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

About Azure for Architects, Third Edition

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.

About the Authors

Ritesh Modi is a former Microsoft senior technology evangelist. He has been recognized as a Microsoft Regional Director for his contributions to Microsoft products, services, and communities. He is a cloud architect, a published author, a speaker, and a leader who is popular for his contributions to datacenters, Azure, Kubernetes, blockchain, cognitive services, DevOps, artificial intelligence, and automation. He is the author of eight books.

Ritesh has spoken at numerous national and international conferences and is a published author for MSDN magazine. He has more than a decade of experience in building and deploying enterprise solutions for customers, and has more than 25 technical certifications. His hobbies are writing books, playing with his daughter, watching movies, and learning new technologies. He currently lives in Hyderabad, India. You can follow him on Twitter at @automationnext.

Jack Lee is a senior Azure certified consultant and an Azure practice lead with a passion for software development, cloud, and DevOps innovations. Jack has been recognized as a Microsoft MVP for his contributions to the tech community. He has presented at various user groups and conferences, including the Global Azure Bootcamp at Microsoft Canada. Jack is an experienced mentor and judge at hackathons and is also the president of a user group that focuses on Azure, DevOps, and software development. He is the co-author of Cloud Analytics with Microsoft Azure, published by Packt Publishing. You can follow Jack on Twitter at @jlee_consulting.

Rithin Skaria is an open source evangelist with over 7 years of experience of managing open source workloads in Azure, AWS, and OpenStack. He is currently working for Microsoft and is a part of several open source community activities conducted within Microsoft. He is a Microsoft Certified Trainer, Linux Foundation Certified Engineer and Administrator, Kubernetes Application Developer and Administrator, and also a Certified OpenStack Administrator. When it comes to Azure, he has four certifications (solution architecture, Azure administration, DevOps, and security), and he is also certified in Office 365 administration. He has played a vital role in several open source deployments, and the administration and migration of these workloads to the cloud. He also co-authored Linux Administration on Azure, published by Packt Publishing. Connect with him on LinkedIn at @rithin-skaria.

About the Reviewers

Melony Qin is a woman in STEM. Currently working as a Program Manager at Microsoft, she's a member of the Association for Computing Machinery (ACM) and Project Management Institute (PMI). She has contributed to serverless computing, big data processing, DevOps, artificial intelligence, machine learning, and IoT with Microsoft Azure. She holds all the Azure certifications (both the Apps and Infrastructure and the Data and AI tracks) as well as Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD), and is mainly working on her contributions to open-source software (OSS), DevOps, Kubernetes, serverless, big data analytics, and IoT on Microsoft Azure in the community. She's the author and co-author of two books, Microsoft Azure Infrastructure and The Kubernetes Workshop, both published by Packt Publishing. She can be reached out via Twitter at @MelonyQ.

Sanjeev Kumar is a Cloud Solution Architect for SAP on Azure at Microsoft. He is currently based in Zurich, Switzerland. He has worked with SAP technology for over 19 years. He has been working with public cloud technologies for about 8 years, the last 2 years of which have been focused on Microsoft Azure. 

In his SAP on Azure cloud architecture advisory role, Sanjeev Kumar has worked with a number of the world's top financial services and manufacturing companies. His focus areas include cloud architecture and design to help customers migrate their SAP systems to Azure and adopt Azure best practices for SAP deployments, especially by implementing Infrastructure as Code and DevOps. He has also worked in the areas of containerization and microservices using Docker and Azure Kubernetes Service, streaming data processing using Apache Kafka, and full stack application development using Node.js. He has worked on various product development initiatives spanning IaaS, PaaS, and SaaS. He is also interested in the emerging topics of artificial intelligence, machine learning, and large-scale data processing and analytics. He writes on topics related to SAP on Azure, DevOps, and Infrastructure as Code on LinkedIn, where you can find him at @sanjeevkumarprofile.

Learning Objectives

By the end of this book, you will be able to:

  • Understand the components of the Azure cloud platform
  • Use cloud design patterns
  • Use enterprise security guidelines for your Azure deployment
  • Design and implement serverless and integration solutions
  • Build efficient data solutions on Azure
  • Understand container services on Azure

Audience

If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively.

Approach

This book covers each topic with step-by-step explanations of essential concepts, practical examples, and self-assessment questions. By providing a balance of theory and practical experience of working through engaging projects, this book will help you understand how architects work in the real world.

Hardware Requirements

For the optimal experience, we recommend the following configuration:

  • Minimum 4 GB RAM
  • Minimum 32 GB of free memory

Software Requirements

  • Visual Studio 2019
  • Docker for Windows latest version
  • AZ PowerShell module 1.7 and above
  • Azure CLI latest version
  • Azure subscription
  • Windows Server 2016/2019
  • Window 10 latest version - 64 bit

Conventions

Code words in the text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, and user inputs are shown as follows:

The DSC configuration still isn't known to Azure Automation. It's available on some local machines. It should be uploaded to Azure Automation DSC Configurations. Azure Automation provides the Import-AzureRMAutomationDscConfiguration cmdlet to import the configuration to Azure Automation:

Import-AzureRmAutomationDscConfiguration -SourcePath "C:\DSC\AA\DSCfiles\ConfigureSiteOnIIS.ps1" -ResourceGroupName "omsauto" -AutomationAccountName "datacenterautomation" -Published -Verbose

Download Resources

The code bundle for this book is also hosted on GitHub at: https://github.com/PacktPublishing/Azure-for-Architects-Third-Edition.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing. Check them out!