See how artificial intelligence (AI) can enhance and accelerate the key functions across the SDLC lifecycle and in IT operations. This book reveals how AI-driven tools can unlock new levels of automation, precision, and insight, and revolutionize software development and operations through DevOps methodologies.
The book starts by introducing the basics of DevOps and the evolution of AI, then explains key AI techniques and data management strategies essential for DevOps workflows. It provides a detailed roadmap for integrating AI into various stages of the DevOps lifecycle, such as requirements management, development, testing, deployment, monitoring, incident management, scalability, resource optimization, security, and compliance.
Practical examples, use cases, and best practices are presented to enhance efficiency, agility, and reliability in these areas. Additionally, you'll review the ethical and social implications of AI in DevOps and look at actual applications and case studies of successful implementations. Finally, you'll look ahead to future trends and technologies and prepare for the evolving landscape of AI-driven DevOps. AI Integration in Software Development and Operations will equip you with the knowledge and tools to leverage AI for transformative change in their organizations.
What You Will Learn
- Understand DevOps principles and AI's evolution, exploring their intersection.
- Review machine learning basics, AI techniques, and data preprocessing for DevOps.
- Discover AI's impact on Agile and estimation through practical scenarios.
- Examine the optimization of building pipelines using AI and creating CI/CD pipelines.
Who This Book is For
Software engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.
