Ai Driven Devops Decision Making Transforming Software Development Workflows With Intelligent Systems
DOWNLOAD
Download Ai Driven Devops Decision Making Transforming Software Development Workflows With Intelligent Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai Driven Devops Decision Making Transforming Software Development Workflows With Intelligent Systems 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. If the content not found or just blank you must refresh this page
Ai Driven Devops Decision Making Transforming Software Development Workflows With Intelligent Systems
DOWNLOAD
Author : Sumanth Tatineni
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-03-22
Ai Driven Devops Decision Making Transforming Software Development Workflows With Intelligent Systems written by Sumanth Tatineni and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Computers categories.
This book provides a comprehensive exploration of the "AI-Driven DevOps Decision-Making" system, a groundbreaking approach that leverages artificial intelligence to optimize decision-making processes within DevOps workflows. Drawing upon the foundational research and patent application, the book delves deep into the innovative methodologies, technical frameworks, and real-world applications of this AI-driven system. Beginning with the conceptual underpinnings of DevOps and the challenges of dynamic software development environments, the book outlines how AI can revolutionize traditional workflows by providing real-time insights, predictive analytics, and adaptive learning capabilities. It provides an in-depth understanding of the core components and algorithms of the system, as well as its practical implementation across different stages of the DevOps lifecycle. Each chapter combines theoretical knowledge with practical insights, supported by case studies and examples that illustrate the tangible benefits of adopting this intelligent decision-making framework. The book also envisions the future of AI in DevOps, highlighting opportunities for innovation and further research in optimizing software development practices. By the end of this book, readers will have a thorough understanding of how to integrate AI-driven decision-making tools within their DevOps environments, ultimately leading to more efficient, agile, and reliable software development processes.
Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025
DOWNLOAD
Author : Ankush Jitendrakumar Tyagi, Dr. Lalit Kumar
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025 written by Ankush Jitendrakumar Tyagi, Dr. Lalit Kumar and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The rapid evolution of cloud-native architecture has reshaped the way applications are designed, developed, and deployed. With the increasing complexity of these systems, traditional methods of performance monitoring and observability have struggled to keep pace. The need for real-time insights, proactive issue detection, and intelligent decision-making has never been more urgent. In this context, AI-enhanced observability emerges as a critical innovation, enabling businesses to leverage artificial intelligence (AI) and machine learning (ML) to transform how they monitor, analyze, and optimize cloud-native applications. The concept of observability is no longer limited to tracking basic metrics such as CPU usage or memory consumption. Instead, it has expanded to include deeper insights into the overall system behavior, user experiences, and distributed systems’ performance. As cloud-native architectures, powered by technologies like microservices, containers, and serverless computing, become more widespread, monitoring and observing every aspect of a system’s performance has become a highly complex and resource-intensive challenge. AI-enhanced observability addresses this complexity by automating and improving the collection, analysis, and interpretation of vast amounts of data generated by cloud-native applications. This book, AI-Enhanced Observability: Intelligent Performance Monitoring for Cloud-Native Architectures, explores the intersection of AI-driven observability and cloud-native systems. It aims to provide readers with an in-depth understanding of how artificial intelligence and machine learning can be harnessed to deliver smarter performance monitoring, detect anomalies faster, and enable better decision-making in cloud-native environments. Through intelligent monitoring and predictive insights, organizations can move from a reactive approach to a proactive one, identifying issues before they affect performance and ultimately improving the reliability, scalability, and efficiency of their systems. The evolution of cloud-native architecture has led to the proliferation of diverse and distributed components, often running in dynamic and highly elastic environments. Traditional tools, which were originally designed for more static, monolithic systems, can no longer handle the volume, velocity, and variety of data required to gain comprehensive visibility into these modern architectures. AI and machine learning technologies offer the promise of transforming observability from a collection of data points into a comprehensive, intelligent system capable of continuously learning from its environment and delivering actionable insights in real-time. This book covers a range of critical topics, including automated anomaly detection, root cause analysis, predictive monitoring, and adaptive alerting, among others. Each of these concepts plays a crucial role in helping organizations monitor the health of their cloud-native applications and infrastructure. The integration of AI allows for the identification of patterns and behaviors that traditional methods may miss, providing more granular insights into system performance and user experience. As cloud-native architecture continues to grow in complexity, leveraging AI to enhance observability will become not just a best practice but a necessity for maintaining the performance and reliability of modern systems. This book is written for cloud architects, site reliability engineers (SREs), DevOps teams, and anyone involved in the development, deployment, and maintenance of cloud-native applications. Whether you are looking to enhance your organization’s ability to monitor performance, identify bottlenecks, or gain predictive insights into your cloud infrastructure, this book will provide valuable insights and actionable strategies to achieve smarter, more efficient observability. The chapters of this book are organized to introduce the fundamental principles of AI-enhanced observability, followed by detailed discussions on how these concepts are applied to real-world scenarios in cloud-native environments. Each chapter is designed to build upon the previous one, with practical examples, case studies, and step-by-step guides to help readers implement AI-driven observability solutions in their own organizations. In addition to exploring the theoretical underpinnings of AI-enhanced observability, this book also provides practical guidance on selecting the right tools, integrating machine learning models into observability platforms, and addressing the challenges that arise when scaling observability practices in large, complex systems. By the end of this book, readers will have a clear understanding of how AI can be leveraged to improve performance monitoring and observability in cloud-native environments, leading to enhanced operational efficiency, reliability, and user satisfaction. I hope that this book provides you with the knowledge and tools to embrace the future of observability, enabling you to stay ahead of challenges, drive innovation, and optimize the performance of your cloud-native applications. Authors
Synergizing Ai Devops And Deep Learning Integrating Nlp For Next Generation Innovations
DOWNLOAD
Author : Venkata Mohit Tamanampudi
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2023-04-12
Synergizing Ai Devops And Deep Learning Integrating Nlp For Next Generation Innovations written by Venkata Mohit Tamanampudi and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-12 with Computers categories.
This book explores the powerful intersection of Artificial Intelligence (AI), DevOps, Natural Language Processing (NLP), and Deep Learning, focusing on how these technologies can be combined to build more efficient, automated, and intelligent systems. It delves into the principles behind AI and DevOps, offering a roadmap for integrating these practices to enable continuous delivery and automation of machine learning models. NLP is highlighted as a critical technology that bridges human-computer interaction, while Deep Learning provides the backbone for powerful, data-driven decision-making systems. Readers will gain practical insights into building scalable systems, utilizing AI-driven DevOps pipelines, and integrating NLP for developing smart, interactive applications. The book will provide real-world examples and step-by-step guides for adopting cutting-edge AI/ML methodologies with the speed and agility of DevOps processes, making it an essential read for data scientists, AI engineers, and DevOps practitioners.
Artificial Intelligence Driven Transformation In Insurance Security Devops And Intelligent Advisory Systems
DOWNLOAD
Author : Balaji Adusupalli
language : en
Publisher: Deep Science Publishing
Release Date : 2025-05-07
Artificial Intelligence Driven Transformation In Insurance Security Devops And Intelligent Advisory Systems written by Balaji Adusupalli and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
The insurance industry is undergoing a radical transformation driven by the exponential growth of artificial intelligence (AI) and digital technologies. Once viewed as a traditional, paperwork-heavy sector, insurance is now embracing intelligent systems to streamline operations, enhance customer experiences, and manage risks more effectively. This book, AI-Driven Transformation in Insurance: Security, DevOps, and Intelligent Advisory Systems, explores the dynamic convergence of AI, cybersecurity, DevOps, and next-generation advisory platforms that are reshaping the insurance landscape. In a world increasingly defined by real-time data and digital interactions, insurance providers must adapt rapidly to stay competitive. AI is no longer a future ambition—it is a present-day imperative. From underwriting automation and fraud detection to personalized policy recommendations and predictive analytics, AI is enabling insurers to make smarter decisions faster. However, this transformation also introduces complex challenges related to data security, system integration, and regulatory compliance. This book takes a holistic view of the AI-powered insurance ecosystem. It discusses how secure DevOps practices—often referred to as DevSecOps—ensure that continuous integration and delivery pipelines are not only agile but also robust against evolving cyber threats. Additionally, it examines the rise of intelligent advisory systems that leverage natural language processing, machine learning, and contextual awareness to provide proactive and highly customized customer support. Through real-world case studies, industry insights, and a blend of technical and strategic analysis, readers will gain a deeper understanding of the tools and frameworks driving this new era of digital insurance. Whether you're a technology leader, insurance executive, data scientist, or researcher, this book offers a timely and practical guide to navigating the AI revolution in insurance. As the boundaries between technology and insurance continue to blur, the future belongs to those who can harness AI not just to automate, but to innovate. We invite you to explore the road ahead—where intelligent systems are not just supporting insurance operations, but redefining them entirely.
Automating The Modern Enterprise A Practical Guide To Devops Ci Cd 2025
DOWNLOAD
Author : Srikanth Srinivas, Prof (Dr) M Seetharama Prasad
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Automating The Modern Enterprise A Practical Guide To Devops Ci Cd 2025 written by Srikanth Srinivas, Prof (Dr) M Seetharama Prasad and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
PREFACE In today’s fast-paced, technology-driven world, businesses must innovate and adapt quickly to stay competitive. The traditional approaches to software development and deployment, which often involve extended release cycles, manual interventions, and siloed teams, are no longer sufficient to meet the demands of modern enterprises. As organizations increasingly rely on technology to fuel growth and deliver value to customers, the need for agility, speed, and continuous improvement has never been more critical. This is where DevOps and Continuous Integration/Continuous Deployment (CI/CD) come into play. “Automating the Modern Enterprise: A Practical Guide to DevOps, CI/CD” is designed to provide a comprehensive roadmap for implementing DevOps practices and CI/CD pipelines in modern enterprises. This book offers a firsthand, practical approach to automation, aimed at helping organizations break down traditional silos, streamline development processes, and accelerate the delivery of high-quality software. Whether you are an IT leader, a developer, a DevOps engineer, or a business executive, this guide will equip you with the knowledge and tools to harness the power of automation and transform your organization’s software development and delivery process. DevOps is not just a set of tools or practices; it is a cultural shift that encourages collaboration, transparency, and shared responsibility across development, operations, and security teams. By automating key parts of the software lifecycle—such as build, testing, deployment, and monitoring—DevOps helps organizations increase productivity, improve quality, and respond to customer needs more quickly. CI/CD, as the cornerstone of DevOps, enables teams to deliver code changes rapidly and reliably, ensuring that software is always in a deployable state. In this book, we explore the full spectrum of DevOps and CI/CD practices, from building and optimizing pipelines to integrating security and monitoring into the process. We provide in-depth discussions of the key principles of DevOps, covering topics like continuous integration, continuous deployment, version control, configuration management, and automated testing. You will also learn how to leverage tools like Jenkins, GitLab, Ansible, Docker, Kubernetes, and many others to automate and streamline your software development and deployment processes. One of the key aspects of successful DevOps implementation is fostering collaboration and communication across teams. We dive into how you can create a culture that embraces change, continuous learning, and shared accountability. We also highlight the importance of incorporating security into every step of the development pipeline—what is often referred to as DevSecOps—ensuring that your automation efforts do not compromise the security of your systems. As enterprises grow and the complexity of their software systems increases, scaling DevOps and CI/CD becomes an essential challenge. This book addresses how to scale automation to meet the demands of large organizations, optimizing pipeline performance, managing infrastructure as code, and ensuring that your DevOps practices evolve with your enterprise’s needs. The transformation to DevOps and CI/CD is not without its challenges. Legacy systems, organizational resistance, and the complexities of integrating diverse tools can slow down progress. However, the benefits of this transformation are undeniable: faster release cycles, higher-quality software, improved collaboration, and enhanced customer satisfaction. This book will provide you with the strategies, tools, and real-world examples needed to overcome these challenges and drive successful DevOps adoption. By the end of this guide, you will have a clear understanding of how to implement and scale DevOps and CI/CD within your organization. You will also have practical knowledge to automate repetitive tasks, optimize workflows, reduce downtime, and empower your teams to deliver value faster. Whether you are just beginning your DevOps journey or looking to refine your existing practices, this book will serve as an invaluable resource for transforming your enterprise into a fully automated, agile, and modern software-driven organization. Welcome to the future of enterprise automation. Let us get started. Authors
Smart Education And Sustainable Learning Environments In Smart Cities
DOWNLOAD
Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-02-13
Smart Education And Sustainable Learning Environments In Smart Cities written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Education categories.
As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments becomes essential for academic achievement and the preparation of future generations. Smart Education and Sustainable Learning Environments in Smart Cities explores the intersection of education and smart technology. It investigates how smart technologies can be used to create inclusive, innovative, and environmentally sustainable educational ecosystems within the context of modern urban development. This book covers topics such as learning styles, data science, and cloud technology, and is a useful resource for computer engineers, educators, academicians, urban developers, policymakers, government officials, and researchers.
The Future Of Devops Unlocking Potential With Al Ml And Automation
DOWNLOAD
Author : Sandeep Belidhe
language : en
Publisher: RK Publication
Release Date : 2024-12-25
The Future Of Devops Unlocking Potential With Al Ml And Automation written by Sandeep Belidhe and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-25 with Computers categories.
The Future of DevOps: Unlocking Potential with AI, ML, and Automation the transformative impact of artificial intelligence and machine learning on DevOps practices. It intelligent automation, predictive analytics, and AI-driven decision-making to enhance software development, deployment, and monitoring. The examines emerging trends, challenges, and the evolving role of AI in accelerating DevOps workflows, improving efficiency, and ensuring reliability. With insights into cutting-edge tools and methodologies, it provides a roadmap for organizations to harness AI-driven DevOps for innovation, scalability, and competitive advantage in an increasingly digital world.
Ai Innovations For Transforming Food Production
DOWNLOAD
Author : Whig, Pawan
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Ai Innovations For Transforming Food Production written by Whig, Pawan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Technology & Engineering categories.
Artificial Intelligence (AI) revolutionizes the food production industry, offering innovative solutions to meet the global demand for safe, nutritious, and sustainably produced food. From precision agriculture and smart irrigation systems to automated harvesting and supply chain analytics, AI technologies enhance productivity while minimizing environmental impact. Machine learning algorithms enable farmers to make data-driven decisions by predicting crop yields, detecting plant diseases, and optimizing resource usage. AI-driven robotics and sensors improve efficiency and reduce labor costs in farming and food processing. As these innovations evolve, AI may transform the entire food system, making it more resilient, efficient, and capable. AI Innovations for Transforming Food Production explores the revolutionary role AI plays across various aspects of the food industry. It delves into how AI technologies, including machine learning, robotics, and data analytics, transform food production, supply chains, quality control, and sustainability. This book covers topics such as crop yield production, hydroponics, and precision agriculture, and is a useful resource for business owners, engineers, academicians, researchers, and agriculture scientists.
Artificial Intelligence For Cloud Native Software Engineering
DOWNLOAD
Author : Chelliah, Pethuru Raj
language : en
Publisher: IGI Global
Release Date : 2025-05-07
Artificial Intelligence For Cloud Native Software Engineering written by Chelliah, Pethuru Raj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions. Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Vertical Optimization Ai Agents In The Dev Ops Era
DOWNLOAD
Author : Dr Aadam Quraishi
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-02-08
Vertical Optimization Ai Agents In The Dev Ops Era written by Dr Aadam Quraishi and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Computers categories.
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.