About the Author
Ajay MahajanAjay Mahajan is a Distinguished Member of Technical Staff (DMTS) at Wipro Technologies, and currently is in role of Chief Technologist of Retail vertical. In his current role, he helps customers adopt cloud-native and digital architecture for next-generation retail applications. He worked with retail and banking clients in Europe and USA on large-scale mission-critical systems. He has seen the evolution of enterprise Java from the Netscape Application Server to servlets/JSP, JEE, Spring, and now the cloud and microservices during the course of 19 years of working on Java platform.
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Key Features
Take advantage of the simplicity of Spring to build a full-fledged applicationLet your applications run faster while generating smaller cloud service billsIntegrate your application with various tools such as Docker and ElasticSearch and use specific tools in Azure and AWS
Book Description
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
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介紹瞭雲計算的幾個層級。IaaS層實現硬件資源虛擬化,資源超分提高利用率,2塊CPU當3塊分配。PaaS層實現服務按需啓動、資源按需分配,再提高一層資源使用率。容器技術實現可編程環境、資源隔離、不可變部署物。開發層麵要實現服務發現、集中配置、服務網關、日誌收集、指標收集。運維層要實現自動化構建部署。這些就是雲環境的要素。
评分介紹瞭雲計算的幾個層級。IaaS層實現硬件資源虛擬化,資源超分提高利用率,2塊CPU當3塊分配。PaaS層實現服務按需啓動、資源按需分配,再提高一層資源使用率。容器技術實現可編程環境、資源隔離、不可變部署物。開發層麵要實現服務發現、集中配置、服務網關、日誌收集、指標收集。運維層要實現自動化構建部署。這些就是雲環境的要素。
评分介紹瞭雲計算的幾個層級。IaaS層實現硬件資源虛擬化,資源超分提高利用率,2塊CPU當3塊分配。PaaS層實現服務按需啓動、資源按需分配,再提高一層資源使用率。容器技術實現可編程環境、資源隔離、不可變部署物。開發層麵要實現服務發現、集中配置、服務網關、日誌收集、指標收集。運維層要實現自動化構建部署。這些就是雲環境的要素。
评分介紹瞭雲計算的幾個層級。IaaS層實現硬件資源虛擬化,資源超分提高利用率,2塊CPU當3塊分配。PaaS層實現服務按需啓動、資源按需分配,再提高一層資源使用率。容器技術實現可編程環境、資源隔離、不可變部署物。開發層麵要實現服務發現、集中配置、服務網關、日誌收集、指標收集。運維層要實現自動化構建部署。這些就是雲環境的要素。
评分介紹瞭雲計算的幾個層級。IaaS層實現硬件資源虛擬化,資源超分提高利用率,2塊CPU當3塊分配。PaaS層實現服務按需啓動、資源按需分配,再提高一層資源使用率。容器技術實現可編程環境、資源隔離、不可變部署物。開發層麵要實現服務發現、集中配置、服務網關、日誌收集、指標收集。運維層要實現自動化構建部署。這些就是雲環境的要素。
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