Book Image

Azure for Architects - Third Edition

By : Ritesh Modi, Jack Lee, Rithin Skaria
Book Image

Azure for Architects - Third Edition

By: Ritesh Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
20
Index

Azure as an intelligent cloud

Azure provides infrastructure and services to ingest billions of transactions using hyper-scale processing. It provides petabytes of storage for data, and it provides a host of interconnected services that can pass data among themselves. With such capabilities in place, data can be processed to generate meaningful knowledge and insights. There are multiple types of insights that can be generated through data analysis, which are as follows:

  • Descriptive: This type of analysis provides details about what is happening or has happened in the past.
  • Predictive: This type of analysis provides details about what is going to happen in the future.
  • Prescriptive: This type of analysis provides details about what should be done to either enhance or prevent current or future events.
  • Cognitive: This type of analysis actually executes actions that are determined by prescriptive analytics in an automated manner.

While deriving insights from data is good, it is equally important to act on them. Azure provides a rich platform to ingest large volumes of data, process and transform it, store and generate insights from it, and display it on real-time dashboards. It is also possible to take action on these insights automatically. These services are available to every customer of Azure and they provide a rich ecosystem in which customers can create solutions. Enterprises are creating numerous applications and services that are completely disrupting industries because of the easy availability of these intelligent services from Azure, which are combined to create meaningful value for end customers. Azure ensures that services that are commercially not viable to implement for small and medium companies can now be readily consumed and deployed in a few minutes.