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Learn Microsoft Azure Step By Step In 7 Days For .Net Developers at Meripustak

Learn Microsoft Azure Step By Step In 7 Days For .Net Developers by Saillesh Pawar, BPB Publications

Books from same Author: Saillesh Pawar

Books from same Publisher: BPB Publications

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  • General Information  
    Author(s)Saillesh Pawar
    PublisherBPB Publications
    Edition1
    ISBN9789388511384
    Pages146
    BindingPaperback
    LanguageEnglish
    Publish YearJanuary 2019

    Description

    BPB Publications Learn Microsoft Azure Step By Step In 7 Days For .Net Developers by Saillesh Pawar

    The mainstream of the cloud-native architecture as an enterprise discipline is well underway. According to the Forbes report in January 2018 83% of enterprise workloads will be in the cloud by 2020 41% of enterprise workloads will run on public cloud platforms while another 22% will be running on hybrid cloud platforms. Customers are embarking on enterprise digital transformation journeys. Adopting cloud cloud-native architectures and microservices is an important aspect of the journey. This book starts with a brief introduction to the basics of cloud-native applications and cloud-native application patterns. It covers cloud-native options available in Azure. The objective of the book is to provide practical guidelines to an architect / designer / consultant / developer who is part of the cloud application definition team. The book br> articulates a methodology that the implementation team needs to follow in a systematic manner and adapt them to fulfill the requirements for enabling the cloud-native application. It emphasizes on the interpersonal skills and techniques for organizing and directing the cloud-native definition leadership buy-in and leading the transition from planning to implementation. It also highlights steps to be followed and the patterns for developing cloud-native applications cloud-native options available in Azure developing bot and microservices based on Azure. It also covers how to develop simple IoT applications machine learning-based applications and the server less architecture using Azure with a practical and pragmatic approach.



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