

Spring for Microservices

Spring for Microservices

Introducing Spring Boot

Developing applications with Spring Boot

API Documentation

Spring Boot Actuator features

Developer tools

Integrating application with database

Running the application

Summary

Spring Cloud Overview

Spring Cloud Overview

Beginning with the basics

Discovery and distributed configuration

Distributed tracing with Sleuth

Messaging and integration

Cloud platform support

Other useful libraries

Projects overview

Release trains

Summary

Service Discovery

Service Discovery

Running Eureka on the server side

Enabling Eureka on the client side

Advanced configuration settings

Enabling secure communication between client and server

Eureka API

Replication and high availability

Zones

Summary

Distributed Configuration with Spring Cloud Config

Distributed Configuration with Spring Cloud Config

Introduction to HTTP API resources

Building a server-side application

Building a client-side application

Client-side bootstrap approaches

Repository backend types

Additional features

Reload configuration automatically

Summary

Communication Between Microservices

Communication Between Microservices

Different styles of communication

Synchronous communication with Spring Cloud

Load balancing with Ribbon

Using RestTemplate together with service discovery

Using Feign client

Summary

Advanced Load Balancing and Circuit Breakers

Advanced Load Balancing and Circuit Breakers

Load balancing rules

Customizing the Ribbon client

The circuit breaker pattern with Hystrix

Monitoring latency and fault tolerance

Failures and the circuit breaker pattern with Feign

Summary

Routing and Filtering with API Gateway

Routing and Filtering with API Gateway

Using Spring Cloud Netflix Zuul

Using Spring Cloud Gateway

Summary

Distributed Logging and Tracing

Distributed Logging and Tracing

Best logging practices for microservices

Logging with Spring Boot

Centralizing logs with ELK Stack

Spring Cloud Sleuth

Summary

Additional Configuration and Discovery Features

Additional Configuration and Discovery Features

Using Spring Cloud Consul

Using Spring Cloud Zookeeper

Summary

Message-Driven Microservices

Message-Driven Microservices

Learning about Spring Cloud Stream

Building a messaging system

The publish/subscribe model

Configuration options

The advanced programming model

Using Apache Kafka

Multiple binders

Summary

Securing an API

Securing an API

Enabling HTTPS for Spring Boot

Secure discovery

Secure configuration server

Authorization with OAuth2

Summary

Testing Java Microservices

Testing Java Microservices

Testing strategies

Testing Spring Boot applications

Unit tests

Component tests

Integration tests

Contract tests

Performance testing

Summary

Docker Support

Docker Support

Introducing Docker

Installing Docker

Commonly used Docker commands

Creating a Docker image with microservices

Continuous Delivery

Working with Kubernetes

Summary

Spring Microservices on Cloud Platforms

Spring Microservices on Cloud Platforms

Pivotal Cloud Foundry

The Heroku platform

Summary

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Distributed tracing with Sleuth

Another one of Spring Cloud's essential functionalities is distributed tracing. It is implemented in the Spring Cloud Sleuth library. Its primary purpose is to associate subsequent requests dispatched between different microservices under processing single input request. As in most cases, these are HTTP requests that implement tracing mechanisms based on HTTP headers. The implementation is built over Slf4j and MDC. Slf4j provides facade and abstraction for specific logging frameworks such as logback, log4j, or java.util.logging. MDC or mapped diagnostic context in full, is a solution for distinguishing log output from different sources and enriching them with additional information that could be not available in the actual scope.

Spring Cloud Sleuth adds trace and span IDs to the Slf4J MDC, so that we are able to extract...

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