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Machine Learning in Microservices
Machine Learning in Microservices

Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions

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Profile Icon Mohamed Osam Abouahmed Profile Icon Omar Ahmed
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$46.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (10 Ratings)
Paperback Mar 2023 270 pages 1st Edition
eBook
$9.99 $37.99
Paperback
$46.99
Arrow left icon
Profile Icon Mohamed Osam Abouahmed Profile Icon Omar Ahmed
Arrow right icon
$46.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (10 Ratings)
Paperback Mar 2023 270 pages 1st Edition
eBook
$9.99 $37.99
Paperback
$46.99
eBook
$9.99 $37.99
Paperback
$46.99

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Machine Learning in Microservices

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Key benefits

  • Design, build, and run microservices systems that utilize the full potential of machine learning
  • Discover the latest models and techniques for combining microservices and machine learning to create scalable systems
  • Implement machine learning in microservices architecture using open source applications with pros and cons

Description

With the rising need for agile development and very short time-to-market system deployments, incorporating machine learning algorithms into decoupled fine-grained microservices systems provides the perfect technology mix for modern systems. Machine Learning in Microservices is your essential guide to staying ahead of the curve in this ever-evolving world of technology. The book starts by introducing you to the concept of machine learning microservices architecture (MSA) and comparing MSA with service-based and event-driven architectures, along with how to transition into MSA. Next, you’ll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, you’ll get to grips with machine learning (ML) concepts and see how they can help better design and run MSA systems. Finally, the book will take you through practical examples and open source applications that will help you build and run highly efficient, agile microservices systems. By the end of this microservices book, you’ll have a clear idea of different models of microservices architecture and machine learning and be able to combine both technologies to deliver a flexible and highly scalable enterprise system.

Who is this book for?

This book is for machine learning solution architects, system and machine learning developers, and system and solution integrators of private and public sector organizations. Basic knowledge of DevOps, system architecture, and artificial intelligence (AI) systems is assumed, and working knowledge of the Python programming language is highly desired.

What you will learn

  • 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
Estimated delivery fee Deliver to United States

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Free $6.95

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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 10, 2023
Length: 270 pages
Edition : 1st
Language : English
ISBN-13 : 9781804617748
Category :
Languages :

What do you get with Print?

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Product feature icon AI Assistant (beta) to help accelerate your learning
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Estimated delivery fee Deliver to United States

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Free $6.95

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$21.95
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Product Details

Publication date : Mar 10, 2023
Length: 270 pages
Edition : 1st
Language : English
ISBN-13 : 9781804617748
Category :
Languages :

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Table of Contents

17 Chapters
Part 1: Overview of Microservices Design and Architecture Chevron down icon Chevron up icon
Chapter 1: Importance of MSA and Machine Learning in Enterprise Systems Chevron down icon Chevron up icon
Chapter 2: Refactoring Your Monolith Chevron down icon Chevron up icon
Chapter 3: Solving Common MSA Enterprise System Challenges Chevron down icon Chevron up icon
Part 2: Overview of Machine Learning Algorithms and Applications Chevron down icon Chevron up icon
Chapter 4: Key Machine Learning Algorithms and Concepts Chevron down icon Chevron up icon
Chapter 5: Machine Learning System Design Chevron down icon Chevron up icon
Chapter 6: Stabilizing the Machine Learning System Chevron down icon Chevron up icon
Chapter 7: How Machine Learning and Deep Learning Help in MSA Enterprise Systems Chevron down icon Chevron up icon
Part 3: Practical Guide to Deploying Machine Learning in MSA Systems Chevron down icon Chevron up icon
Chapter 8: The Role of DevOps in Building Intelligent MSA Enterprise Systems Chevron down icon Chevron up icon
Chapter 9: Building an MSA with Docker Containers Chevron down icon Chevron up icon
Chapter 10: Building an Intelligent MSA Enterprise System Chevron down icon Chevron up icon
Chapter 11: Managing the New System’s Deployment – Greenfield versus Brownfield Chevron down icon Chevron up icon
Chapter 12: Deploying, Testing, and Operating an Intelligent MSA Enterprise System Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(10 Ratings)
5 star 80%
4 star 10%
3 star 10%
2 star 0%
1 star 0%
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Mike Abelli Jun 01, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed reading the book. The thing I liked the most about this book is that, it starts with the basic concepts of Machine Learning and Microservices, then step by step dives into the details of each technology. By the time you get to the last chapter of the book, you are able to build an advanced microservices architecture system and embed machine learning algorithms in the system to enhance the system operations, scalability, and resilience. I really recommend the book for anyone interested in machine learning or microservices architecture.
Amazon Verified review Amazon
Sheena Jun 19, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book was very well done in terms of bring everything around ML microservices together in one place. If you are a junior machine learning engineer or MLOps engineer learning about how to design machine learning microservices or preparing for a ML system design interview, then this book is for you. This book assumes ML and cloud system knowledge so it is not for beginners.
Amazon Verified review Amazon
Abbas Masnavi Jan 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a well-written book that skillfully connects ML with MSA. It adopts a structured approach, reflecting the authors' technical expertise in these technologies, complemented by their educational background. They've written an easy-to-follow guide that simplifies the discussed technical topics, thereby making these subjects accessible to a broad range of tech readers with just basic knowledge of DevOps and ML.The initial chapters of the book (spanning parts 1 and 2) cover the foundational concepts of MSA and ML, and explore the integration of ML into microservices. This lays a solid base and prepares readers for the core practical topics addressed in the remaining chapters (part 3), which cover how to deploy ML in MSA systems. This is supplemented by real-world examples and case studies, highlighting the book's practical approach.
Amazon Verified review Amazon
S.Kundu Aug 08, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
It has been an excellent read and sharing my experience regarding the same. This book will help you to learn end to end Machine Learning in Microservices architecture along with all steps on how to Productionize them. You will learn in detail how to refactor your Monolith and at the same time how to build an MSA with Docker Containers. Once you complete this book, you will have a solid understanding of MSA and its benefits and will be equipped with the skills and knowledge necessary to build your own intelligent MSA system.
Amazon Verified review Amazon
Daniel Morris Apr 14, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The authors did a phenomenal job of articulating extremely complex topics and simplifying in practical architectural and business oriented tasks. Their humble approach invites the reader to participate and engage the work and provide inputs to the community at large. I learned a great deal regarding deployment of MSA architecture in relation to modern digital delivery systems.
Amazon Verified review Amazon
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