Learn Azure in a Month of Lunches, 2nd Ed
Article Index
Learn Azure in a Month of Lunches, 2nd Ed
Parts 2 & 3
Part 4, Conclusion

Part 4 The Cool Stuff

This section aims to give a taste of the many exciting miscellaneous features available in Azure.

The section opens with a chapter on Machine Learning (ML) and Artificial Intelligence (AI). There’s a brief overview of both AI and ML, where ML is an algorithm that learns from experience, typically looking at the probability that a certain pattern is true. There’s a useful overview of Azure Cognitive Services, which covers components such as Vision, Speech, Language, and Search. The chapter ends with a walkthrough on building an intelligent bot.

Next, Azure Automation is examined. Automation typically improves performance, standardisation and reduces the occurrence of errors. The chapter shows how to automatically install applications and configure servers using runbooks and the Power Shell Desired State Configuration tool.

The section continues with a look at Containers, these provide a level of abstraction, removing concern about the virtual hardware and OS, allowing you to concentrate on building and running your applications. Various types of container are examined.

The Internet of Things (IoT) is a hot media topic. It involves devices being connected to the internet, which facilitates additional functionality (e.g. reporting status in real-time). This chapter discusses the Azure IoT Hub, to centrally mange and collect data from various devices. There’s an instructive walkthrough on creating a simulated Raspberry Pi device (illustrating you don’t need an actual device to get started with this functionality).

This section ends with a look at Serverless computing. The idea here is that instead of running a large application on your servers, various small application components are run on a serverless computer provider (e.g. Azure Function Apps). There are servers of course, but from your viewpoint, you’re running small blocks of code on various providers. Azure’s main serverless compute features, Azure Logic Apps and Azure Function Apps, are discussed with examples. 

The book ends, with a subsection titled “Don’t Stop Learning”. This is very appropriate since Azure is constantly changing, with new features being added regularly, existing features changing, and some features merging into other or becoming obsolete. There are some very helpful pointers on where to go to get additional information, courses/exams you might like to follow, and the wealth of information available on GitHub. 

This section provides a very useful look at some of the many Azure features available, covering many diverse aspects of computing. I particularly enjoyed the subsection on where to go for more information. 

Conclusion

This book aims to teach you Azure in around 20 hours, and succeeds - with some reservations. It will take maybe twice as long if you follow all the practicals suggested, and even longer if you run into problems.

Overall, this book is mostly easy to read, having good explanations and flow between sections, helpful diagrams, and useful website links for further information. It has a gentle degree of humour that assists the reading.  

The book covers topics that are mostly appropriate for IT admins, with some later topics are more suited to developers. Developers are generally less familiar with infrastructure (IP addresses, subnets, even VMs!), and often have little interest in these topics. Perhaps this should be pointed out that the start of the book.

The author acknowledges screenshots and some features may get out of date quickly, owing to the rapid change in Azure’s features. Several of the exercises given in the book gave me problems, searching the Internet showed others had problems too. The initial chapters were frustrating for me, I wonder how many people will give up in exasperation?! Which is a pity, because the later chapters are less troublesome. Perhaps Microsoft should provide a stable sandboxed Azure learning area that authors can use to teach others? Or the author could provide regularly updated screenshots and instructions online?

This second edition has fewer screenshots that the first edition.Apart from that, I estimate the book’s content is at least 90% the same as the first edition. I’m not sure there is a need for this second edition – unless the author has realised using screenshots is not advantageous (since they change often), leading to frustration in what is supposed to be an instruction book.

That said, if you’re persistent (which probably means every developer!), you will cover a lot of ground in this book and be rewarded accordingly. I especially liked the inclusion of a subsection on “Don’t Stop Learning”, with some very useful pointers for further and deeper investigation. 

If you can get over the above frustrations (or ignore them?), this book offers a great introduction to Azure.

For other recommendations of books on cloud computing see Cloud Computing Books Pick Of The Bunch

 

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Python All-in-One, 3rd Ed (For Dummies)

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2024
Pages: 720
ISBN: 978-1394236152
Print: 1394236158
Kindle: B0CW1C834N
Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?



Deep Learning (No Starch Press)

Author: Andrew Glassner
Publisher: No Starch Press
Date: July 2021
Pages: 750
ISBN: 978-1718500723
Print: 1718500726
Kindle: ‎ B085BVWXNS
Audience: Developers interested in deep learning
Rating: Mike James
Reviewer: 5
A book on deep learning wtihout an equation in sight?


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Last Updated ( Tuesday, 09 March 2021 )