This book is a guide to creating robust, fault-tolerant cloud systems. Mariya Breyter and Carlos Rojas provide actionable strategies and expert insights for designing, building, and maintaining cloud infrastructure. The book is aimed at software engineers, DevOps professionals, and business/engineering leaders, and provides tools and knowledge to create highly available, fault-tolerant cloud systems.
<ASIN:0135395798 >
Author: Mariya Breyter and Carlos Rojas Publisher: Addison-Wesley Date: April 2025 Pages: 272 ISBN: 978-0135395790 Print: 0135395798 Kindle: B0DW4DFSXS Audience: General Level: Introductory/Intermediate Category: Cloud Computing

- 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
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Discovering Modern C++, 2nd Ed
Author: Peter Gottschling Publisher: Addison-Wesley Pages: 576 ISBN: 978-0136677642 Print: 0136677649 Kindle: B09HTJRJ3V Audience: C++ developers Rating: 5 Reviewer: Mike James
Modern C++ who would want to write anything else? Is this a suitable introduction for the rest of us?
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Machine Learning Q and AI (No Starch Press)
Author: Sebastian Raschka Publisher: No Starch Press Date: April 2024 Pages: 264 ISBN: 978-1718503762 Print: 1718503768 Kindle: B0CKKXCK3T Audience: Developers interested in AI Rating: 4 Reviewer: Mike James Q and AI, a play on Q&A is a clever title, but is the book equally clever?
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