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Another way is to offload the heavy lifting of the underlying services to the cloud platform provider.
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The data from customers is collated and aggregated to build newer models for product enhancements and new features. The data is collated and analyzed for patterns such as predictive maintenance, usage models, and external factors. The products are enhanced with IoT to enable them to emit data about the products' performance. Enterprises are also developing digital services based on their product lines.The models are iterated rapidly to identify and bubble up the customer's needs, their preferences, what works, and what does not work. These new age business models are being designed and developed as a system of innovation on the enterprise end. 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. A lot of enterprises are adopting greenfield design and development of microservices in the area of digital initiatives.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. The first wave of cloud adoption was about cost savings and business agility (especially around infrastructure provisioning and cheap storage).
#CLOUD NATIVE JAVA PSF HOW TO#
You’ll also learn how to migrate an existing monolithic application into distributed cloud native applications.īy 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. Finally, you’ll take a look at API design concerns and their best practices. Gradually, you will move on to configuring the AWS and Azure platforms and working with their APIs to deploy your application. 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. 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 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.
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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
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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. For this, they need to be aware of the environment, tools, and resources they’re coding against. This means developers now are faced with the challenge of building build applications that are native to the cloud. 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.