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Microservices on the Cloud: Designing Scalable and Flexible Applications in Cloud Environments
Paperback
Publisher: Independently Published
Published: Jan 28 2025
Pages: 298
Weight: 0.88
Height: 0.62 Width: 6.00 Depth: 9.00
Language: English
Microservices on the Cloud: Designing Scalable and Flexible Applications in Cloud Environments is the ultimate guide for developers, architects, and tech leaders seeking to harness the power of microservices to build modern, scalable, and resilient cloud-native applications. As businesses increasingly migrate to the cloud, adopting microservices architecture has become essential to meet the demands of agility, scalability, and high availability.
This book provides a hands-on, practical approach to designing, developing, and deploying microservices-based applications across popular cloud platforms such as AWS, Azure, and Google Cloud. From understanding the core principles of microservices to implementing advanced concepts like service discovery, API gateways, and distributed tracing, this book equips you with the tools and knowledge to thrive in a cloud-first world.
Whether you're an experienced developer or new to microservices, Microservices on the Cloud will guide you through best practices, architectural patterns, and the tools necessary to create applications that are not only flexible but also future-proof.
Inside this book, you'll learn how to:
- Design and build microservices that are cloud-native, scalable, and resilient.
- Implement service orchestration, API gateways, and load balancing for seamless integration.
- Leverage containerization tools like Docker and orchestration platforms like Kubernetes.
- Use cloud-native tools such as AWS Lambda, Azure Functions, and Google Cloud Run.
- Ensure reliability and fault tolerance with distributed tracing and circuit breakers.
- Optimize microservices performance and monitor them with tools like Prometheus and Grafana.
- Secure your microservices with best practices for authentication and authorization.
Packed with real-world examples, architectural diagrams, and hands-on tutorials, this book is a must-read for anyone looking to master microservices and cloud development.
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Artificial Intelligence All-In-One for Dummies
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Minnick, Chris
Mueller, John Paul
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
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The Fourth Intelligence Revolution: The Future of Espionage and the Battle to Save America
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AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
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More Human: How the Power of AI Can Transform the Way You Lead
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Hougaard, Rasmus
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Microsoft 365 Excel All-In-One for Dummies
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Alexander, Michael
Kusleika, Dick
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Building Applications with AI Agents: Designing and Implementing Multiagent Systems
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The Technological Republic: Hard Power, Soft Belief, and the Future of the West
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Zamiska, Nicholas W.
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The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
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Hbr's 10 Must Reads on Artificial Intelligence, Updated and Expanded (Featuring How AI Can Help Managers Think Through Problems by Elisa Farri and Gab
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Agrawal, Ajay
Review, Harvard Business
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What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
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The Experimentation Machine: Finding Product-Market Fit in the Age of AI
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Navigeren door het labyrint: Een handleiding voor het beheer van data
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Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
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Docter, Quentin
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Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
Agrawal, Ajay
Gans, Joshua
Goldfarb, Avi
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Cetinkaya-Rundel, Mine
Wickham, Hadley
Grolemund, Garrett
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On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence
Woolfson, Adrian
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