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Cloud-Native Applications in Java

Cloud-Native Applications in Java

By : Olsson, Mahajan, Kumar Gupta, S
4.2 (51)
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Cloud-Native Applications in Java

Cloud-Native Applications in Java

4.2 (51)
By: Olsson, Mahajan, Kumar Gupta, S

Overview of this book

Businesses today are evolving so rapidly that they are resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This means developers now are faced with the challenge of building build applications that are native to the cloud. For this, they need to be aware of the environment, tools, and resources they’re coding against. If you’re a Java developer who wants to build secure, resilient, robust, and scalable applications that are targeted for cloud-based deployment, this is the book for you. It will be your one stop guide to building cloud-native applications in Java Spring that are hosted in On-prem or cloud providers - AWS and Azure The book begins by explaining the driving factors for cloud adoption and shows you how cloud deployment is different from regular application deployment on a standard data centre. You will learn about design patterns specific to applications running in the cloud and find out how you can build a microservice in Java Spring using REST APIs You will then take a deep dive into the lifecycle of building, testing, and deploying applications with maximum automation to reduce the deployment cycle time. Gradually, you will move on to configuring the AWS and Azure platforms and working with their APIs to deploy your application. Finally, you’ll take a look at API design concerns and their best practices. You’ll also learn how to migrate an existing monolithic application into distributed cloud native applications. By the end, you will understand how to build and monitor a scalable, resilient, and robust cloud native application that is always available and fault tolerant.
Table of Contents (14 chapters)
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Microservice adoption

Microservice adoption within an enterprise is driven by a common theme of digital transformation, whether they are looking to re-architect the existing monolithic applications in the system of innovations to increase business agility and reduce technical debt, or to develop greenfield applications that allow them to rapidly innovate and experiment with different business models.

Monolithic transformation

Enterprises have been running channel applications built on JEE principles running on clusters of application servers. These applications have accumulated a lot of technical debt over the years and have become a major issue—large, unwieldy, and resistant to constant change.

With the increase in competition in the business environment and the proliferation of the channels, businesses are looking for faster innovation and to provide seamless customer experience. On the other hand, they do not want to throw away the existing investment in the existing applications.

In this scenario, enterprises are undertaking multiple programs to re-factor and re-architect the existing applications into modern, distributed, microservice-based models that provide the currency of rapid iteration and are future-proof.

Enterprises are attacking this problem in a two-prong manner:

  1. Setting the base platform that provides the core ecosystem as a set of services to deploy and run the microservices. These services include Configuration Management, Service Discovery, Elastic Compute, Container Management, Security, Management and Monitoring, DevOps pipeline, and more. Enterprises typically weigh in between using the public cloud and setting up a private cloud. The choice of cloud platform depends on the industry in question and the maturity of the enterprise strategy.
  2. The second approach is to chip at the monolithic application, one functional piece at a time, and migrate the core business logic to the microservice model. The GUI part is separately migrated to an SPA model using frameworks such as AngularJS and ReactJS. For example, a lot of e-commerce enterprises have moved their catalogue and search services to elastic cloud providers. Only when the customer clicks the checkout do they bring the customer to the in-house data center.

Once the enterprise has set up the ecosystem with respect to platform services, the ability to add more microservice-based functionality becomes easy, providing the required impetus in terms of business agility and innovation.

We will cover digital transformation in more detail in Chapter 12, Digital Transformation.

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