Sign-In
Cart
SRE for AI Systems: Applying SRE principles for building reliable, scalable, and safe AI services (English Edition)
Paperback
General ComputersProgrammingSystem Administration
ISBN13: 9789378544194
Publisher: Bpb Publications
Published: Sep 1 2026
Pages: 310
Weight: 1.18
Height: 0.65 Width: 7.50 Depth: 9.25
Language: English
As AI and ML rapidly power modern digital services from recommendation engines to generative models, moving these workloads into production exposes critical gaps in traditional operations. Site reliability engineering (SRE) applies software engineering principles to infrastructure, making SRE uniquely positioned to own the reliability, observability, and resilience of complex AI-driven environments.
This book bridges the gap between traditional SRE practices and the innovative strategies required to manage AI-driven infrastructures such as LLM models effectively, offering readers a focused guide for this transformative era. Each chapter walks the reader through core concepts such as versioning of models and data, pipeline monitoring, and security testing for AI APIs, while providing concrete SRE patterns for uptime, rollback, and incident management in AI-driven environments. You will learn how to design service-level objectives that reflect AI-specific quality metrics, implement robust monitoring and alerting for model drift and data quality, secure AI-backed APIs against prompt injection and other attacks, and coordinate releases across code, data, and models in a complex environment.
By the end of this book, as an SRE engineer, you will be equipped to design, operate, and scale AI systems with the same rigor that you applied to traditional infrastructure. You will gain skills in building observable AI pipelines, managing versioned data and models at scale, securing AI APIs, and applying SRE principles such as error budgets, incident response, and automation to complex ML and generative AI workloads.
WHAT YOU WILL LEARN
● Applying SRE principles to AI and ML workloads.
● Monitoring AI pipelines for model quality, data drift, and output correctness.
● Defining SLIs and SLOs that reflect business metrics.
● Building resilient deployment and rollback strategies for LLM models.
● Equipping SRE teams to own AI pipelines and ML lifecycle.
● Building and scaling SRE teams to manage AI systems.
WHO THIS BOOK IS FOR
This book is for site reliability engineers, ML engineers, software developers, and SRE managers supporting AI workloads. Readers should possess basic cloud infrastructure knowledge, a foundational understanding of software development, and familiarity with general machine learning principles.
Also from
Nair, Pravin
Traveller's Guide to South Indian Languages: Learn Tamil, Telugu, Kannada, Malayalam
Nair, Pravin
Paperback
Also in
General Computers
All Data Are Local: Thinking Critically in a Data-Driven Society
Loukissas, Yanni Alexander
Paperback
Comptia Network+ Certmike: Prepare. Practice. Pass the Test! Get Certified!: Exam N10-008
Chapple, Mike
Zacker, Craig
Paperback
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Bertot, Yves
Castéran, Pierre
Hardcover
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Grolemund, Garrett
Wickham, Hadley
Paperback
The Reverse Centaur's Guide to Life After AI: How to Think about Artificial Intelligence--Before It's Too Late
Doctorow, Cory
Paperback
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Riccomini, Chris
Kleppmann, Martin
Paperback
AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter
Tyrangiel, Josh
Hardcover
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Yudkowsky, Eliezer
Soares, Nate
Hardcover
The Year in Tech, 2026: The Insights You Need from Harvard Business Review
Anthony, Scott D.
Webb, Amy
Review, Harvard Business
Paperback
Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI
Suskind, Dana, MD
Hardcover
Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)
Iansiti, Marco
Review, Harvard Business
Davenport, Thomas H.
Paperback
The Agi Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence
Roose, Kevin
Hardcover
A Giant Leap: How AI Is Transforming Healthcare and What That Means for Our Future
Wachter, Robert
Hardcover
The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
Bender, Emily M.
Hanna, Alex
Hardcover
Generative Ai: The Insights You Need from Harvard Business Review
Mollick, Ethan
Cremer, David De
Review, Harvard Business
Paperback
CompTIA Network+ Certification All-in-One Exam Guide, Ninth Edition (Exam N10-009)
Weissman, Jonathan S.
Paperback
Fans First: Change The Game, Break the Rules & Create an Unforgettable Experience
Cole, Jesse
Paperback
AI Literacy in Any Class: Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area
Miller, Matt
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Housley, Matt
Reis, Joe
Paperback
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
Crawford, Kate
Paperback
Minecraft: Guide Collection 4-Book Boxed Set (Updated): Survival (Updated), Creative (Updated), Redstone (Updated), Combat
Mojang Ab
The Official Minecraft Team
Hardcover
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Paperback
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
We Are as Gods: A Survival Guide for the Age of Abundance
Diamandis, Peter H.
Kotler, Steven
Hardcover
The Eureka Machine: Why AI Is the Key to Unlocking a New Era of Scientific Discoveries
Socher, Richard
Hardcover
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip
Witt, Stephen
Hardcover
Hands-On Machine Learning with Scikit-Learn and Pytorch: Concepts, Tools, and Techniques to Build Intelligent Systems
Géron, Aurélien
Paperback
AI with Intention: Principles and Action Steps for Teachers and School Leaders
Frontier, Tony
Paperback
Human + Machine, Updated and Expanded: Reimagining Work in the Age of AI
Wilson, H. James
Daugherty, Paul R.
Hardcover
Artificial Intelligence: A Guide for Thinking Humans (with a New Preface)
Mitchell, Melanie
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
CompTIA Tech+ Certification All-in-One Exam Guide, Third Edition (Exam FC0-U71)
Wempen, Faithe
Paperback
Hands-On Large Language Models: Language Understanding and Generation
Alammar, Jay
Grootendorst, Maarten
Paperback
The Black Swan: Second Edition: The Impact of the Highly Improbable: With a New Section: On Robustness and Fragility
Taleb, Nassim Nicholas
Paperback
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Hardcover
Tubes: A Journey to the Center of the Internet with a New Introduction by the Author
Blum, Andrew
Paperback
AP Computer Science Principles Premium, 2027: 6 Practice Tests + Comprehensive Review + Online Practice
Reichelson, Seth
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
Love Machines: How Artificial Intelligence Is Transforming Our Relationships
Muldoon, James
Hardcover
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Jepson, Brian
Hattersley, Lucy
Paperback
AP Computer Science a Premium, 13th Edition: Prep Book with 6 Practice Tests + Comprehensive Review + Online Practice (2026)
Teukolsky, Roselyn, M. S.
Carman, Chris
Paperback
Minecraft: Exploded Builds: Medieval Fortress: An Official Mojang Book
Mojang Ab
The Official Minecraft Team
Paperback
Power and Prediction: The Disruptive Economics of Artificial Intelligence
Goldfarb, Avi
Agrawal, Ajay
Gans, Joshua
Hardcover
The Empty Center: Permission, Connection, and What We Build When the Future is Uncertain
Drumwright, Hayes
Paperback
You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place
Shane, Janelle
Paperback
AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
Narayanan, Arvind
Kapoor, Sayash
Hardcover
You to the Power of Two: Redefining Human Potential in the Age of Identic AI
Bradley, Joseph
Tapscott, Don
Hardcover
Minecraft: Roll for Adventure: The Temple of the Charged Creeper
Forbeck, Matt
Forbeck, Marty
Hardcover
The Problem with Personalization: How Advertisers Learned to Make and Break Us from Ancient Times to the AI Age
Turow, Joseph
Hardcover
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation
Hill, Paul
Brown, Steve
Paperback
The Death of Expertise: The Campaign Against Established Knowledge and Why It Matters
Nichols, Tom
Paperback
Graphic Artists Guild Handbook, 17th Edition: Pricing & Ethical Guidelines
The Graphic Artists Guild
Paperback
Artificial Intelligence All-In-One for Dummies
Massaron, Luca
Minnick, Chris
Mueller, John Paul
Paperback
The Fourth Intelligence Revolution: The Future of Espionage and the Battle to Save America
Vinci, Anthony
Hardcover
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Huyen, Chip
Paperback
RHCSA Red Hat Enterprise Linux 10: Training and Exam Preparation Guide (EX200), Fourth Edition
Ghori, Asghar
Paperback
AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an Artificial Intelligence Future
Miller, Matt
Paperback
More Human: How the Power of AI Can Transform the Way You Lead
Carter, Jacqueline
Hougaard, Rasmus
Hardcover
Microsoft 365 Excel All-In-One for Dummies
Ringstrom, David H.
Alexander, Michael
Kusleika, Dick
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
The Technological Republic: Hard Power, Soft Belief, and the Future of the West
Karp, Alexander C.
Zamiska, Nicholas W.
Hardcover
The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma
Suleyman, Mustafa
Hardcover
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
Davenport, Thomas H.
Agrawal, Ajay
Review, Harvard Business
Paperback
What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds
Aguera Y. Arcas, Blaise
Paperback
The Experimentation Machine: Finding Product-Market Fit in the Age of AI
Bussgang, Jeffrey J.
Hardcover
Navigeren door het labyrint: Een handleiding voor het beheer van data
Sebastian-Coleman, Laura
Paperback
Comptia A+ Complete Study Guide, 2-Volume Set: Volume 1 Core 1 Exam 220-1201 and Volume 2 Core 2 Exam 220-1202
Buhagiar, Jon
Docter, Quentin
Paperback
Prediction Machines, Updated and Expanded: The Simple Economics of Artificial Intelligence
Goldfarb, Avi
Agrawal, Ajay
Gans, Joshua
Hardcover
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Cetinkaya-Rundel, Mine
Wickham, Hadley
Grolemund, Garrett
Paperback
Laptops for Seniors in Easy Steps, 9th Edition: Covers All Laptops with the Windows 11 2024 Update
Vandome, Nick
Paperback