Artificial Intelligence For Cloud Native Software Engineering
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Artificial Intelligence For Cloud Native Software Engineering
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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.
Cloud Native Architecture Cna And Artificial Intelligence Ai For The Future Of Software Engineering The Principles Patterns Platforms And Practices
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Author :
language : en
Publisher: Academic Press
Release Date : 2026-03-01
Cloud Native Architecture Cna And Artificial Intelligence Ai For The Future Of Software Engineering The Principles Patterns Platforms And Practices written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-03-01 with Computers categories.
Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices
Cloud Native Architecture And Design
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Author : Shivakumar R Goniwada
language : en
Publisher: Apress
Release Date : 2021-10-01
Cloud Native Architecture And Design written by Shivakumar R Goniwada and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Computers categories.
Build enterprise-grade cloud-native systems and learn all about cloud-native architecture and design. This book provides extensive in-depth details of patterns, tools, techniques, and processes with plenty of examples. Cloud Native Architecture and Design begins by explaining the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. The book progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn’t possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence. Finally, you need your cloud-native applications to run efficiently; this section covers the details of containerization, orchestration, and virtualization in the public, private, and hybrid clouds. After reading this book, you will have familiarity with the many concepts related to cloud-native and understand how to design and develop a successful cloud-native application. Technologies and practices may change over time, but the book lays a strong foundation on which you can build successful cloud-native systems. What You Will Learn Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems Gain the techniques and concepts you need to adapt to design a cloud-native application Use assessment techniques and tools for IT modernization Apply cloud-native engineering principles to the culture of automation and culture of innovation Harness the techniques and tools to run your cloud-native applications and automate infrastructure Operate your cloud-native applications by using AI techniques and zero operation techniques Who This Book Is For Software architects, leaders, developers, engineers, project managers, and students.
Engineering The Future Ai Augmented Devsecops And Cloud Native Platforms For The Enterprise 2025
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Author : Author:1-Chandrakanth Devarakadra Anantha, Author:2-Dr Priyanka Kaushik
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Engineering The Future Ai Augmented Devsecops And Cloud Native Platforms For The Enterprise 2025 written by Author:1-Chandrakanth Devarakadra Anantha, Author:2-Dr Priyanka Kaushik and has been published by RAVEENA PRAKASHAN OPC PVT LTD 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 technology has fundamentally altered how enterprises operate, with a significant shift towards cloud-native platforms and AI-powered tools. The convergence of artificial intelligence (AI) and DevSecOps (Development, Security, and Operations) has brought about a new era in enterprise technology, one that emphasizes automation, scalability, and security in every layer of the development lifecycle. “Engineering the Future: AI-Augmented DevSecOps and Cloud-Native Platforms for the Enterprise” explores this transformative intersection, offering a comprehensive guide to understanding and leveraging AI and cloud-native technologies to drive innovation, efficiency, and security within the enterprise ecosystem. At its core, this book delves into how AI can augment DevSecOps practices to foster a more secure, agile, and efficient development pipeline. By integrating AI into the DevSecOps process, organizations can achieve enhanced automation, proactive threat detection, and real-time insights, making it easier to develop and deploy secure applications in increasingly complex cloud environments. AI-powered solutions can detect vulnerabilities, optimize workflows, and automate compliance checks, allowing development teams to focus on innovation without sacrificing security. As businesses embrace cloud-native architectures, where microservices and containerization enable greater flexibility and scalability, the need for AI to facilitate seamless operations across distributed systems becomes ever more critical. The enterprise landscape has witnessed an unprecedented shift towards cloud-first strategies, which have revolutionized the way applications are developed, deployed, and maintained. Cloud-native platforms enable enterprises to accelerate their digital transformation, providing the agility to rapidly scale and innovate while ensuring robust security measures are embedded into every stage of the development lifecycle. Cloud-native technologies, such as Kubernetes, containerization, and serverless architectures, have become essential building blocks for modern enterprise applications. However, with this new paradigm come complex challenges in managing infrastructure, maintaining security, and ensuring smooth integration across diverse environments. This book offers insights into how AI-augmented DevSecOps practices can address these challenges, enabling organizations to stay ahead in an increasingly competitive and fast-paced business world. The synergy between AI and cloud-native platforms is particularly evident in the areas of continuous integration and continuous delivery (CI/CD), where AI-driven tools can enhance deployment efficiency and reduce human errors. By automating repetitive tasks, AI-powered systems free up valuable developer time, allowing them to focus on higher-value activities that directly contribute to business growth. Furthermore, AI’s predictive capabilities enable proactive decision-making, identifying potential bottlenecks, vulnerabilities, or failures before they affect production environments. This is especially important as enterprises adopt multi-cloud and hybrid cloud strategies, where seamless integration, monitoring, and security across various cloud platforms are critical to maintaining operational continuity. Security is at the forefront of every conversation in the world of DevSecOps, particularly as cyber threats become more sophisticated and persistent. AI plays a vital role in strengthening security frameworks by automating threat detection, identifying abnormal patterns, and responding to incidents in real-time. The integration of AI into security processes within DevSecOps workflows helps organizations address vulnerabilities faster and more efficiently, reducing the window of opportunity for attackers. This book examines how AI can enhance traditional security measures, enabling organizations to secure their cloud-native applications against ever-evolving threats. As enterprises continue to evolve in the digital age, the role of AI in augmenting DevSecOps and cloud-native platforms will only grow more pivotal. Organizations that embrace these technologies will be better positioned to innovate at scale while ensuring their applications remain secure and resilient. This book is designed for IT leaders, product managers, developers, and security professionals who are seeking to navigate the complexities of AI, DevSecOps, and cloud-native technologies. Whether you are looking to integrate AI into your DevSecOps pipeline, adopt cloud-native architectures, or enhance your enterprise’s security posture, “Engineering the Future” provides the necessary tools, frameworks, and strategies to succeed in this rapidly evolving landscape. In the pages that follow, you will gain a deeper understanding of how AI can drive automation and intelligence in DevSecOps practices, how cloud-native platforms are transforming enterprise IT operations, and how organizations can seamlessly integrate these technologies to build the secure, scalable, and agile applications of tomorrow. Welcome to the future of enterprise technology—one where AI and cloud-native platforms work hand in hand to drive innovation, security, and operational excellence. Authors
Agentic Intelligence And Cloud Powered Supply Chains Transforming Wholesale Banking And Insurance With Big Data And Artificial Intelligence
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Author : Avinash Pamisetty
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-22
Agentic Intelligence And Cloud Powered Supply Chains Transforming Wholesale Banking And Insurance With Big Data And Artificial Intelligence written by Avinash Pamisetty 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 2025-04-22 with Computers categories.
In an era defined by exponential technological advancement, the convergence of artificial intelligence, big data, and cloud computing is reshaping the global economic landscape. Industries long regarded as traditional—wholesale, banking, and insurance—are undergoing rapid transformation as they adapt to the demands of a hyper-connected, data-driven world. This book explores the transformative potential of agentic intelligence—AI systems capable of autonomous decision-making—and the pivotal role of cloud-powered supply chains in driving efficiency, resilience, and innovation across sectors. As businesses face increasingly complex market dynamics, the ability to harness real-time data and deploy intelligent systems is no longer optional; it is essential for survival and growth. From the optimization of procurement and logistics in wholesale markets to risk modeling and fraud detection in banking, and from personalized policy offerings to automated claims processing in insurance, the fusion of advanced analytics and AI is unlocking unprecedented opportunities. Cloud infrastructure, meanwhile, enables scalability, security, and global accessibility, empowering organizations to reimagine traditional operations and deliver value at a new scale. This book serves as a comprehensive guide for leaders, practitioners, and scholars seeking to understand the strategic and operational implications of these emerging technologies. Through case studies, conceptual frameworks, and forward-looking analysis, we offer insights into how agentic intelligence and cloud ecosystems are not only enhancing business performance but also redefining the future of enterprise. As we stand on the brink of the next digital revolution, the pages that follow will illuminate the pathways through which technology can be harnessed not just to keep pace with change, but to lead it.
Boosting Software Development Using Machine Learning
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Author : Tirimula Rao Benala
language : en
Publisher: Springer Nature
Release Date : 2025-05-23
Boosting Software Development Using Machine Learning written by Tirimula Rao Benala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications. This book incorporates data-driven strategies across the entire software development life cycle, from requirements elicitation and design to coding, testing, and deployment. It illustrates the evolution from traditional frameworks to agile and DevOps methodologies. The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection. These techniques have significantly improved software development efficiency, predictability, and project management effectiveness. While remarkable progress has been made, much remains to be done in this evolving area. This edited book is a timely effort toward advancing the field and promoting interdisciplinary collaboration in addressing ethical, security, and technical challenges.
Advances In Software Engineering A Handbook
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Author : Dr. Sitanath Biswas
language : en
Publisher: Chyren Publication
Release Date : 2025-02-08
Advances In Software Engineering A Handbook written by Dr. Sitanath Biswas and has been published by Chyren Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Antiques & Collectibles categories.
Ai Personalization Equity And The Future Of Learning
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Author : Wang, Viktor
language : en
Publisher: IGI Global
Release Date : 2025-07-10
Ai Personalization Equity And The Future Of Learning written by Wang, Viktor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Education categories.
The integration of AI into education has redefined how learning is delivered and measured. There is great potential for AI to drive a more personalized learning experience while also tailoring instructions to a person’s individuals needs. While there are promises to enhance engagement and achievement, it also raises critical questions about equity and access. As we envision the future of learning, it is essential to explore how AI can be harnessed not only to support personalization but also to bridge educational gaps, ensuring that innovation benefits all learners regardless of background or circumstance. AI, Personalization, Equity, and the Future of Learning explores the transformation of AI in education and its impacts on personalized and equitable learning. This book provides a critical lens on equity and access, encouraging the development of inclusive AI-driven solutions that benefit diverse learners worldwide. Covering topics such as academic research, speech recognition tools, and workforce readiness, this book is an excellent resource for researchers, educators, administrators, policymakers, instructional designers, academicians, and more.
Cloud Native Computing
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Author : Pethuru Raj
language : en
Publisher: John Wiley & Sons
Release Date : 2022-10-25
Cloud Native Computing written by Pethuru Raj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-25 with Computers categories.
Explore the cloud-native paradigm for event-driven and service-oriented applications In Cloud-Native Computing: How to Design, Develop, and Secure Microservices and Event-Driven Applications, a team of distinguished professionals delivers a comprehensive and insightful treatment of cloud-native computing technologies and tools. With a particular emphasis on the Kubernetes platform, as well as service mesh and API gateway solutions, the book demonstrates the need for reliability assurance in any distributed environment. The authors explain the application engineering and legacy modernization aspects of the technology at length, along with agile programming models. Descriptions of MSA and EDA as tools for accelerating software design and development accompany discussions of how cloud DevOps tools empower continuous integration, delivery, and deployment. Cloud-Native Computing also introduces proven edge devices and clouds used to construct microservices-centric and real-time edge applications. Finally, readers will benefit from: Thorough introductions to the demystification of digital transformation Comprehensive explorations of distributed computing in the digital era, as well as reflections on the history and technological development of cloud computing Practical discussions of cloud-native computing and microservices architecture, as well as event-driven architecture and serverless computing In-depth examinations of the Akka framework as a tool for concurrent and distributed applications development Perfect for graduate and postgraduate students in a variety of IT- and cloud-related specialties, Cloud-Native Computing also belongs in the libraries of IT professionals and business leaders engaged or interested in the application of cloud technologies to various business operations.
Cloud Native Transformation
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Author : Pini Reznik
language : en
Publisher: O'Reilly Media
Release Date : 2019-12-05
Cloud Native Transformation written by Pini Reznik and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-05 with Computers categories.
In the past few years, going cloud native has been a big advantage for many companies. But it’s a tough technique to get right, especially for enterprises with critical legacy systems. This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch. By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud. Technical managers and architects will learn best practices for taking on a successful company-wide transformation. Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems. You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes. You’ll learn: What cloud native means and why enterprises are so interested in it Common barriers and pitfalls that have affected other companies (and how to avoid them) Context-specific patterns for a successful cloud native transformation How to implement a safe, evolutionary cloud native approach How companies addressed root causes and misunderstandings that hindered their progress Case studies from real-world companies that have succeeded with cloud native transformations