Quality For Devops Teams
Download Quality For Devops Teams PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Quality For Devops Teams book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Quality for DevOps teams
Author: Rik Marselis
language: en
Publisher: Uitgeverij kleine Uil
Release Date: 2020-03-17
Supporting teams in implementing quality in DevOps culture, with practical examples, useful knowledge and some theoretical background. To continuously deliver IT systems at speed with a focus on business value, DevOps teams integrate quality engineering in their way of working. This book supports teams in implementing quality in their DevOps culture, with practical examples, useful knowledge and some theoretical background. For example, it describes how to benefit from a CI/CD pipeline. TMAP is the body of knowledge for quality engineering in IT delivery and builds on practical experience from thousands of people in more than twenty-five years. The website, www.tmap.net, supports any kind of IT delivery model. This book, however, focuses on DevOps: today's implementation of high-performance IT delivery.
VERTICAL OPTIMIZATION: AI AGENTS IN THE DEV-OPS ERA
Author: Dr Aadam Quraishi
language: en
Publisher: Xoffencer International Book Publication House
Release Date: 2025-02-08
DevOps, which stands for software operations and development, is a dynamic industry that places a strong emphasis on automation, scalability, and efficiency. Vertical optimisation, as defined in the context of artificial intelligence agents, refers to the process of strategically improving each stage of the DevOps pipeline by the use of AI. The following are included: monitoring, testing, deployment, and development of the code. Through the implementation of AI agents into workflows, organisations have the potential to improve efficiency, reduce the likelihood of errors caused by humans, and accelerate the delivery of software. As a result of the shift towards vertical optimisation, DevOps is evolving into a more comprehensive approach, with artificial intelligence acting as a guide to enhance innovation and operational efficiency across the whole development lifecycle, rather than only being a tool applicable to certain tasks. As we move into the era of DevOps, teams are able to automate complex tasks, analyse large amounts of data, and make decisions based on the data in real time with the assistance of artificial intelligence agents. Artificial intelligence (AI) has a variety of uses. For instance, it may improve code quality by automatically evaluating and providing feedback on modifications, it can analyse historical performance data to predict system failures, and it can manage deployments by selecting the environment settings that are optimal. DevOps engineers are able to devote more time to important initiatives as a result of the automation of these monotonous and error-prone activities. This, in turn, makes the development environment more agile and responsive. Because of the ongoing development of artificial intelligence, its role in vertical optimisation will continue to expand. This will make it possible to integrate the various stages of software development in a seamless manner, which will ultimately result in software delivery that is both more efficient and more expedient. One of the goals of this transformation is to reduce the amount of time it takes to bring a product to market. Another purpose is to encourage innovation that can adapt to new technological developments and shifting customer needs.
Integrating Artificial Intelligence with DevOps
Author: Sumanth Tatineni
language: en
Publisher: Libertatem Media Private Limited
Release Date: 2024-03-15
Unlock the future of software development with Integrating Artificial Intelligence with DevOps: Advanced Techniques, Predictive Analytics, and Automation for Real-Time Optimization and Security in Modern Software Development. This comprehensive monograph is a must-read for professionals seeking to revolutionize their DevOps workflows through the power of AI. Dive deep into the intricate integration of Artificial Intelligence within DevOps practices and discover advanced methodologies that enhance every stage of the software development lifecycle. From predictive analytics and intelligent automation to real-time optimization and robust security measures, this book offers a wealth of knowledge for optimizing software delivery. Explore practical applications, in-depth case studies, and best practices that illustrate the transformative potential of AI in DevOps. Each chapter builds on the previous, providing a seamless and cohesive narrative that guides readers through foundational concepts to advanced implementations. Whether you're looking to improve CI/CD pipelines, automate testing and monitoring, manage infrastructure more efficiently, or enhance security with AI-driven techniques, this book equips you with the tools and insights needed to ensure high-quality, secure, and efficient software delivery. Join the vanguard of modern software development with Integrating Artificial Intelligence with DevOps, and harness AI to achieve real-time optimization and unparalleled security in your DevOps processes.