UID:
almahu_9949576473902882
Umfang:
1 online resource (270 pages)
ISBN:
9781804612149
,
9781804617748
Inhalt:
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.
Anmerkung:
Machine learning in microservices : productionizing microservices architecture for machine learning solutions -- Contributors -- Table of Contents -- Preface -- Part 1: Overview of Microservices Design and Architecture -- 1: Importance of MSA and Machine Learning in Enterprise Systems -- 2: Refactoring Your Monolith -- 3: Solving Common MSA Enterprise System Challenges -- Part 2: Overview of Machine Learning Algorithms and Applications -- 4: Key Machine Learning Algorithms and Concepts -- 5: Machine Learning System Design -- 6: Stabilizing the Machine Learning System -- 7: How Machine Learning and Deep Learning Help in MSA Enterprise Systems -- Part 3: Practical Guide to Deploying Machine Learning in MSA Systems -- 8: The Role of DevOps in Building Intelligent MSA Enterprise Systems -- 9: Building an MSA with Docker Containers -- 10: Building an Intelligent MSA Enterprise System -- 11: Managing the New System's Deployment - Greenfield versus Brownfield -- 12: Deploying, Testing, and Operating an Intelligent MSA Enterprise System -- Index -- Other Books You May Enjoy.
,
Mode of access: World Wide Web.
Sprache:
Englisch
Schlagwort(e):
Electronic books.
URL:
https://portal.igpublish.com/iglibrary/search/PACKT0006528.html
Bookmarklink
