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

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

Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions Paperback / softback - 2023

by Mohamed Osam Abouahmed

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Paperback / softback. New. A practical guide for developers, and solution architects to design, build, and deploy intelligent microservices system Key Features * Explanation of microservices system architecture, pros and cons. * Understand different models of microservices architecture, machine learning, and how to combine them. * Learn different ways to build microservices architecture and solve practical design challenges. Book Description The book starts with the main concepts of Machine Learning Service Architecture (MSA), comparing MSA with service-based and event-driven architectures, and how to transition into MSA. You will then learn different approaches to build MSA and solve common practical challenges faced in MSA design. The book then goes over machine learning concepts and how they can help better design and run MSA systems. Then close by discussing practical examples and open-source applications that will help build and run highly efficient, agile microservices system By the end of this book, you will have understood different models of microservices architecture, machine learning, and how to combine both technologies to deliver a flexible, highly scalable enterprise system What you will learn * The importance of MSA and machine learning and deploying both technologies in enterprise systems * Understand the MSA enterprise systems and their general practical challenges * Learn how to design and develop microservices architecture * Understand the different AI algorithms, types, and models and how they can be applicable to MSA * Identify and solve common MSA deployment challenges and how to overcome these challenges using AI and machine learning algorithms * Explore with hands-on examples general open-source and commercial tools commonly used in MSA enterprise systems Who This Book Is For Machine learning solution architects, system and machine learning developers, and system and solution integrators, of private and public sector organizations. Some knowledge of DevOps, system architecture, and artificial intelligence (AI) systems. Some working knowledge of Python programming language is also highly desired
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Details

  • Title Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions
  • Author Mohamed Osam Abouahmed
  • Binding Paperback
  • Condition New
  • Pages 270
  • Volumes 1
  • Language ENG
  • Publisher Packt Publishing
  • Publication date 2023-03-10
  • Bookseller's Inventory # B9781804617748
  • ISBN 9781804617748 / 1804617741
  • Weight 1.03 lbs (0.47 kg)
  • Dimensions 9.25 x 7.5 x 0.57 in (23.50 x 19.05 x 1.45 cm)
  • Category Computers - Data Base Management
  • Quantity available 10

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From the publisher

Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studies

Purchase of the print or Kindle book includes a free PDF eBook


Key Features:

  • 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


Book 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.


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


Who this book is 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.

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