Название: Reliability Engineering in the Cloud: Strategies and Practices for AI-Powered Cloud-Based Systems (Early Release)Автор: Mariya Breyter, Carlos Rojas
Издательство: Pearson
Год: 2025
Страниц: 136
Язык: английский
Формат: pdf, epub
Размер: 11.8 MB
Deliver Resilient, Scalable, and Efficient Cloud Services with AI, Lean Practices, and Reliability Engineering
In today's fast-paced digital world, the success of your business hinges on the resilience of your cloud infrastructure. System failures and downtime can devastate your bottom line, erode customer trust, and undermine your competitive edge.
Reliability Engineering in the Cloud: Strategies and Practices for Resilient Cloud-Based Systems is your essential guide to creating robust, fault-tolerant cloud systems that deliver seamless performance, no matter the challenge. Packed with actionable strategies and expert insights, this book empowers you to design, build, and maintain cloud infrastructure that supports your business goals.
Learn how to:
Craft a cloud reliability engineering strategy with a holistic, customer-first approach
Build an effective incident management framework to minimize downtime
Leverage AI and machine learning for predictive analytics, automated recovery, and proactive issue resolution
Measure ROI, boost customer satisfaction, and align reliability with business success
Foster a culture of continuous improvement using Objectives and Key Results (OKRs) in a lean environment
Gain inspiration from real-world case studies and insights from industry pioneers
Who Is This Book For?
This book will benefit organizations responsible for building systems in the cloud, and those engineering leaders who need to set an enterprise-wide strategy with thousands of applications and dependencies. Think of it like a corporation with hundreds or thousands of dev teams. This book serves as both the framework and a reference to two groups of readers.
The first group consists of enterprise leaders, from director and VP level to heads of specific businesses, who are looking to increase the reliability and scalability of their systems in the cloud, the efficiency of their operations, and their need for faster incident response while automating their operations to improve time to restore and time to detect to the maximum possible extent. These leaders know that operational agility and chaos experimentation bring a culture of continuous improvement built on collaboration and knowledge sharing among teams.
The second group includes engineers and software teams directly involved in or responsible for cloud applications’ reliability. The frameworks and guides described in the book will allow them to build effective strategies, promoting chaos engineering practices, observability and monitoring techniques, disaster recovery exercises, reliability metrics, fast data-driven decision-making, and practical examples of techniques and tooling for success. Given the lack of both literature on the topic and established frameworks, this group of readers will benefit from having practical, domain-specific approaches and examples that they can apply to their organizations and teams.
For both groups, adopting modern CRE practices will better position their organizations to build and maintain resilient systems that meet their customers’ demands to achieve their business goals effectively. This book focuses on examples and techniques used with cloud providers such as AWS, GCP, and Azure.
Whether you're a software engineer, DevOps professional, or business/engineering leader, this book equips you with the tools and knowledge to create highly available, fault-tolerant cloud systems that consistently exceed user expectations. Start your journey to cloud resilience today and transform your systems into a competitive advantage.
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