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| automated root cause analysis: Root Cause Analysis Robert J. Latino, Mark A. Latino, Kenneth Latino, Kenneth C. Latino, 2002-04-29 Undesirable outcomes, chronic failure, incidents, and accidents The cost of such events to corporations is high, generally adding up to tens and hundreds of millions of dollars in accepted losses. Why accept these losses? What if you could understand why these errors occur and eliminate chronic events from occurring altogether? Root Cause |
| automated root cause analysis: Root Cause Analysis Mark A. Latino, Robert J. Latino, Kenneth C. Latino, 2019-06-26 This book comprehensively outlines what a holistic and effective Root Cause Analysis (RCA) system looks like. From the designing of the support infrastructure to the measuring of effectiveness on the bottom-line, this book provides the blueprint for making it happen. While traditionally RCA is viewed as a reactive tool, the authors will show how it can be applied proactively to prevent failures from occurring in the first place. RCA is a key element of any successful Reliability Engineering initiative. Such initiatives are comprised of equipment, process and human reliability foundations. Human reliability is critical to the success of a true RCA approach. This book explores the anatomy of a failure (undesirable outcome) as well as a potential failure (high risks). Virtually all failures are triggered by errors of omission or commission by human beings. The methodologies described in this book are applicable to any industry because the focus is on the human being's ability to think through why things go wrong, not on the industry or the nature of the failure. This book correlates reliability to safety as well as human performance improvement efforts. The author has provided a healthy balance between theory and practical application, wrapping up with case studies demonstrating bottom-line results. Features Outlines in detail every aspect of an effective RCA ‘system’ Displays appreciation for the role of understanding the physics of a failure as well as the human and system’s contribution Demonstrates the role of RCA in a comprehensive Asset Performance Management (APM) system Explores the correlation between Reliability Engineering and Safety Integrates the concepts of Human Performance Improvement, Learning Teams, and Human Error Reduction approaches into RCA |
| automated root cause analysis: The Art of Application Performance Testing Ian Molyneaux, 2009-01-23 This practical book provides a step-by-step approach to testing mission-critical applications for scalability and performance before they're deployed -- a vital topic to which other books devote one chapter, if that. Businesses today live and die by network applications and web services. Because of the increasing complexity of these programs, and the pressure to deploy them quickly, many professionals don't take the time to ensure that they'll perform well and scale effectively. The Art of Application Performance Testing explains the complete life cycle of the testing process, and demonstrates best practices to help you plan, gain approval for, coordinate, and conduct performance tests on your applications. With this book, you'll learn to: Set realistic performance testing goals Implement an effective application performance testing strategy Interpret performance test results Cope with different application technologies and architectures Use automated performance testing tools Test traditional local applications, web-based applications, and web services (SOAs) Recognize and resolves issues that are often overlooked in performance tests Written by a consultant with 30 years of experience in the IT industry and over 12 years experience with performance testing, this easy-to-read book is illustrated with real-world examples and packed with practical advice. The Art of Application Performance Testing thoroughly explains the pitfalls of an inadequate testing strategy and offers you a robust, structured approach for ensuring that your applications perform well and scale effectively when the need arises. Ian has maintained a vendor-agnostic methodology beautifully in this material. The metrics and graphs, along with background information provided in his case studies, eloquently convey to the reader, 'Methodology above all, tools at your discretion...' Ian's expertise shines through throughout the entire reading experience.-- Matt St. Onge, Enterprise Solution Architect, HCL Technologies America / Teradyne |
| automated root cause analysis: Root Cause Analysis, Second Edition Duke Okes, 2019-02-06 This best-seller can help anyone whose role is to try to find specific causes for failures. It provides detailed steps for solving problems, focusing more heavily on the analytical process involved in finding the actual causes of problems. It does this using figures, diagrams, and tools useful for helping to make our thinking visible. This increases our ability to see what is truly significant and to better identify errors in our thinking. In the sections on finding root causes, this second edition now includes: more examples on the use of multi-vari charts; how thought experiments can help guide data interpretation; how to enhance the value of the data collection process; cautions for analyzing data; and what to do if one cant find the causes. In its guidance on solution identification, biomimicry and TRIZ have been added as potential solution identification techniques. In addition, the appendices have been revised to include: an expanded breakdown of the 7 Ms, which includes more than 50 specific possible causes; forms for tracking causes and solutions, which can help maintain alignment of actions; techniques for how to enhance the interview process; and example responses to problem situations that the reader can analyze for appropriateness. |
| automated root cause analysis: The Art of Agile Development James Shore, Shane Warden, 2008 For those considering Extreme Programming, this book provides no-nonsense advice on agile planning, development, delivery, and management taken from the authors' many years of experience. While plenty of books address the what and why of agile development, very few offer the information users can apply directly. |
| automated root cause analysis: Medical Device Use Error Michael Wiklund, Andrea Dwyer, Erin Davis, 2016-01-06 Medical Device Use Error: Root Cause Analysis offers practical guidance on how to methodically discover and explain the root cause of a use error-a mistake-that occurs when someone uses a medical device. Covering medical devices used in the home and those used in clinical environments, the book presents informative case studies about the use errors |
| automated root cause analysis: The Application of Artificial Intelligence Zoltán Somogyi, 2021-03-11 This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence. |
| automated root cause analysis: Principles of Computer Systems and Network Management Dinesh Chandra Verma, 2010-01-23 Systems Management is emerging as the predominant area for computer science in the enterprise, with studies showing that the bulk (up to 80%) of an enterprise IT budget is spent on management/operational issues and is the largest piece of the expenditure. This textbook provides an overview of the field of computer systems and network management. Systems management courses are being taught in different graduate and undergraduate computer science programs, but there are no good books with a comprehensive overview of the subject. This text book will provide content appropriate for either an undergraduate course (junior or senior year) or a graduate course in systems management. |
| automated root cause analysis: School Leader's Guide to Root Cause Analysis Paul Preuss, 2013-09-27 Don’t jump from problem to solution without first investigating root causes. This book helps you more accurately focus on school improvement issues, so you can avoid wasting precious time and resources. It is clearly written, contains lots of real examples, and is presented in a style and format designed for the non-expert. It will help you make decisions which will improve learning for all students. |
| automated root cause analysis: Multivariate Data Analysis for Root Cause Analyses and Time-of-Flight Secondary Ion Mass Spectrometry Danica Heller-Krippendorf, 2019-10-31 Danica Heller-Krippendorf develops concepts and approaches optimizing the applicability of MVA on data sets from an industrial context. They enable more time-efficient MVA of the respective ToF‐SIMS data. Priority is given to two main aspects by the author: First, the focus is on strategies for a more time-efficient collection of the input data. This includes the optimal selection of the number of replicate measurements, the selection of input data and guidelines for the selection appropriate data preprocessing methods. Second, strategies for more efficient analysis of MVA results are presented. About the Author: Danica Heller-Krippendorf did her research and dissertation at the University of Siegen, Germany, in collaboration with a German analytical service company. Now she is engineer in analytics at a DAX company. |
| automated root cause analysis: Site Reliability Engineering Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff, 2016-03-23 The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use |
| automated root cause analysis: Automated Defect Prevention Dorota Huizinga, Adam Kolawa, 2007-08-24 This book describes an approach to software management based on establishing an infrastructure that serves as the foundation for the project. This infrastructure defines people roles, necessary technology, and interactions between people and technology. This infrastructure automates repetitive tasks, organizes project activities, tracks project status, and seamlessly collects project data to provide measures necessary for decision making. Most importantly, this infrastructure sustains and facilitates the improvement of human-defined processes. The methodology described in the book, which is called Automated Defect Prevention (ADP) stands out from the current software landscape as a result of two unique features: its comprehensive approach to defect prevention, and its far-reaching emphasis on automation. ADP is a practical and thorough guide to implementing and managing software projects and processes. It is a set of best practices for software management through process improvement, which is achieved by the gradual automation of repetitive tasks supported and sustained by this flexible and adaptable infrastructure, an infrastructure that essentially forms a software production line. In defining the technology infrastructure, ADP describes necessary features rather than specific tools, thus remaining vendor neutral. Only a basic subset of features that are essential for building an effective infrastructure has been selected. Many existing commercial and non-commercial tools support these, as well as more advanced features. Appendix E contains such a list. |
| automated root cause analysis: Lord of the Files Russell Ovans, 2011-08 Software engineering is a social activity; forget that and your career is lost... Starting with the premise that a good software engineer is necessarily both a good programmer and a good person, this unique new book on the culture of programmers emphasizes the importance of empathy, introspection, and the acceptance of oneself and others on the journey to quality software. Based on the author's extensive experience teaching software engineering, working as a computer programmer, and leading a social game startup from inception to acquisition, Lord of the Files is sensitive to the frailties of the human condition and full of innovative survival and success strategies for students, programmers, managers, and entrepreneurs. Contents: I, Programmer The Software Engineer Life Cycle Your Favourite Methodology is eXtremely Gay White Trash Software Engineer What the Bleep Should We Know ? Nobody Ever Got Laid For Buying IBM Equipment All We Really Need To Know about Software Engineering Is in the Film Office Space A Seven-Layer Hierarchy of Careers in Computer Science What's Your Secret Sauce? Pandemonium Reigned |
| automated root cause analysis: Novel Industry 4.0 Technologies and Applications Nikolaos Papakostas, Carmen Constantinescu, Dimitris Mourtzis, 2020-11-25 The Industry 4.0 paradigm has led to the creation of new opportunities for taking advantage of a set of diverse technologies in the manufacturing domain. This book touches on a series of advanced technologies and research fields, including Internet of Things, Augmented and Virtual Reality, Machine Learning, Advanced Robotics, Additive Manufacturing, System and Process Simulation, Computer-Aided Design/Engineering/Manufacturing/Process Planning Systems as well as Product Lifecycle Management Platforms. The topics covered span a series of diverse areas related to a) product design and development, b) manufacturing systems and operations, c) process engineering, and d) Industry 4.0 technologies review and realization. |
| automated root cause analysis: Automated Diagnostics and Analytics for Buildings Barney L. Capehart, Michael R Brambley, 2021-01-07 With the widespread availability of high-speed, high-capacity microprocessors and microcomputers with high-speed communication ability, and sophisticated energy analytics software, the technology to support deployment of automated diagnostics is now available, and the opportunity to apply automated fault detection and diagnostics to every system and piece of equipment in a facility, as well as for whole buildings, is imminent. The purpose of this book is to share information with a broad audience on the state of automated fault detection and diagnostics for buildings applications, the benefits of those applications, emerging diagnostic technology, examples of field deployments, the relationship to codes and standards, automated diagnostic tools presently available, guidance on how to use automated diagnostics, and related issues. |
| automated root cause analysis: Root Cause Analysis in Engineering Design , 2024-07-21 Engineering design is an intricate process that demands precision, innovation, and a keen understanding of the underlying factors that contribute to both success and failure. Introduction to Root Cause Analysis for Engineering Design is a comprehensive guide that equips engineers, designers, and quality professionals with the tools and methodologies needed to identify, analyze, and rectify the fundamental causes of problems within engineering systems. Key Features: In-Depth Exploration of RCA: Delve into the core principles and methodologies of Root Cause Analysis (RCA). Understand how RCA extends beyond merely addressing symptoms to uncover the root causes of failures, ensuring sustainable and long-lasting solutions. Historical and Theoretical Foundations: Gain insights into the historical evolution of RCA, influenced by pioneers like W. Edwards Deming and Kaoru Ishikawa. Explore the theoretical underpinnings that have shaped modern RCA practices. Practical Methodologies: Learn step-by-step processes for implementing various RCA methodologies, including Fishbone Diagrams, 5 Whys, Fault Tree Analysis (FTA), and Failure Mode and Effects Analysis (FMEA). Each method is detailed with clear instructions and practical examples. Tools and Techniques: Discover a range of statistical tools, simulation methods, and software solutions that enhance the RCA process. From Pareto Charts to advanced Big Data Analytics, this book provides a toolkit for effective problem-solving. Human Factors: Understand the critical role of human error in engineering failures. Learn techniques for identifying and mitigating human factors to improve safety and reliability in design. Implementation Strategies: Explore strategies for building an RCA culture within engineering teams. Learn about training and development programs, collaborative RCA processes, and effective communication and reporting strategies. Advanced Topics: Stay ahead of the curve with discussions on integrating RCA with Design for Six Sigma (DFSS), Agile, and Lean methodologies. Learn about the application of RCA in sustainable and eco-friendly designs, and the future role of predictive analysis and preventative measures. Challenges and Future Trends: Navigate common pitfalls in RCA and learn strategies to avoid them. Explore emerging technologies like AI, IoT, and AR/VR that are shaping the future of RCA. Understand how RCA will evolve to meet the demands of modern engineering design. Real-World Applications: Benefit from case studies and examples that illustrate RCA in action. See how effective root cause analysis can drive continuous improvement, innovation, and excellence in engineering design. Why This Book? Introduction to Root Cause Analysis for Engineering Design is an essential resource for anyone involved in the engineering design process. Whether you are an experienced engineer looking to refine your skills or a student eager to learn the fundamentals, this book provides a thorough and practical guide to mastering RCA. Equip yourself with the knowledge and tools to create more reliable, efficient, and innovative engineering solutions. |
| automated root cause analysis: Distributed Tracing in Practice Austin Parker, Daniel Spoonhower, Jonathan Mace, Ben Sigelman, Rebecca Isaacs, 2020-04-13 Since most applications today are distributed in some fashion, monitoring their health and performance requires a new approach. Enter distributed tracing, a method of profiling and monitoring distributed applications—particularly those that use microservice architectures. There’s just one problem: distributed tracing can be hard. But it doesn’t have to be. With this guide, you’ll learn what distributed tracing is and how to use it to understand the performance and operation of your software. Key players at LightStep and other organizations walk you through instrumenting your code for tracing, collecting the data that your instrumentation produces, and turning it into useful operational insights. If you want to implement distributed tracing, this book tells you what you need to know. You’ll learn: The pieces of a distributed tracing deployment: instrumentation, data collection, and analysis Best practices for instrumentation: methods for generating trace data from your services How to deal with (or avoid) overhead using sampling and other techniques How to use distributed tracing to improve baseline performance and to mitigate regressions quickly Where distributed tracing is headed in the future |
| automated root cause analysis: Maintenance Decision Making Liliane Pintelon, Frank Van Puyvelde, 2006 Over the last decades maintenance management has evolved from a somewhat neglected function into a full-fledged business function in the industry as well as in the service sector.This book provides a structured approach to maintenance management. It covers maintenance strategy decisions, resource management, assessment system design, etc. Decision support models and tools in these areas are discussed from the theoretical point of view and illustrated by numerous examples and case studies.Due to its concept the book can be interesting for students as well as practitioners.This book is the successor of Maintenance Management (2000), which gave an introduction in the field. |
| automated root cause analysis: Computerworld , 2001-05-14 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| automated root cause analysis: Ultra Lean Sales Antti Leijala, 2019-10-04 Whether you are a small-town entrepreneur or a large international organisation, Ultra Lean Sales offers a new way of sales for all companies. Ultra Lean Sales offers a solution for three discontinuities which happen at the same time: 1) the buying behaviours of customers are changing fast, 2) the analytic tools are developing and becoming one with artificial intelligence, and 3) Lean methods are also used in the improvement of sales processes, in addition to production and service processes. The only certain thing is the speed of change! In the center of everything is continuous learning and credible analyzing of root causes. How can we learn from won/lost offers and mistakes made in previous offers and utilize the analyzed information we have in order to improve the offer win rate? In short, Ultra Lean Sales answers the following questions: 1) How do I win an offer? 2) How do I learn from offers that were lost? 3) How do I eliminate my weaknesses? 4) How do I stand out from my competitors? In order for you to make a winning offer, you need to learn from other similar offers - in real-time. This is possible with Lean sales by utilizing the specialised Ultra Lean Sales dashboard. In addition to independent reading, this book is also used as learning material in Ultra Lean Sales training courses. More information about the training and e-learning opportunities can be found at: www.ultraleanbusiness.com. If we adopt a discipline and provide accurate information, Ultra Lean Sales will have substantial impact (A Harvard Case) comments Vatche Beujekian, customer team head, Nokia. |
| automated root cause analysis: Threat Modeling Izar Tarandach, Matthew J. Coles, 2020-11-13 Threat modeling is one of the most essential--and most misunderstood--parts of the development lifecycle. Whether you're a security practitioner or a member of a development team, this book will help you gain a better understanding of how you can apply core threat modeling concepts to your practice to protect your systems against threats. Contrary to popular belief, threat modeling doesn't require advanced security knowledge to initiate or a Herculean effort to sustain. But it is critical for spotting and addressing potential concerns in a cost-effective way before the code's written--and before it's too late to find a solution. Authors Izar Tarandach and Matthew Coles walk you through various ways to approach and execute threat modeling in your organization. Explore fundamental properties and mechanisms for securing data and system functionality Understand the relationship between security, privacy, and safety Identify key characteristics for assessing system security Get an in-depth review of popular and specialized techniques for modeling and analyzing your systems View the future of threat modeling and Agile development methodologies, including DevOps automation Find answers to frequently asked questions, including how to avoid common threat modeling pitfalls |
| automated root cause analysis: Middleware 2008 Valérie Issarny, Richard E. Schantz, 2008-11-23 This volume contains the proceedings of the International Middleware Con- rence, held in Leuven, Belgium during December 1–4, 2008. This year marked the ninth rendition of this annual conference in its current format initially - opted in 1998, aspiring to serve as the premier venue focusing exclusively on important middleware results. A lot has happened over the intervening 10-year span. Middleware has become pervasive in an increasinglyinterconnected world, with its concepts now securely embedded in the notional architectures driving forward the information age. The conference continues to be a focal point for important new initiatives and results for new generations of middleware. With each succeeding year, it has become an even more competitive publishing venue, further extending its selectivity this year as well. Of the 117 submissions, - ly 21 were able to receive acceptance invitations, for an acceptance rate of less than18%. Competitiveindeed. Additionally,thesesubmissionscontinuetocome from all over the globe, spanning authors from 23 countries. A truly world-wide endeavor. But other things have also changed as we turn the corner on the ?rst decade of this conference. In many ways, middleware has achieved signi?cant success where it really counts: in terms of technical innovations, advanced capabilities, successful ideas, and ?elded systems which permeate society, industry, gov- nment, and academia. With this success comes maturity. |
| automated root cause analysis: DevOps Automation Cookbook Ekambar Kumar Singirikonda, 2024-05-27 Automate, scale, and secure your DevOps workflows like a pro KEY FEATURES ● Master automation tools like Terraform, Ansible, Git, Jenkins, and more. ● Practical recipes for CI/CD pipelines, IaC, testing, and security. ● Leverage best practices to optimize and scale your DevOps processes. DESCRIPTION In the fast-paced world of software development, embracing DevOps practices is key to achieving rapid, reliable deployments. The DevOps Automation Cookbook equips you with a comprehensive toolkit to automate and streamline your workflows, from infrastructure provisioning to continuous integration and deployment. This book teaches readers how to automate infrastructure setup and deployment using IaC tools like Terraform and Ansible. It covers essential DevOps practices such as version control with Git, continuous integration with Jenkins or Travis, and automated testing with Selenium. The book also explains containerization with Docker and orchestration with Kubernetes for efficient app deployment. It highlights DevSecOps, focusing on security with Puppet, and explores using TeamCity for enforcing compliance policies in the DevOps workflow. Whether you are a seasoned DevOps practitioner or just starting your journey, the DevOps Automation Cookbook provides the insights and hands-on skills you need to take your automation game to the next level. Discover how to optimize your processes, scale your infrastructure, and deliver high-quality software faster than ever before. WHAT YOU WILL LEARN ● Automate infrastructure provisioning with Terraform and Ansible. ● Implement version control and collaboration with Git. ● Set up efficient CI/CD pipelines using Jenkins. ● Leverage containers with Docker and orchestrate with Kubernetes. ● Integrate automated testing and security into DevOps workflows. ● Apply configuration management using Puppet and Chef. WHO THIS BOOK IS FOR This book is for DevOps engineers, system administrators, and software developers seeking to automate infrastructure provisioning, deployment, and security within their workflows. TABLE OF CONTENTS 1. Introduction 2. Understanding Infrastructure as Code 3. Provisioning with Terraform 4. Version Control with Git 5. Introduction to Continuous Integration with Jenkins and Travis 6. Automated Testing in DevOps 7. Test Automation with Selenium 8. Understanding Containers and Orchestration 9. Deployment with Docker and Kubernetes 10. Introduction to Security in DevOps 11. Puppet and Security 12. Configuration Management with Chef 13. Ensuring Compliance with TeamCity 14. Implications and Future Directions |
| automated root cause analysis: Web Engineering Sven Casteleyn, Gustavo Rossi, Marco Winckler, 2014-09-16 This book constitutes the refereed proceedings of the 14th International Conference on Web Engineering, ICWE 2014, held in Toulouse, France, in July 2014. The 20 full research papers, 13 late breaking result papers, 15 poster papers, and 4 contributions to the PhD symposium presented were carefully reviewed and selected from 100 submissions. Moreover 3 tutorials and 3 workshops are presented. The papers focus on six research tracks, namely cross-media and mobile Web applications, HCI and the Web, Modelling and Engineering Web applications, quality aspects of Web applications, social Web applications, Web applications composition and mashups. |
| automated root cause analysis: Logistics in Transition Carlo Secchi, Alessandro Gili, 2024-10-17 International cooperation is essential for fostering global connectivity and building resilient logistics systems. Geopolitical shifts and climate change present significant challenges that could disrupt the efficient operation of these systems. In the face of global instability, diversification and redundancy in transportation systems and modes are vital, with supply security forming the backbone of the global economy's smooth functioning. How can the resilience of value chains be bolstered amidst geopolitical pressures while navigating these dual transitions? How can logistics adapt to and capitalize on the new wave of potentially protectionist industrial policies? What strategies can be employed to mitigate risks, particularly for Europe, Italy, and the businesses involved? |
| automated root cause analysis: Innovative Mobile and Internet Services in Ubiquitous Computing Leonard Barolli, Fatos Xhafa, Nadeem Javaid, Tomoya Enokido, 2018-06-07 This book presents the latest research findings, methods and development techniques related to Ubiquitous and Pervasive Computing (UPC) as well as challenges and solutions from both theoretical and practical perspectives with an emphasis on innovative, mobile and internet services. With the proliferation of wireless technologies and electronic devices, there is a rapidly growing interest in Ubiquitous and Pervasive Computing (UPC). UPC makes it possible to create a human-oriented computing environment where computer chips are embedded in everyday objects and interact with physical world. It also allows users to be online even while moving around, providing them with almost permanent access to their preferred services. Along with a great potential to revolutionize our lives, UPC also poses new research challenges. |
| automated root cause analysis: Transdisciplinary Engineering: A Paradigm Shift C.-H. Chen, A.C. Trappey, M. Peruzzini, 2017-07-20 Concurrent Engineering is based on the concept that different phases of a product life cycle should be conducted concurrently and initiated as early as possible within the Product Creation Process (PCP). Its main goal is to increase the efficiency and effectiveness of the PCP and reduce errors in the later stages, and to incorporate considerations for the full lifecycle, through-life operations, and environmental issues of the product. It has become the substantive basic methodology in many industries, and the initial basic concepts have matured and become the foundation of many new ideas, methodologies, initiatives, approaches and tools. This book presents the proceedings of the 24th ISPE Inc. International Conference on Transdisciplinary (formerly: Concurrent) Engineering (TE 2017), held in Singapore, in July 2017. The 120 peer-reviewed papers in the book are divided into 16 sections: air transport and traffic operations and management; risk-aware supply chain intelligence; product innovation and marketing management; human factors in design; human engineering; design methods and tools; decision supporting tools and methods; concurrent engineering; knowledge-based engineering; collaborative engineering; engineering for sustainability; service design; digital manufacturing; design automation; artificial intelligence and data analytics; smart systems and the Internet of Things. The book provides a comprehensive overview of recent advances in transdisciplinary concurrent engineering research and applications, and will be of interest to researchers, design practitioners and educators working in the field. |
| automated root cause analysis: Mastering Distributed Tracing Yuri Shkuro, 2019-02-28 Understand how to apply distributed tracing to microservices-based architectures Key FeaturesA thorough conceptual introduction to distributed tracingAn exploration of the most important open standards in the spaceA how-to guide for code instrumentation and operating a tracing infrastructureBook Description Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems. What you will learnHow to get started with using a distributed tracing systemHow to get the most value out of end-to-end tracingLearn about open standards in the spaceLearn about code instrumentation and operating a tracing infrastructureLearn where distributed tracing fits into microservices as a core functionWho this book is for Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters. |
| automated root cause analysis: Advances in Manufacturing IV Justyna Trojanowska, |
| automated root cause analysis: ICSST 2021 Jarnawi Afgani , Bambang Afriadi, Imam Sudarmaji, Dadang Saefuloh, Robbi Rahim , 2022-07-02 The 1st International Conference on Social, Science, and Technology (ICSST) 2021 was organized by Universitas Islam Syekh Yusuf Tangerang. This conference was held on November 25, 2021, in Tangerang, Indonesia. ICSST provides a platform for lecturers, teachers, researchers, and practitioners to share their insights and perspectives related to the theme Transformation of Science and Culture during the Pandemic Era and Afterwards. From the theme above, the detailed sub-theme of the conference was formulated to cover the general theme of education, science, social, and technology. The selected paper presented are then documented in this proceeding book entitled The Proceedings of the 1st International Conference on Social, Science, and Technology, ICSST 2021. This proceeding is expected to provide an insightful perspective and point of view in developing the innovation for overcoming future challenges and obstacles in the field of education, social, science, and technology during the pandemic era and afterward. The success of the conference till the compilation of the articles in this book is definitely the result of the effort of people who contribute and work wholeheartedly. We sincerely appreciate the Steering Committee, Keynote Speakers, Organizing Committee Team, and Participants for their contributions to the conference. Finally, we hope that The Proceeding of 1st ICSST 2021- Universitas Islam Syekh Yusuf Tangerang, Indonesia will be useful for all participants and readers to present the innovative novel in the future. See you all in the next ICSST. |
| automated root cause analysis: Enterprise Digitization Patterns Srikanth Narasimhan, Jagadish Chundury, 2018-01-25 Digitization and Artificial Intelligence are at the center of every board room conversation these days. Most CEOs, senior management and boards are less worried about their traditional competitors. The impact of disruption through digitization is real and quantifiable – 52% of Fortune 500 companies have been replaced since 2000. The task of enabling new digital business models gets exponentially harder as the complexity of systems are greater. Most CIOs, CTOs are struggling with when to start, what to do, and how to meet the expectations of their CEOs and Boards. Design patterns help narrow this gap by documenting a well-working solution to a problem that occurs repeatedly in a given context. “Enterprise Digitization Patterns” breaks down digital disruption enablers and delivers a cookbook across three key pillars – Digital Experience, Enterprise IoT and Autonomous Systems. The book provides reference architectures, design patterns, maturity models and practical case studies to drive new forms of customer value, business outcomes and business models. The design patterns are distinct or relevant to modern-day enterprise digital platforms that enables enterprise digital business models. |
| automated root cause analysis: Automating API Delivery Ikenna Nwaiwu, 2024-07-30 Improve speed, quality, AND cost by automating your API delivery process! Automating API Delivery shows you how to strike the perfect balance between speed and usability by applying DevOps automation principles to your API design and delivery process. It lays out a clear path to making both the organizational and technical changes you need to deliver high-quality APIs both rapidly and reliably. In Automating API Delivery you’ll learn how to: Enforce API design standards with linting Automate breaking-change checks to control design creep Ensure accuracy of API reference documents Centralize API definition consistency checks Automate API configuration deployment Conduct effective API design reviews Author Ikenna Nwaiwu provides comprehensive guidance on implementing APIOps in your organization. He carefully walks through the technical steps and introduces the essential open-source tools, with practical advice and insights from his years of experience. You’ll benefit from his personal tips for avoiding common pitfalls and challenges of moving to automated API delivery. Foreword by Melissa van der Hecht. About the technology Create high quality, consistent, and fast-to-market APIs by automating the development process! This innovative book shows you how to apply established Continuous Delivery and DevOps principles along the whole API lifecycle, transforming a collection of individual tasks into a smooth, manageable pipeline that supports automated testing, iterative improvement, and reliable documentation. About the book Automating API Delivery introduces the tools and strategies behind APIOps. You’ll discover tools and process improvements that give you important quick wins, including API governance using the Spectral API linter and establishing an efficient CI/CD pipeline with GitHub Actions. You’ll even discover how to use the powerful OpenAPI Generator to automatically create client and server code from your API definitions. What's inside Check for breaking changes with oasdiff Create SDKs using OpenAPI Generator Maintain accurate documentation with API conformance tests Deploy API gateway configuration with GitOps About the reader Experience building RESTful APIs required. About the author Ikenna Nwaiwu is Principal Consultant at Ikenna Consulting, specializing in automating API governance. The technical editor on this book was Marjukka Niinioja. Table of Contents 1 What is APIOps? 2 Leaning into APIOps: Problem-solving and leading improvements 3 API linting: Automating API consistency 4 Breaking change checks: Managing API evolution 5 API design review: Checking for what you cannot automate 6 API conformance: Generating code and API definitions 7 API conformance: Schema testing 8 CI/CD for API artifacts 1: Source-stage governance controls 9 CI/CD for API artifacts 2: Build-stage and API configuration deployment 10 More on API consistency: Custom linting and security checks 11 Monitoring and analytics: Measuring API product metrics Appendixes A Value stream mapping icons B Installing API linting and OpenAPI diff tools C Introduction to JSON Pointer D Tools for API conformance and analytics E Docker and Kubernetes |
| automated root cause analysis: 12th International Munich Chassis Symposium 2021 Peter Pfeffer, 2022-04-18 The increasing automation of driving functions and the electrification of powertrains present new challenges for the chassis with regard to complexity, redundancy, data security, and installation space. At the same time, the mobility of the future will also require entirely new vehicle concepts, particularly in urban areas. The intelligent chassis must be connected, electrified, and automated in order to be best prepared for this future. Contents Driving Simulators.- Innovative Chassis Systems.- Automated Driving and Racing.- New Methods and Systems.- Suspension and Ride Comfort.- All-Wheel Steering.- Future Brake Systems and Testing Technology.- Innovations in Tires and Wheels. Target audiences Automotive engineers and chassis specialists as well as students looking for state-of-the-art information regarding their field of activity - Lecturers and instructors at universities and universities of applied sciences with the main subject of automotive engineering - Experts, researchers and development engineers of the automotive and the supplying industry. Publisher ATZ live stands for top quality and a high level of specialist information and is part of Springer Nature, one of the leading publishing groups worldwide for scientific, educational and specialist literature. Partner TÜV SÜD is an international leading technical service organisation catering to the industry, mobility and certification segment. |
| automated root cause analysis: High Performance SRE Anchal Arora Mishra, 2024-01-29 How to effectively transition your career into the SRE field KEY FEATURES ● Understand the basics of site reliability engineering to ensure that systems run smoothly. ● Learn advanced automation methods for efficient and effective operations. ● Enhance performance and scalability through optimization techniques. DESCRIPTION This book is a must-read, providing insights into SRE principles for beginners and experienced professionals. Study the fundamentals and evolution of SRE, gaining a solid foundation for success in today's tech-centric world. Starting with the fundamentals, it expands into the evolution of SRE from traditional IT roles, laying a solid foundation for understanding its pivotal role in today’s tech-driven world. The core of the book focuses on practical strategies and advanced techniques. Readers will learn about automating tasks, effective incident management, setting realistic service level objectives, and managing error budgets. These topics are crucial for maintaining system reliability while fostering innovation. Additionally, the book emphasizes performance optimization and scalability, ensuring that systems run smoothly and adapt and grow effectively. High performance SRE emphasizes more than just technical skills. It encourages teamwork, a blame-free culture, and continuous learning, empowering SRE professionals for operational excellence and organizational success. WHAT YOU WILL LEARN ● Understand core SRE principles and adapt them to various environments. ● Automate routine tasks for efficiency and error reduction. ● Efficiently manage and respond to incidents, reducing downtime. ● Set and manage SLOs and error budgets for balanced development. ● Optimize system performance and ensure scalability in operations. WHO THIS BOOK IS FOR This book caters to students, application developers, software engineers, system administrators, and anyone who wishes to understand how to have a rewarding career in the field of SRE. TABLE OF CONTENTS 1. Introduction to Site Reliability Engineer 2. DevOps to Site Reliability Engineering 3. Monitoring 4. Incident Management and Risk Mitigation 5. Error Budgets 6. SLI/SLO/SLA 7. Capacity Planning 8. On-call and First-response 9. RCA and Post-mortem 10. Chaos Engineering 11. Artificial Intelligence for Site Reliability Engineering 12. Case Studies |
| automated root cause analysis: Big Breaches Neil Daswani, Moudy Elbayadi, 2021-06-02 The cybersecurity industry has seen an investment of over $45 billion in the past 15 years. Hundreds of thousands of jobs in the field remain unfilled amid breach after breach, and the problem has come to a head. It is time for everyone—not just techies—to become informed and empowered on the subject of cybersecurity. In engaging and exciting fashion, Big Breaches covers some of the largest security breaches and the technical topics behind them such as phishing, malware, third-party compromise, software vulnerabilities, unencrypted data, and more. Cybersecurity affects daily life for all of us, and the area has never been more accessible than with this book. You will obtain a confident grasp on industry insider knowledge such as effective prevention and detection countermeasures, the meta-level causes of breaches, the seven crucial habits for optimal security in your organization, and much more. These valuable lessons are applied to real-world cases, helping you deduce just how high-profile mega-breaches at Target, JPMorganChase, Equifax, Marriott, and more were able to occur. Whether you are seeking to implement a stronger foundation of cybersecurity within your organization or you are an individual who wants to learn the basics, Big Breaches ensures that everybody comes away with essential knowledge to move forward successfully. Arm yourself with this book’s expert insights and be prepared for the future of cybersecurity. Who This Book Is For Those interested in understanding what cybersecurity is all about, the failures have taken place in the field to date, and how they could have been avoided. For existing leadership and management in enterprises and government organizations, existing professionals in the field, and for those who are considering entering the field, this book covers everything from how to create a culture of security to the technologies and processes you can employ to achieve security based on lessons that can be learned from past breaches. |
| automated root cause analysis: Automated Software Testing Elfriede Dustin, Jeff Rashka, John Paul, 1999 A guide to the various tools, techniques, and methods available for automated testing of software under development. Using case studies of successful industry implementations, the book describes incorporation of automated testing into the development process. In particular, the authors focus on the Automated Test Lifecycle Methodology, a structured process for designing and executing testing that parallels the Rapid Application Development methodology commonly used. Annotation copyrighted by Book News, Inc., Portland, OR |
| automated root cause analysis: ICT Analysis and Applications Simon Fong, Nilanjan Dey, Amit Joshi, 2022-11-05 This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective. |
| automated root cause analysis: Integrating Artificial Intelligence with DevOps Sumanth Tatineni, 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. |
| automated root cause analysis: Open-Source Security Operations Center (SOC) Alfred Basta, Nadine Basta, Waqar Anwar, Mohammad Ilyas Essar, 2024-11-20 A comprehensive and up-to-date exploration of implementing and managing a security operations center in an open-source environment In Open-Source Security Operations Center (SOC): A Complete Guide to Establishing, Managing, and Maintaining a Modern SOC, a team of veteran cybersecurity practitioners delivers a practical and hands-on discussion of how to set up and operate a security operations center (SOC) in a way that integrates and optimizes existing security procedures. You’ll explore how to implement and manage every relevant aspect of cybersecurity, from foundational infrastructure to consumer access points. In the book, the authors explain why industry standards have become necessary and how they have evolved – and will evolve – to support the growing cybersecurity demands in this space. Readers will also find: A modular design that facilitates use in a variety of classrooms and instructional settings Detailed discussions of SOC tools used for threat prevention and detection, including vulnerability assessment, behavioral monitoring, and asset discovery Hands-on exercises, case studies, and end-of-chapter questions to enable learning and retention Perfect for cybersecurity practitioners and software engineers working in the industry, Open-Source Security Operations Center (SOC) will also prove invaluable to managers, executives, and directors who seek a better technical understanding of how to secure their networks and products. |
| automated root cause analysis: Network World , 2001-05-28 For more than 20 years, Network World has been the premier provider of information, intelligence and insight for network and IT executives responsible for the digital nervous systems of large organizations. Readers are responsible for designing, implementing and managing the voice, data and video systems their companies use to support everything from business critical applications to employee collaboration and electronic commerce. |
Automated Case Information
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What Is Automation? | IBM
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ARCUS: Symbolic Root Cause Analysis of Exploits in …
automated framework that performs root cause analysis over the execution flagged by the end-host monitor. ARCUS works by testing “what if” questions to detect vulnerable states, sys …
CloudVision CUE | Overview - Arista Networks
Inferencing engine for automated root cause analysis of problems faced by clients. Automatic Packet Capture CV-CUE proactively captures packet traces to help diagnose problems. The …
Framework of automated value stream mapping for lean
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The Power Derived from Automating Root Cause Analysis
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Root Cause Analysis 101 Guidebook - EASE
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Using Machine Learning to Automate Debug of Simulation
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Automated Root Cause Analysis in Production Support
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Framework For Root Cause Analysis And Corrective Actions*
The Joint Commission’s Framework for Root Cause Analysis and Action Plan provides an example of a comprehensive systematic analysis. The framework and its 24 analysis …
LOGAI: A LIBRARY FOR LOG ANALYTICS AND INTELLIGENCE
to cater to automated log analysis. Though, most of the initial work used either domain specific rules or heuristics, with the proliferation of AI and ML, more and more data-driven techniques …
A Guide to Failure Analysis for the Oil and Gas Industry - EWI
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Automated root cause analysis and decision making with reduced human intervention has potential to signifficantly improve manufacturing efficiency of semiconductor manufac-turing. …
