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What are the Best AiOps Books?

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Best AiOps Books

If you’re interested in learning about artificial intelligence and operations (AiOps), there are plenty of books out there that can help you. In this article, we’ll take a look at some of the best AiOps books available, covering a range of topics from machine learning to DevOps.

The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win

One of the most popular AiOps books is “The Phoenix Project” by Gene Kim, Kevin Behr, and George Spafford. This novel tells the story of a fictional IT department struggling to keep up with the demands of the business. The book introduces readers to the principles of DevOps, a methodology that emphasizes collaboration and communication between development and operations teams.

Machine Learning for Dummies

For those new to the field of machine learning, “Machine Learning for Dummies” by John Paul Mueller and Luca Massaron is an excellent place to start. The book provides a clear and concise introduction to the fundamentals of machine learning, including algorithms, models, and data preparation. It also includes practical examples and tips for getting started with your own machine learning projects.

Practical DevOps

“Practical DevOps” by Joakim Verona and Viktor Farcic is a comprehensive guide to implementing DevOps principles in real-world environments. The book covers topics such as continuous integration and delivery, infrastructure as code, and monitoring and logging. It also includes case studies and best practices from industry experts.

The DevOps Handbook

“The DevOps Handbook” by Gene Kim, Jez Humble, Patrick Debois, and John Willis is a must-read for anyone interested in DevOps. The book provides a detailed roadmap for implementing DevOps in organizations of all sizes, including strategies for overcoming common obstacles and achieving success. It also includes case studies and interviews with industry leaders.

Data Science for Business

Data Science for Business

“Data Science for Business” by Foster Provost and Tom Fawcett is a comprehensive guide to using data science to drive business decisions. The book covers a range of topics, including data mining, predictive modeling, and machine learning. It also includes practical examples and case studies to help readers apply these concepts in real-world scenarios.

The Art of Monitoring

“The Art of Monitoring” by James Turnbull is a practical guide to monitoring and logging in modern IT environments. The book covers topics such as metrics, alerting, and visualization, as well as best practices for monitoring distributed systems. It also includes case studies and examples from industry experts.

The Future of Humanity

“The Future of Humanity” by Michio Kaku is a thought-provoking exploration of the future of technology and its impact on society. The book covers a range of topics, including artificial intelligence, robotics, and space exploration. It also includes insights from leading scientists and futurists on what the future may hold.

In conclusion, there are plenty of great AiOps books out there to help you learn more about this exciting field. Whether you’re interested in machine learning, DevOps, or the future of technology, there’s something for everyone. So why not pick up one of these books today and start your journey towards becoming an AiOps expert?

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