AI for DevOps Engineers: How to Use Artificial Intelligence for AIOps, Cloud Automation, Kubernetes Troubleshooting and CI/CD Optimization
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
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- Title
- AI for DevOps Engineers: How to Use Artificial Intelligence for AIOps, Cloud Automation, Kubernetes Troubleshooting and CI/CD Optimization
- Author
- Wahba, Eslam
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798251762884
Artificial Intelligence is transforming DevOps — and the engineers who master it will lead the future of cloud infrastructure.
Modern software systems are becoming increasingly complex. DevOps teams now manage distributed systems, microservices, containerized environments, CI/CD pipelines, and large-scale cloud platforms. Traditional monitoring and automation tools are no longer enough to handle this complexity.This is where Artificial Intelligence for DevOps (AIOps) changes everything.
AI for DevOps Engineers is a practical guide that explains how artificial intelligence can enhance DevOps workflows, automate infrastructure operations, and improve reliability in modern cloud environments.
This book bridges the gap between DevOps engineering, cloud infrastructure, and artificial intelligence, helping engineers understand how to apply AI to real-world operational challenges.
Inside this book, you will learn how modern companies use AI-powered DevOps systems to detect incidents faster, analyze infrastructure logs, automate troubleshooting, and build intelligent monitoring platforms.
What you will learn:
• How Artificial Intelligence is transforming DevOps and cloud operations
• How to use AI for log analysis and anomaly detection
• How to build AI-driven monitoring systems for cloud infrastructure
• How to automate incident detection and root cause analysis
• How AI can optimize CI/CD pipelines and deployment workflows
• How to troubleshoot Kubernetes clusters using intelligent automation
• How to design AI-powered DevOps tools and automation systems
• How modern engineering teams implement AIOps platforms
The book also includes a practical project showing how to build a simple AI DevOps Copilot capable of analyzing infrastructure logs and suggesting possible solutions to operational problems.
Who this book is for:
• DevOps Engineers
• Cloud Engineers
• Site Reliability Engineers (SRE)
• Platform Engineers
• Software Engineers working with modern infrastructure
• Anyone interested in AI-powered operations and DevOps automation
Whether you work with Docker containers, Kubernetes clusters, CI/CD pipelines, or cloud infrastructure, this book will help you understand how artificial intelligence can dramatically improve system reliability, automation, and operational intelligence.
The future of infrastructure is intelligent, automated, and self-healing.
Engineers who understand AI-driven DevOps will be at the forefront of the next generation of cloud computing.
Start building intelligent DevOps systems today.
"Synopsis" may belong to another edition of this title.
GreatBookPrices
Columbia, MD, U.S.A.
AbeBooks seller since April 6, 2009
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