Machine Learning in Microservices
Agile development and quick time-to-market deployments are crucial for competitive markets and dynamic needs, and deploying artificial intelligence technologies in microservices architecture creates flexible and adaptive systems. This practical guide helps developers and architects to design and deploy intelligent microservices systems.
Offered by
Difficulty Level
Intermediate
Completion Time
9h
Language
English
About Book
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.
Machine Learning in Microservices
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h total length
Importance of MSA and Machine Learning in Enterprise Systems
Refactoring Your Monolith
Solving Common MSA Enterprise System Challenges
Key Machine Learning Algorithms and Concepts
Machine Learning System Design
Stabilizing the Machine Learning System
How Machine Learning and Deep Learning Help in MSA Enterprise Systems
The Role of DevOps in Building Intelligent MSA Enterprise Systems
Building an MSA with Docker Containers
Building an Intelligent MSA Enterprise System
Managing the New System’s Deployment – Greenfield versus Brownfield
Deploying, Testing, and Operating an Intelligent MSA Enterprise System
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