DevOps Meets AI, ML, and RPA
Accelerated DevOps with AI, ML & RPA: Non-Programmer’s Guide to AIOPS & MLOPS is a focused overview of where modern software delivery is heading when intelligent automation enters the picture. Stephen Fleming approaches the subject from a practical, non-programmer angle, making the book especially approachable for readers who want the bigger strategic view of AIOps, MLOps, and automation-driven DevOps without being buried in code.
The book frames AI and machine learning as tools that can reshape monitoring, alert handling, quality checks, and production workflows. It also connects those ideas to broader changes in IT operations, where data, automation, and faster decision-making increasingly sit at the center of delivery and support.
What the Book Focuses On
- How DevOps changes when AI and ML are added to the mix
- The idea of AIOps and its role in operations and monitoring
- MLOps as a response to the challenge of moving models into production
- Ways automation can support self-healing, triage, and lifecycle insight
- Why intelligent automation matters for teams, businesses, and careers
Built for a Broad Technical Audience
The tone and structure suggest a reader who wants orientation, context, and vocabulary more than implementation details. That makes this a useful pick for consultants, technology professionals, students, and anyone trying to understand how AI is changing the DevOps conversation. It is also a natural fit for readers comparing AIOps, MLOps, and automation-led operations strategies.
A Quick, Current-Feeling Guide to a Fast-Moving Field
If you are looking for a compact ebook that explains the promise of AI-powered DevOps in plain language, this title offers a clear starting point. It is a concise introduction to a topic that continues to shape how teams build, deploy, observe, and improve software systems.
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