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Cloud-Native Applications in Java

You're reading from   Cloud-Native Applications in Java Build microservice-based cloud-native applications that dynamically scale

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787124349
Length 406 pages
Edition 1st Edition
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Authors (4):
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Andreas Olsson Andreas Olsson
Author Profile Icon Andreas Olsson
Andreas Olsson
Shyam Sundar S Shyam Sundar S
Author Profile Icon Shyam Sundar S
Shyam Sundar S
Munish Kumar Gupta Munish Kumar Gupta
Author Profile Icon Munish Kumar Gupta
Munish Kumar Gupta
Ajay Mahajan Ajay Mahajan
Author Profile Icon Ajay Mahajan
Ajay Mahajan
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Cloud-Native 2. Writing Your First Cloud-Native Application FREE CHAPTER 3. Designing Your Cloud-Native Application 4. Extending Your Cloud-Native Application 5. Testing Cloud-Native Applications 6. Cloud-Native Application Deployment 7. Cloud-Native Application Runtime 8. Platform Deployment – AWS 9. Platform Deployment – Azure 10. As a Service Integration 11. API Design Best Practices 12. Digital Transformation 13. Other Books You May Enjoy

Why go cloud-native?

Let's have a look at the following points to understand why we need to go cloud-native:

  • The first wave of cloud adoption was about cost savings and business agility (especially around infrastructure provisioning and cheap storage). With increasing cloud adoption, enterprises started discovering Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) services and their utilization in building applications that leverage the elasticity and scalability of the cloud, all the while embracing the inherent failures of the cloud platform.
  • A lot of enterprises are adopting greenfield design and development of microservices in the area of digital initiatives. When dealing with the Internet of Things (IoT), mobile devices, SaaS integration, and online business models, enterprises are working with niche players in the market. These new age business models are being designed and developed as a system of innovation on the enterprise end. The models are iterated rapidly to identify and bubble up the customer's needs, their preferences, what works, and what does not work.
  • Enterprises are also developing digital services based on their product lines. The products are enhanced with IoT to enable them to emit data about the products' performance. The data is collated and analyzed for patterns such as predictive maintenance, usage models, and external factors. The data from customers is collated and aggregated to build newer models for product enhancements and new features. A lot of these new digital services use the cloud-native model.
  • These modern digital solutions use APIs from various providers, such as Google Maps for location, Facebook/Google for authentication, and Facebook/Twitter for social collaborations. Mashing all these APIs with the features and functionality of enterprise business allows them to build a unique proposition for the customer. All of this integration is happening at the API level. The mobile application is not meant for tens of hundreds of users, but tens of millions of users. This means that, as the load increases, the underlying application functionality should be able to scale up to provide a seamless experience to the customer.
  • One way to scale up the resources for the enterprise is to do the heavy lifting in terms of service/environment provisioning as the load goes up or in case of failures. Another way is to offload the heavy lifting of the underlying services to the cloud platform provider. This is the sweet spot where building cloud-native applications that make use of the cloud provider's platform services allows the enterprise to offload the key aspects of scalability and focus on value generation parts.
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