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:
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Design, build, and run microservices systems that utilize the full
potential of machine learning
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Discover the latest models and techniques for combining microservices
and machine learning to create scalable systems
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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
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Discover how to design and develop microservices architecture
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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.
