Scalable Cloud Computing Patterns For Reliability And Performance
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Scalable Cloud Computing: Patterns for Reliability and Performance
Dive into the transformative world of cloud computing with "Scalable Cloud Computing: Patterns for Reliability and Performance," your comprehensive guide to mastering the principles, strategies, and practices that define modern cloud environments. This carefully curated book navigates through the intricate landscape of cloud computing, from foundational concepts and architecture to designing resilient, scalable applications and managing complex data in the cloud. Whether you're a beginner seeking to understand the basics or an experienced professional aiming to enhance your skills, this book offers deep insights into ensuring reliability, optimizing performance, securing cloud environments, and much more. Explore the latest trends, including microservices, serverless computing, and emerging technologies that are pushing the boundaries of what's possible in the cloud. Through detailed explanations, practical examples, and real-world case studies, "Scalable Cloud Computing: Patterns for Reliability and Performance" equips you with the knowledge to architect and deploy robust applications that leverage the full potential of cloud computing. Unlock the secrets to optimizing costs, automating deployments with CI/CD, and navigating the complexities of data management and security in the cloud. This book is your gateway to becoming an expert in cloud computing, ready to tackle challenges and seize opportunities in this ever-evolving field. Join us on this journey to mastering cloud computing, where scalability and reliability are within your reach.
Designing Data-Intensive Applications
Author: Martin Kleppmann
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2017-03-16
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures
Design Patterns for Cloud Native Applications
Author: Kasun Indrasiri
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-05-17
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems