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Spring 5.0 Microservices
Spring 5.0 Microservices

Spring 5.0 Microservices: Scalable systems with Reactive Streams and Spring Boot , Second Edition

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Spring 5.0 Microservices

Related Architecture Styles and Use Cases

Microservices are on top of the hype at this point. At the same time, there are noises around certain other architecture styles, for instance, serverless architecture. Which one is good? Are they competing against each other? What are the appropriate scenarios and the best ways to leverage microservices? These are the obvious questions raised by many developers.

In this chapter, we will analyze various other architecture styles and establish the similarities and relationships between microservices and other buzz words such as Service Oriented Architecture (SOA), Twelve-Factor Apps, serverless computing, Lambda architectures, DevOps, Cloud, Containers, and Reactive Microservices. Twelve-Factor Apps defines a set of software engineering principles to develop applications targeting cloud. We will...

Service-Oriented Architecture (SOA)

SOA and microservices follow similar concepts. In the Chapter 1, Demystifying Microservices, we saw that microservices are evolved from SOA and many service characteristics are common in both approaches.

However, are they the same or are they different?

Since microservices are evolved from SOA, many characteristics of microservices are similar to SOA. Let's first examine the definition of SOA.

The Open Group definition of SOA (http://www.opengroup.org/soa/source-book/soa/p1.htm) is as follows:

SOA is an architectural style that supports service-orientation. Service-orientation is a way of thinking in terms of services and service-based development and the outcomes of services. 

A service:

  • Is a logical representation of a repeatable business activity that has a specified outcome (e.g., check customer credit, provide weather...

Twelve-Factor Apps

Cloud computing is one of the most rapidly evolving technologies. It promises many benefits, such as cost advantage, speed, agility, flexibility, and elasticity. There are many cloud providers offering different services. They are lowering the cost models to make it more attractive to the enterprises. Different cloud providers, such as AWS, Microsoft, Rackspace, IBM, Google, and so on, use different tools, technologies, and services. On the other hand, enterprises are aware of this evolving battlefield and, therefore, they are looking for options for de-risking from lockdown to a single vendor.

Many organizations do a lift and shift of their applications to cloud. In such cases, the applications may not realize all benefits promised by the cloud platforms. Some applications need to undergo an overhaul, whereas some may need minor tweaking before moving to the...

Serverless computing

Serverless computing architecture or Functions as a Service (FaaS) has gained quite a bit of popularity these days. In serverless computing, developers need not worry about application servers, virtual machines, Containers, infrastructure, scalability, and other quality of services. Instead, developers write functions and drop those functions into an already running computing infrastructure. Serverless computing improves faster software deliveries as it eliminates the provisioning and management part of the infrastructure required by microservices. Sometimes, this is even referred to as NoOps.

FaaS platforms support multiple language runtimes, such as Java, Python, Go, and so on. There are many serverless computing platforms and frameworks available. Moreover, this space is still evolving. AWS Lambda, IBM OpenWhisk, Azure Functions, Google Cloud Functions...

Lambda architecture 

There are new styles of microservices use cases in the context of big data, cognitive computing, bots, and IoT:

The preceding diagram shows a simplified Lambda architecture commonly used in the context of big data, cognitive, and IoTs. As you can see in the diagram, microservices play a critical role in the architecture. The batch layer process data, and store typically in a Hadoop Distributed File System (HDFS) file system. Microservices are written on top of this batch layer process data and build serving layer. Since microservices are independent, when they encounter new demands, it is easy to add those implementations as microservices.

Speed-layer microservices are primarily reactive microservices for stream processing. These microservices accept a stream of data, apply logic, and then respond with another set of events. Similarly, microservices...

DevOps, Cloud, and Containers

The trios Cloud (more specifically, Containers), Microservices and DevOps, are targeting a set of common objectives--speed of delivery, business value, and cost benefits. All three can stay evolved independently, but they complement each other to achieve the desired common goals. Organizations embarking on any of these naturally tend to consider the others as they are closely linked together:

Many organizations start their journey with DevOps as an organizational practice to achieve high velocity release cycles, but eventually move to microservices architecture and cloud.  However, it is not mandatory to have microservices and Cloud to support DevOps. However, automating release cycles of large monolithic applications does not make much sense, and, in many cases, it would be impossible to achieve. In such scenarios, microservices architecture...

Reactive microservices

The reactive programming paradigm is an effective way to build scalable, fault-tolerant applications. The reactive manifesto defines basic philosophy of reactive programming.

Read more about the reactive manifesto here:
http://www.reactivemanifesto.org

By combining the reactive programming principles together with the microservices architecture, developers can build low latency high throughput scalable applications.

Microservices are typically designed around business capabilities. Ideally, well-designed microservices will exhibit minimal dependencies between microservices. However, in reality, when microservices are expected to deliver same capabilities delivered by monolithic applications, many microservices have to work in collaboration. Dividing services based on business capabilities will not solve all issues. Isolation and communication...

Service-Oriented Architecture (SOA)


SOA and microservices follow similar concepts. In the Chapter 1, Demystifying Microservices, we saw that microservices are evolved from SOA and many service characteristics are common in both approaches.

However, are they the same or are they different?

Since microservices are evolved from SOA, many characteristics of microservices are similar to SOA. Let's first examine the definition of SOA.

Note

The Open Group definition of SOA (http://www.opengroup.org/soa/source-book/soa/p1.htm) is as follows:

SOA is an architectural style that supports service-orientation. Service-orientation is a way of thinking in terms of services and service-based development and the outcomes of services.

A service:

  • Is a logical representation of a repeatable business activity that has a specified outcome (e.g., check customer credit, provide weather data, consolidate drilling reports)
  • Is self-contained
  • May be composed of other services
  • Is a “black box” to consumers of the service...

Twelve-Factor Apps


Cloud computing is one of the most rapidly evolving technologies. It promises many benefits, such as cost advantage, speed, agility, flexibility, and elasticity. There are many cloud providers offering different services. They are lowering the cost models to make it more attractive to the enterprises. Different cloud providers, such as AWS, Microsoft, Rackspace, IBM, Google, and so on, use different tools, technologies, and services. On the other hand, enterprises are aware of this evolving battlefield and, therefore, they are looking for options for de-risking from lockdown to a single vendor.

Many organizations do a lift and shift of their applications to cloud. In such cases, the applications may not realize all benefits promised by the cloud platforms. Some applications need to undergo an overhaul, whereas some may need minor tweaking before moving to the cloud. This is, by and large, depends upon how the application is architectured and developed.

For example, if the...

Serverless computing


Serverless computing architecture or Functions as a Service (FaaS) has gained quite a bit of popularity these days. In serverless computing, developers need not worry about application servers, virtual machines, Containers, infrastructure, scalability, and other quality of services. Instead, developers write functions and drop those functions into an already running computing infrastructure. Serverless computing improves faster software deliveries as it eliminates the provisioning and management part of the infrastructure required by microservices. Sometimes, this is even referred to as NoOps.

FaaS platforms support multiple language runtimes, such as Java, Python, Go, and so on. There are many serverless computing platforms and frameworks available. Moreover, this space is still evolving. AWS Lambda, IBM OpenWhisk, Azure Functions, Google Cloud Functions are some of the popular managed infrastructures for serverless computing. Red Hat Funktion is another serverless computing...

Lambda architecture


There are new styles of microservices use cases in the context of big data, cognitive computing, bots, and IoT:

The preceding diagram shows a simplified Lambda architecture commonly used in the context of big data, cognitive, and IoTs. As you can see in the diagram, microservices play a critical role in the architecture. The batch layer process data, and store typically in a Hadoop Distributed File System (HDFS) file system. Microservices are written on top of this batch layer process data and build serving layer. Since microservices are independent, when they encounter new demands, it is easy to add those implementations as microservices.

Speed-layer microservices are primarily reactive microservices for stream processing. These microservices accept a stream of data, apply logic, and then respond with another set of events. Similarly, microservices are also used for exposing data services on top of the serving layer.

The following are different variations of the preceding...

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Key benefits

  • Update existing applications to integrate reactive streams released as a part of Spring 5.0
  • Learn how to use Docker and Mesos to push the boundaries and build successful microservices
  • Upgrade the capability model to implement scalable microservices

Description

The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework’s core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring that focuses on Reactive Programming, you’ll be able to build modern, internet-scale Java applications in no time. The book starts off with guidelines to implement responsive microservices at scale. Next, you will understand how Spring Boot is used to deploy serverless autonomous services by removing the need to have a heavyweight application server. Later, you’ll learn how to go further by deploying your microservices to Docker and managing them with Mesos. By the end of the book, you will have gained more clarity on the implementation of microservices using Spring Framework and will be able to use them in internet-scale deployments through real-world examples.

Who is this book for?

This book is ideal for Spring developers who want to build cloud-ready, Internet-scale applications, and simple RESTful services to meet modern business demands.

What you will learn

  • Familiarize yourself with the microservices architecture and its benefits
  • Find out how to avoid common challenges and pitfalls while developing microservices
  • Use Spring Boot and Spring Cloud to develop microservices
  • Handle logging and monitoring microservices
  • Leverage Reactive Programming in Spring 5.0 to build modern cloud native applications
  • Manage internet-scale microservices using Docker, Mesos, and Marathon
  • Gain insights into the latest inclusion of Reactive Streams in Spring and make applications more resilient and scalable
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 13, 2017
Length: 414 pages
Edition : 2nd
Language : English
ISBN-13 : 9781787127685
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Length: 414 pages
Edition : 2nd
Language : English
ISBN-13 : 9781787127685
Vendor :
Pivotal
Languages :
Concepts :
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Table of Contents

11 Chapters
Demystifying Microservices Chevron down icon Chevron up icon
Related Architecture Styles and Use Cases Chevron down icon Chevron up icon
Building Microservices with Spring Boot Chevron down icon Chevron up icon
Applying Microservices Concepts Chevron down icon Chevron up icon
Microservices Capability Model Chevron down icon Chevron up icon
Microservices Evolution – A Case Study Chevron down icon Chevron up icon
Scale Microservices with Spring Cloud Components Chevron down icon Chevron up icon
Logging and Monitoring Microservices Chevron down icon Chevron up icon
Containerizing Microservices with Docker Chevron down icon Chevron up icon
Scaling Dockerized Microservices with Mesos and Marathon Chevron down icon Chevron up icon
Microservice Development Life Cycle Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.7
(18 Ratings)
5 star 50%
4 star 11.1%
3 star 11.1%
2 star 11.1%
1 star 16.7%
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Sunil Jan 24, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Book is not upto the expectations, it covers only the overview, but the price is too high. ......
Amazon Verified review Amazon
PG Aug 12, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Highly Recommend. Explains the concepts very well using real life use cases. Covers all the aspects of micro services. Must read!!
Amazon Verified review Amazon
MarvinDíaz Nov 14, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It covers a lot of different topics: spring boot, spring cloud stream, zuul, configs, registry, docker, elk, marathon/messos, aws, etc.
Amazon Verified review Amazon
Ramesh Vankayala Jul 13, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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Filipe Aguilar Santana Oct 25, 2019
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