Machine Learning in Microservices: Productionizing microservices architecture fo

Description: Machine Learning in Microservices by Omar Ahmed, Mohamed Abouahmed 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. FORMAT Paperback CONDITION Brand New Publisher Description Implement real-world machine learning in a microservices architecture as well as design, build, and deploy intelligent microservices systems using examples and case studiesPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesDesign, build, and run microservices systems that utilize the full potential of machine learningDiscover the latest models and techniques for combining microservices and machine learning to create scalable systemsImplement machine learning in microservices architecture using open source applications with pros and consBook DescriptionWith 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, youll learn about the different approaches to building MSA and find out how to overcome common practical challenges faced in MSA design. As you advance, youll 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, youll 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 learnRecognize the importance of MSA and ML and deploy both technologies in enterprise systemsExplore MSA enterprise systems and their general practical challengesDiscover how to design and develop microservices architectureUnderstand the different AI algorithms, types, and models and how they can be applied to MSAIdentify and overcome common MSA deployment challenges using AI and ML algorithmsExplore general open source and commercial tools commonly used in MSA enterprise systemsWho this book is forThis 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. Author Biography Mohamed Abouahmed is a Principal Architect and Consultant providing a unique combination of technical and commercial expertise to resolve complex and business-critical issues through the design and delivery of innovative, technology-driven systems and solutions. He is specialized in network automation solutions and smart systems development and deployment.Mohameds hands-on experience underpinned by his strong project management and academic background, which includes a PMP Certification, Master of Global Management, Master of Business Administration (International Business), Master of Science in Computer Networking, and BSc in Electronics Engineering, helped him develop and deliver robust solutions for multiple carriers, service providers, enterprises, and Fortune 200 clients.Omar Ahmed is an experienced Computer Engineer with a demonstrated history of working in the information technology and IoT industry. Skilled in C/C++, Databases, Java, Management, and Microcontrollers. Strong engineering professional with a Bachelors degree focused in Computer Engineering from Georgia Institute of Technology. Table of Contents Table of ContentsImportance of MSA and Machine Learning in Enterprise SystemsRefactoring Your MonolithSolving Common MSA Enterprise System ChallengesKey Machine Learning Algorithms and ConceptsMachine Learning System DesignStabilizing the Machine Learning SystemHow Machine Learning and Deep Learning Help in MSA Enterprise SystemsThe Role of DevOps in Building Intelligent MSA Enterprise SystemsBuilding an MSA with Docker ContainersBuilding an Intelligent MSA Enterprise SystemManaging the New Systems Deployment – Greenfield versus BrownfieldDeploying, Testing, and Operating an Intelligent MSA Enterprise System Details ISBN1804617741 Author Mohamed Abouahmed Publisher Packt Publishing Limited Year 2023 ISBN-13 9781804617748 Format Paperback Imprint Packt Publishing Limited Subtitle Productionizing microservices architecture for machine learning solutions Place of Publication Birmingham Country of Publication United Kingdom Pages 270 Publication Date 2023-03-28 AU Release Date 2023-03-28 NZ Release Date 2023-03-28 UK Release Date 2023-03-28 DEWEY 006.31 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. 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