Interview with Mohamed Osam Abouahmed

Mohamed Osam Abouahmed is the author of Machine Learning in Microservices; we got the chance to sit down and find out more about his experience of writing with Packt.

Q: What is the name of your book?

Abouahmed: Machine Learning in Microservices.

Q: What are your specialist tech areas?

Abouahmed: Networking, IT Architecture, Automation.

Q: How did you become an author for Packt? Tell us about your journey. What was your motivation for writing this book?

Abouahmed: My path to becoming an IT book author began with a love of technology and a desire to share my knowledge with others. I’ve always been fascinated by technology’s ability to transform businesses and industries. As I got deeper into the world of technology, I became aware of a significant knowledge gap that needed to be filled. Many people were having difficulty understanding complex IT concepts and required simplified explanations. This is what inspired me to start writing books about machine learning and how artificial intelligence in general can transform modern architecture. It took years of hard work and dedication for me to gain the knowledge and experience required to write a book. I spent countless hours reading and researching various IT architecture concepts, experimenting with various technologies, and collaborating with industry experts. I also attended a number of IT conferences and events to stay current on the latest trends and technologies. This gave me the confidence and knowledge I needed to begin writing the book. The main reason for writing a book about machine learning in microservices was to meet the increasing demand for more advanced IT solutions. As businesses rely more on technology, they require more sophisticated IT solutions to address their complex requirements. Microservices Architecture is a new concept that has received a lot of attention in recent years. Machine learning in microservices entails using machine learning algorithms to create intelligent microservices that can solve complex business problems. I realized there was a need for a book to help IT professionals understand and apply this concept to their businesses. This inspired me to begin writing this book.

Q: What kind of research did you do, and how long did you spend researching before beginning the book?

Abouahmed: I tapped into examples of many of the project I previous developed or managed. Had to read some of the up to date industry best practices and the evolution that has been happening recently in the field of AI and microservices architecture. I have close to 15 years’ experience in IT architecture, and about 8 years in AI. Took me about a year to materialize the book idea and start writing the book.

Q: Did you face any challenges during the writing process? How did you overcome them?

Abouahmed: Of course. Writer’s block was one of the most difficult challenges I faced on multiple occasions. Although I felt like I was on a roll and could finish an entire chapter in two or three days at times, I also experienced a mental block and a slowdown in trying to organize the ideas and how the ideas could connect together in a clear flow that made sense to the reader. This writer’s block lasted several weeks at times, with me unable to write a single line. Another difficulty is staying motivated and focused throughout the writing process. Trying to balance the demands of my current job, my family, and my personal life can be exhausting, making it difficult to write. Usually a nice weekend break or a brisk walk in the park or by the beach helps

Q: What’s your take on the technologies discussed in the book? Where do you see these technologies heading in the future?

Abouahmed: As more businesses embrace digital transformation, there will be a greater demand for intelligent and automated systems capable of handling complex tasks and processes. Machine learning algorithms can be used to create intelligent systems capable of analyzing massive amounts of data, identifying patterns, and making precise predictions. This can assist businesses in streamlining their operations, lowering costs, and improving their bottom line. We can expect machine learning to become even more advanced in the coming years, with the ability to handle increasingly complex tasks and provide even more accurate predictions. In the meantime, microservices architecture provides an efficient and scalable way to build and manage complex applications as businesses continue to adopt cloud computing and containerization. Businesses can use microservices architecture to break down their applications into smaller, more manageable components, making them easier to develop, deploy, and maintain. Machine learning and microservices architecture have enormous potential to change the way businesses operate. Businesses can use intelligent microservices to create highly customized and efficient systems that can adapt to changing needs and provide valuable insights into their operations. Overall, the future of machine learning in solving business and IT problems in conjunction with microservices architecture looks bright, and we can expect significant advancements in the coming years.

Q: Why should readers choose this book over others already on the market? How would you differentiate your book from its competition?

Abouahmed: Most books in the market either talks about machine learning or microservices. This book is the first to talk about both concepts, the advantages of using machine learning in microservices, and how to do that in large enterprise systems.

Q: What are the key takeaways you want readers to come away with from the book?

Abouahmed: *Recognize the importance of MSA and ML and deploy both technologies in enterprise systems * Explore MSA enterprise systems and their general practical challenges * Discover how to design and develop microservices architecture * Understand the different AI algorithms, types, and models and how they can be applied to MSA * Identify and overcome common MSA deployment challenges using AI and ML algorithms * Explore general open source and commercial tools commonly used in MSA enterprise systems.

Q. What advice would you give to readers jumping into this technology? Do you have any top tips?

Abouahmed Get yourself familiar with architectural concepts, industry best practices, machine learning concepts, and start a small demo project on your own to be able to digest all of these concepts in a practical and hands-on manner.

Q. How would you describe your author’s journey with Packt? Would you recommend Packt to aspiring authors?

Abouahmed Insightful and smooth. Yes, would recommend it to other authors.

Q. Do you belong to any tech community groups?

Abouahmed: Yes. The Enterprise Architecture Network, Cisco CCIE Community, Information Security Community.

Q. What are your favorite tech journals? How do you keep yourself up to date on tech?

Abouahmed General expert blogs and LinkedIn tech group posts.

Q. How did you organize, plan, and prioritize your work and write the book?

Abouahmed: Build and constantly checking and updating three main to-do lists. Daily to-do, weekly to-do, and general to-do. Each of these to-do’s have three sections, one is job related, one is personal stuff, and the third is for the books well.

Q. What is that one writing tip that you found most crucial and would like to share with aspiring authors?

Abouahmed Always brainstorm and bounce your ideas with a trusted friend or coworker who has knowledge in the area you are writing about.

Q. Would you like to share your social handles? If so, please share.

Abouahmed: LinkedIn.

You can find Mohamed Osam Abouahmed’s book on Amazon by following this link: Please Click Here

Machine Learning in Microservices is available on