This book explores how artificial intelligence can transform traditional SRE practices into smarter, predictive, and self-healing operations. It shows how AI can boost reliability and efficiency, and guide readers through implementation strategies, addressing technical, cultural, and organisational shifts needed for AI-driven SRE.

The book bridges traditional Site Reliability Engineering (SRE) practices with AI capabilities to address modern operational challenges. It introduces SRE as a framework and demonstrates how AI can enhance core functions such as monitoring, incident response, capacity planning, and root cause analysis. Readers will find real-world examples, case studies, and design principles that show how to embed AI into existing workflows. Topics range from predictive maintenance powered by machine learning to automated incident resolution through intelligent agents, all aimed at creating self-healing, efficient systems.

 Beginners gain foundational knowledge in SRE and AI, while experienced practitioners can explore complex  use cases, design approaches, and tooling strategies. The book also addresses critical challenges such as data quality, model deployment, and ethical considerations, alongside the cultural and organizational shifts required to adopt AI-driven practices.

 In the end, this book serves as a roadmap for organizations seeking to modernize IT operations through AI. It equips readers to build smarter, more resilient systems and positions itself as a definitive guide for the next generation of reliability engineering in an AI-driven world.

What you will learn:

  Understand the foundations of SRE and how AI reshapes its core principles, practices, and challenges 

  Explore AI-driven monitoring, anomaly detection, and predictive maintenance for proactive reliability 

  Automate incident detection, response, and resolution with intelligent AI tools 

  Apply AI for capacity planning, demand forecasting, and cloud cost optimization in real-world systems

Who this book is for:

Site Reliability Engineers, DevOps specialists, AI practitioners, engineering managers, platform engineers, and technology leaders seeking to harness AI for greater reliability, efficiency, and scalability in modern IT operations.

Abhinav Krishna Kaiser is a highly accomplished professional working as a partner at a prestigious consulting firm, where he plays a pivotal role in leading AI and digital transformation programs for clients across diverse sectors. He is a part of the Distinguished Member of Technical Staff (DMTS) cadre, which represents a select group of best-in-class technologists. With a proven track record in the industry, Abhinav is recognized for his expertise in guiding organizations through complex and innovative changes to stay ahead of the curve in today's dynamic business environment. He takes charge of spearheading various digital transformation initiatives, demonstrating a keen understanding of the unique challenges and opportunities presented by different industries. His portfolio includes successfully steering multiple digital transformation programs, showcasing his ability to navigate and drive change in organizations of varying sizes and complexities. His hands-on experience in implementing cutting-edge technologies and methodologies has contributed to the enhanced efficiency and competitiveness of his clients.

In addition, Abhinav Krishna Kaiser is a multifaceted professional with a prolific career as an accomplished writer. He boasts an impressive literary portfolio comprising six published books, each delving into the intricacies of AI, digital transformation, DevOps, GCP and ITIL. Abhinav's written works serve as authoritative guides, offering valuable insights and practical solutions to professionals navigating the complexities of modern business and technology landscapes. Beyond his contributions in the written domain, Abhinav is a panel speaker, captivating audiences with his expertise at industry conferences and events. His commitment to knowledge-sharing ex-tends to digital platforms, where he actively engages as a YouTuber and blogger. Through these mediums, he imparts knowledge, shares best practices, and explores emerging trends, reaching a wider audience eager to enhance their understanding of Applied AI, Agentic AI, digital transformation, DevOps, GCP, and ITIL.

Vamshi Meda is a seasoned partner at a prominent consulting firm, specializing in guiding organizations through AI and digital transformation initiatives. With a wealth of experience in the field, he serves as a trusted advisor to numerous enterprises, helping them identify opportunities for AI and digital innovation and navigate the complexities of implementation. Vamshi has demonstratedtrack record of leading complex initiatives in Agentic AI, Applied AI, Architecture, Cloud, SRE, AIOps, Agile, and DevOps. He has completed CTO certification from Wharton and a bachelor’s degree in computer science, blending technical prowess with business acumen.

He is recognized for spearheading digital transformation initiatives across diverse industries, including Insurance, Capital Markets, Retail, and Healthcare. Skilled in strategic planning, solution implementation, and fostering collaboration to achieve organizational objectives. A decisive leader with a knack for problem-solving and a commitment to excellence. Vamshi is highly regarded as a keynote speaker at industry-leading conferences, where he shares his expertise and insights on driving successful AI and digital transformations.