Building Cloud Apps with Microsoft Azure
Best practices for DevOps, data storage, high availability, and more
Book Details
| Authors | Scott Guthrie, Mark Simms, Tom Dykstra, Rick Anderson, Mike Wasson |
| Publisher | Microsoft Press |
| Published | 2014 |
| Edition | 1st |
| Paperback | 201 pages |
| Language | English |
| ISBN-13 | 9780735695658 |
| ISBN-10 | 0735695652 |
| License | Open Access |
Book Description
This book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices.
Developers who are curious about developing for the cloud, are considering a move to the cloud, or are new to cloud development will find here a concise overview of the most important concepts and practices they need to know. The concepts are illustrated with concrete examples, and each chapter includes links to other resources that provide more in-depth information. The examples and the links to additional resources are for Microsoft frameworks and services, but the principles illustrated apply to other web development frameworks and cloud environments as well.
Developers who are already developing for the cloud may find ideas here that will help make them more successful. Each chapter in the series can be read independently, so you can pick and choose topics that you're interested in.
Anyone who watched Scott Guthrie's "Building Real World Cloud Apps with Windows Azure" presentation and wants more details and updated information will find that here.
This book expects that you have experience developing web applications by using Visual Studio and ASP.NET. Familiarity with C# would be helpful in places.
This book is published as open-access, which means it is freely available to read, download, and share without restrictions.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
Download and Read Links
Share this Book
[localhost]# find . -name "*Similar_Books*"
Fundamentals of Azure, 2nd Edition
Microsoft Azure is Microsoft's cloud computing platform, providing a wide variety of services you can use without purchasing and provisioning your own hardware. Azure enables the rapid development of solutions and provides the resources to accomplish tasks that may not be feasible in an on-premises environment. Azure's compute, storage, network, an
Building Real-World Cloud Apps with Windows Azure
This book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. Developers who are curious about developing for the cloud, considering a move to the cloud, or are new to cloud development will find here a concise overview of
Application Delivery and Load Balancing in Microsoft Azure
With more and more companies moving on-premises applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical book describes Microsoft Azure's load balancing options and explains how NGINX can contribute to a c
Azure Web Apps for Developers
Azure Web Apps is a fully managed platform that you can use to build mission-critical web applications that are highly available, secure, and scalable to global proportions. Combined with first-class tooling from Visual Studio and the Microsoft Azure Tools, the Azure Web Apps service is the fastest way to get your web application to production. Azu
Azure Automation
This ebook introduces a fairly new feature of Microsoft Azure called Azure Automation. Using a highly scalable workflow execution environment, Azure Automation allows you to orchestrate frequent deployment and life cycle management tasks using runbooks based on Windows PowerShell Workflow functionality. These runbooks are stored in and backed up by
Azure Machine Learning
This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and princ