Azure for Architects: Implementing cloud design, DevOps, containers, IoT, and serverless solutions on your public cloud, Edition 2

Name: Azure for Architects: Implementing cloud design, DevOps, containers, IoT, and serverless solutions on your public cloud, Edition 2
Rating: 4.333333492279053 (3 reviews)

Ritesh Modi

Jan 2019 · Packt Publishing Ltd

3 reviews

Ebook

536

Pages

Tools

About this ebook

Create advanced data and integrated solutions using Azure Event Grid, functions, and containersKey Features

Get familiar with the different design patterns available in Microsoft Azure
Develop Azure cloud architecture and a pipeline management system
Get to know the security best practices for your Azure deployment

Book DescriptionOver the years, Azure cloud services have grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements. Azure for Architects – Second Edition starts with an extensive introduction to major designing and architectural aspects available with Azure. These design patterns focus on different aspects of the cloud, such as high availability, security, and scalability. Gradually, we move on to other aspects, such as ARM template modular design and deployments. This is the age of microservices and serverless is the preferred implementation mechanism for them. This book covers the entire serverless stack available in Azure including Azure Event Grid, Azure Functions, and Azure Logic Apps. New and advance features like durable functions are discussed at length. A complete integration solution using these serverless technologies is also part of the book. A complete chapter discusses all possible options related to containers in Azure including Azure Kubernetes services, Azure Container Instances and Registry, and Web App for Containers. Data management and integration is an integral part of this book that discusses options for implementing OLTP solutions using Azure SQL, Big Data solutions using Azure Data factory and Data Lake Storage, eventing solutions using stream analytics, and Event Hubs. This book will provide insights into Azure governance features such as tagging, RBAC, cost management, and policies. By the end of this book, you will be able to develop a full-?edged Azure cloud solution that is Enterprise class and future-ready.What you will learn

Create an end-to-end integration solution using Azure Serverless Stack
Learn Big Data solutions and OLTP–based applications on Azure
Understand DevOps implementations using Azure DevOps
Architect solutions comprised of multiple resources in Azure
Develop modular ARM templates
Develop Governance on Azure using locks, RBAC, policies, tags and cost
Learn ways to build data solutions on Azure
Understand the various options related to containers including Azure Kubernetes Services

Who this book is for

If you are Cloud Architects, DevOps Engineers, or developers who want to learn key architectural aspects of the Azure Cloud platform, then this book is for you. Prior basic knowledge of the Azure Cloud platform is good to have.

Create advanced data and integrated solutions using Azure Event Grid, functions, and containersKey Features Get familiar with the different design patterns available in Microsoft Azure Develop Azure cloud architecture and a pipeline management system Get to know the security best practices for yo...

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Ratings and reviews

3 reviews

Anil Das

October 28, 2020

AAA

1 person found this review helpful

About the author

Ritesh Modi is a technologist with more than 18 years of experience. He holds a master's degree in science in AI/ML from LJMU. He has been recognized as a Microsoft Regional Director for his contributions to building tech communities, products, and services. He has published more than 10 tech books in the past and is a cloud architect, speaker, and leader who is popular for his contributions to data centers, Azure, Kubernetes, blockchain, cognitive services, DevOps, AI, and automation.

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