[PDF] Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025 - eBooks Review

Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025


Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025
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Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025


Ai Enhanced Observability Intelligent Performance Monitoring For Cloud Native Architectures 2025
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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



Cloud Native Anti Patterns


Cloud Native Anti Patterns
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Author : Gerald Bachlmayr
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-03-28

Cloud Native Anti Patterns written by Gerald Bachlmayr and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Computers categories.


Build a resilient, cloud-native foundation by tackling common anti-patterns head on with practical strategies, cultural shifts, and technical fixes across AWS, Azure, and GCP Key Features Identify common anti-patterns in agile cloud-native delivery and learn to adopt good habits Learn high-performing cloud-native delivery with expert strategies and real-world examples Get prescriptive guidance on how to spot and remediate anti-patterns in your organization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSuccessfully transitioning to a cloud-native architecture demands more than just new tools—it requires a change in mindset. Written by cloud transformation experts Gerald Bachlmayr, Aiden Ziegelaar, Alan Blockley, and Bojan Zivic—this guide shows you how to identify and remediate cloud anti-patterns, manage FinOps, meet security goals, and understand cloud storage, thus steering your organization to become truly cloud native. You will develop the skills necessary to navigate the cloud native landscape, irrespective of the platform: AWS. Azure or GCP! You’ll start by exploring the events that shaped our understanding of the modern cloud-native stack. Through practical examples, you’ll learn how to implement a suitable governance model, adopt FinOps and DevSecOps best practices, and create an effective cloud native roadmap. You will identify common anti-patterns and refactor them into best practices. The book examines potential pitfalls and suggests solutions that enhance business agility. You’ll also gain expert insights into observability, migrations, and testing of cloud native solutions.What you will learn Get to grips with the common anti-patterns of building on and migrating to the cloud Identify security pitfalls before they become insurmountable Acknowledge governance challenges before they become problematic Drive cultural change in your organization for cloud adoption Explore examples across the SDLC phases and technology layers Minimize the operational risk of releases using powerful deployment strategies Refactor or migrate a solution from an anti-pattern to a best practice design Effectively adopt supply chain security practices Who this book is for This book is for cloud professionals with any level of experience who want to deepen their knowledge and guide their organization toward cloud-native success. It is Ideal for cloud architects, engineers (cloud, software, data, or network), cloud security experts, technical leaders, and cloud operations personnel. While no specific expertise is required, a background in architecture, software development, data, networks, operations, or governance will be helpful.



Securing Cloud Containers


Securing Cloud Containers
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Author : Sina Manavi
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-22

Securing Cloud Containers written by Sina Manavi 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 2025-07-22 with Computers categories.


A practical and up-to-date roadmap to securing cloud containers on AWS, GCP, and Azure Securing Cloud Containers: Building and Running Secure Cloud-Native Applications is a hands-on guide that shows you how to secure containerized applications and cloud infrastructure, including Kubernetes. The authors address the most common obstacles and pain points that security professionals, DevOps engineers, and IT architects encounter in the development of cloud applications, including industry standard compliance and adherence to security best practices. The book provides step-by-step instructions on the strategies and tools you can use to develop secure containers, as well as real-world examples of secure cloud-native applications. After an introduction to containers and Kubernetes, you'll explore the architecture of containerized applications, best practices for container security, security automation tools, the use of artificial intelligence in cloud security, and more. Inside the book: An in-depth discussion of implementing a Zero Trust model in cloud environments Additional resources, including a glossary of important cloud and container security terms, recommendations for further reading, and lists of useful platform-specific tools (for Azure, Amazon Web Services, and Google Cloud Platform) An introduction to SecDevOps in cloud-based containers, including tools and frameworks designed for Azure, GCP, and AWS platforms An invaluable and practical resource for IT system administrators, cloud engineers, cybersecurity and SecDevOps professionals, and related IT and security practitioners, Securing Cloud Containers is an up-to-date and accurate roadmap to cloud container security that explains the “why” and “how” of securing containers on the AWS, GCP, and Azure platforms.



Artificial Intelligence For Cloud Native Software Engineering


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.



Intelligent Continuous Security


Intelligent Continuous Security
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Author : Marc Hornbeek
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-06-09

Intelligent Continuous Security written by Marc Hornbeek and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.


With AI in the hands of cybercriminals, traditional security controls and response mechanisms are swiftly moving toward obsolescence. Intelligent Continuous Security (ICS) helps organizations stay toe-to-toe with adversaries, replacing outmoded defenses with a cohesive strategy that unifies security across the entire software lifecycle. Author Marc Hornbeek outlines the principles, strategies, and real-world implementations of ICS, including how to break down silos between DevSecOps and SecOps, how to measure and optimize security effectiveness, and how AI can transform everything from security operations to regulatory compliance. Security professionals, DevOps engineers, IT leaders, and decision-makers will learn how to move toward adaptive, self-healing defenses to keep pace with emerging risks. Align security strategies with organizational goals Implement AI-assisted Continuous Security across teams Select and integrate AI-powered tools for vulnerability detection, automated compliance checks, and real-time incident response Transition from reactive to proactive security to continuously adapt to emerging threats Apply best practices to mitigate risks and avoid breaches



Automating The Modern Enterprise A Practical Guide To Devops Ci Cd 2025


Automating The Modern Enterprise A Practical Guide To Devops Ci Cd 2025
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Author : Srikanth Srinivas, Prof (Dr) M Seetharama Prasad
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
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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



Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025


Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025
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Author : Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025 written by Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh 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 In an age where artificial intelligence is no longer a futuristic concept but a fundamental driver of digital transformation, the convergence of AI and platform architecture is redefining how we innovate, interact, and transact. The rise of AI-native digital platforms marks a profound shift in technological design, one that transcends traditional boundaries and paves the way for adaptive, intelligent, and autonomous systems capable of responding to evolving market demands in real time. This book, AI-Native Digital Platforms: Architecting the Next Wave of Commerce and Intelligence, is an exploration of the emerging paradigm in which artificial intelligence is embedded at the very core of digital platform design. It aims to offer a comprehensive framework for understanding how AI reshapes platform architecture—across data pipelines, microservices, edge computing, cloud orchestration, API ecosystems, and user experience personalization. From dynamic supply chains to intelligent customer engagement, AI-native platforms are becoming the backbone of future-ready enterprises. We begin with foundational concepts of digital platforms and AI technologies, then progress through architectural principles, design patterns, case studies, and strategic implementation models. The book addresses key challenges such as ethical AI governance, scalability, interoperability, security, and data sovereignty, all while emphasizing real-world applications across e-commerce, fintech, healthcare, smart cities, and industrial automation. Intending for technology leaders, architects, data scientists, product strategists, and academic researchers, this book bridges the gap between theoretical AI capabilities and practical platform engineering. It reflects a multi-disciplinary perspective shaped by innovations in machine learning, distributed systems, human-centered design, and business intelligence. As AI-native platforms become central to global digital economies, the decisions we make today will influence the societal, ethical, and economic fabric of tomorrow. This book is a guide and a call to action—for building platforms that are not only intelligent but also inclusive, sustainable, and resilient. Authors



Digital Certificates Protocols Management And Security


Digital Certificates Protocols Management And Security
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-28

Digital Certificates Protocols Management And Security written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Computers categories.


"Digital Certificates: Protocols, Management, and Security" "Digital Certificates: Protocols, Management, and Security" offers a comprehensive exploration of the foundational technologies, operational strategies, and evolving standards underpinning digital certificate ecosystems. Beginning with the mathematical and cryptographic principles behind asymmetric cryptography, the book meticulously details the structure and use of X.509 certificates and the major standards and protocols that define identity and trust on the modern internet. Readers gain a deep understanding of how digital certificates assure authenticity, enable secure communication, and support critical infrastructure from SSL/TLS and code signing to IoT and document validation. The book thoroughly examines the certificate authority ecosystem and diverse trust models essential to Public Key Infrastructure (PKI), providing expert insights into CA operations, cross-certification, governance policies, certificate pinning, and incident response protocols. An entire section is devoted to the lifecycle management of certificates—encompassing secure key generation, enrollment workflows, policy enforcement, automated renewal, and revocation—at both enterprise scale and within cloud-native environments. Attention is given to operational resiliency and integration with modern DevOps, incident detection, and high-availability architectures. Addressing both current threats and future challenges, the book delivers practical frameworks for threat modeling, mis-issuance mitigation through transparency logs, and quantum-safe migration strategies. Legal, regulatory, and compliance considerations are discussed in a global context, with guidance on data privacy, incident accountability, and cross-jurisdictional trust. Concluding with coverage of cutting-edge developments—such as decentralized PKI, blockchain approaches, privacy-preserving architectures, and automated management for edge computing—the book is indispensable for security professionals, architects, and policymakers seeking to master the complexities and drive the future of digital trust infrastructure.



From Code To Consciousness Leveraging Ai In Software Development


From Code To Consciousness Leveraging Ai In Software Development
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Author : Bhanuprakash Madupati
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2025-03-30

From Code To Consciousness Leveraging Ai In Software Development written by Bhanuprakash Madupati 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 2025-03-30 with Young Adult Nonfiction categories.


From Code to Consciousness explores the transformative role of artificial intelligence in reshaping software development, from automating routine tasks to enabling autonomous, self-improving systems. This comprehensive guide delves into the foundational AI technologies—machine learning, deep learning, and natural language processing—and their applications in coding, debugging, testing, and deployment. Through real-world case studies and cutting-edge research, the book examines the ethical, security, and practical challenges of AI-driven development while envisioning a future where human creativity and machine intelligence collaborate seamlessly. Whether you're a developer, engineer, or tech enthusiast, this book offers invaluable insights into the evolving landscape of software engineering and the profound implications of AI's rise from mere code to near-cognitive capabilities. Key Themes: AI's impact on coding, testing, and DevOps Ethical dilemmas and security risks in AI-driven development The future of autonomous software and human-AI collaboration Case studies from healthcare, fintech, and e-commerce Ideal for: Software professionals, AI researchers, and anyone curious about the intersection of technology and consciousness.



Advanced Information Networking And Applications


Advanced Information Networking And Applications
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Author : Leonard Barolli
language : en
Publisher: Springer Nature
Release Date : 2025-04-22

Advanced Information Networking And Applications written by Leonard Barolli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-22 with Computers categories.


Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.