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  • Mastering Cloud Architecture

  • Strategies and Best Practices for Scalability, Cost Savings, and Security: Cloud-Based Infrastructure for High Availability, Performance, and Cost Optimization
  • 著者: Bruno Dossantos
  • ナレーター: Brian Morrow
  • 再生時間: 2 時間 44 分

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Mastering Cloud Architecture

著者: Bruno Dossantos
ナレーター: Brian Morrow
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あらすじ・解説

Welcome to our book on cloud computing architecture!

Cloud computing has transformed the way we think about technology infrastructure and application deployment. The benefits of cloud computing, such as scalability, cost savings, and flexibility, have made it a popular choice for organizations of all sizes.

This book aims to provide an in-depth understanding of cloud computing architecture, covering the core concepts, principles, and best practices. It will help you gain a comprehensive understanding of cloud computing, from the basics of virtualization to advanced topics such as cloud-native architecture, AI, and edge computing.

We will start by introducing the fundamentals of cloud computing and discussing its benefits and challenges. Then, we will delve into the different types of cloud computing architectures, including public, private, and hybrid clouds.

Next, we will explore the various design principles and best practices for building scalable, secure, and cost-effective cloud architecture. We will cover topics such as auto-scaling, load balancing, high availability, disaster recovery, and performance optimization.

The book will also cover cloud migration strategies, including how to prepare for cloud migration, application migration techniques, and post-migration optimization and management.

Finally, we will discuss the emerging trends in cloud computing, including edge computing, AI, and the next generation of cloud services and technologies.

We hope this book will serve as a valuable resource for cloud architects, developers, and IT professionals looking to build secure, scalable, and cost-effective cloud solutions. Let's get started!

©2023 Bruno Dossantos (P)2023 Bruno Dossantos

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