Effective Feature Management

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Effective Feature Management

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Author : John Kodumal
language : en
Publisher:
Release Date : 2018

Effective Feature Management written by John Kodumal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computer software categories.

Feature Management With Launchdarkly

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Author : Michael Gillett
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-10-29

Feature Management With Launchdarkly written by Michael Gillett 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 2021-10-29 with Computers categories.

Make code deployments completely safe and change your application in production in real time with LaunchDarkly using percentage-based rollouts, kill switches, and A/B and multi-variant testing Key FeaturesLearn how to work with LaunchDarkly to turn features on and off within your production applicationsExplore the ways in which feature management can change how software is built and how teams workMaster every aspect of LaunchDarkly's functionality to test in production and learn from your usersBook Description Over the past few years, DevOps has become the de facto approach for designing, building, and delivering software. Feature management is now extending the DevOps methodology to allow applications to change on demand and run experiments to validate the success of new features. If you want to make feature management happen, LaunchDarkly is the tool for you. This book explains how feature management is key to building modern software systems. Starting with the basics of LaunchDarkly and configuring simple feature flags to turn features on and off, you'll learn how simple functionality can be applied in more powerful ways with percentage-based rollouts, experimentation, and switches. You'll see how feature management can change the way teams work and how large projects, including migrations, are planned. Finally, you'll discover various uses of every part of the tool to gain mastery of LaunchDarkly. This includes tips and tricks for experimentation, identifying groups and segments of users, and investigating and debugging issues with specific users and feature flag evaluations. By the end of the book, you'll have gained a comprehensive understanding of LaunchDarkly, along with knowledge of the adoption of trunk-based development workflows and methods, multi-variant testing, and managing infrastructure changes and migrations. What you will learnGet to grips with the basics of LaunchDarkly and feature flagsRoll out a feature to a percentage or group of usersFind out how to experiment with multi-variant and A/B testingDiscover how to adopt a trunk-based development workflowExplore methods to manage infrastructure changes and migrationsGain an in-depth understanding of all aspects of the LaunchDarkly toolWho this book is for This book is for developers, quality assurance engineers and DevOps engineers. This includes individuals who want to decouple the deployment of code from the release of a feature, run experiments in production, or understand how to change processes to build and deploy software. Software engineers will also benefit from learning how feature management can be used to improve products and processes. A basic understanding of software is all that you need to get started with this book as it covers the basics before moving on to more advanced topics.

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Author :
language : en
Publisher: "O'Reilly Media, Inc."
Release Date :

written by 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 with categories.

Ai Native Software Delivery

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Author : Nick Durkin
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-08-01

Ai Native Software Delivery written by Nick Durkin 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 2025-08-01 with Computers categories.

AI coding assistants are helping teams create software faster than ever. But to turn that speed into real innovation, organizations must go beyond writing code and deliver software quickly, securely, and reliably. While AI-assisted coding is now mainstream, what happens after the code is written is still catching up. AI-Native Software Delivery is your practical guide to applying AI across the entire delivery lifecycle, from commit to production and beyond. Written for software engineers, DevOps leaders, and tech executives, this book explores how leading teams are using AI to streamline CI/CD, manage cloud costs, strengthen security, and eliminate operational toil. The book also uncovers the risks of brittle automation and shows you how to avoid building systems that don't scale. You'll learn how to: Integrate AI across delivery workflows to accelerate time to value Avoid common pitfalls of fragmented automation strategies Adopt DevSecOps principles that scale with your team Apply real-world practices in AIOps, chaos engineering, and SRE Future-proof your delivery with intelligent pipelines and feedback loops Whether you're evolving a legacy delivery process or designing a new platform, this guide will help you lead your organization into the AI-native future of software delivery.

Managing Requirements Knowledge

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Author : Walid Maalej
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-03

Managing Requirements Knowledge written by Walid Maalej and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-03 with Computers categories.

Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and the solution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained on a daily basis. The knowledge needed to define and implement requirements is immense, often interdisciplinary and constantly expanding. It typically includes engineering, management and collaboration information, as well as psychological aspects and best practices. This book discusses systematic means for managing requirements knowledge and its owners as valuable assets. It focuses on potentials and benefits of “lightweight,” modern knowledge technologies such as semantic Wikis, machine learning, and recommender systems applied to requirements engineering. The 17 chapters are authored by some of the most renowned researchers in the field, distilling the discussions held over the last five years at the MARK workshop series. They present novel ideas, emerging methodologies, frameworks, tools and key industrial experience in capturing, representing, sharing, and reusing knowledge in requirements engineering. While the book primarily addresses researchers and graduate students, practitioners will also benefit from the reports and approaches presented in this comprehensive work.

Effective Feature Writing

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Author : Clay Schoenfeld
language : en
Publisher:
Release Date : 1960

Effective Feature Writing written by Clay Schoenfeld and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1960 with Authorship categories.

Operating Continuously

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Author : Edith Harbaugh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-04-10

Operating Continuously written by Edith Harbaugh 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 2023-04-10 with Computers categories.

Continuous delivery doesn't stop with deployment. Modern software teams rely on an emerging set of best practices postdeployment to continuously improve their software. With this practical guide, CTOs, software architects, and senior engineering leaders will learn what these practices are and how to apply them to their existing operations. Author John Kodumal, cofounder and CTO at LaunchDarkly, provides actionable insights into setting up and maintaining a smooth operational process postdeployment. You'll learn new approaches to releasing software, controlling systems at runtime, and measuring the impact of change. Armed with this knowledge, you can easily anticipate the next planning and building phase, feeding back into the software development lifecycle. This book helps you: Understand why mature incident management processes are an essential part of the CI/CD story Use the tools and processes necessary to measure the impact of change to production systems Learn how to use canary launches and feature flags to release faster with less risk Set up effective incident management systems to reduce the impact of broken changes Explore an emerging class of techniques that extend the practice beyond deployment Use experimentation and impact analysis to continuously improve

Effective Multi Agency Partnerships

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Author : Rita Cheminais
language : en
Publisher: SAGE
Release Date : 2009-04-01

Effective Multi Agency Partnerships written by Rita Cheminais and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-01 with Education categories.

Offering practical advice and guidance on how to establish and maintain effective multi-agency partnership working in your setting, this book will tell you how to meet the Every Child Matters outcomes for children and young people. It clarifies the skills and knowledge required in order to form productive partnerships, and shows you how to set up and maintain good collaborative practice.

Digital Product Management

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Author : Boon Kee Lee
language : en
Publisher: CRC Press
Release Date : 2025-04-25

Digital Product Management written by Boon Kee Lee and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.

Focusing on operational excellence, this book will take readers through the practicalities of product development, market launch, and ongoing product support. Building on the strategic foundation from Volume 1, Digital Product Management: Strategic Planning and Market Opportunity, this volume emphasizes executing product strategies in real-world contexts. The book covers key methodologies such as agile development, product lifecycle management, and data-driven decision-making. Topics include marketing strategies, sales channel management, customer engagement, and optimizing digital experiences. It also delves into product analytics, customer retention, and feature adoption. With chapters on building a product operating model and scaling product operations, the volume emphasizes how organizations can drive continuous improvement and ensure alignment across teams. Ethical leadership and continuous innovation are also explored, highlighting the critical role of ethics in digital product management. This book is an essential resource for product managers looking to refine their skills in execution, cross-functional collaboration, and operational growth as well as for professionals aiming to combine strategy with practical delivery. It is particularly useful for those responsible for managing the development, launch, and support of digital products, ensuring products not only meet market needs but also evolve with customer expectations.

Feature Engineering For Machine Learning And Data Analytics

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Author : Guozhu Dong
language : en
Publisher: CRC Press
Release Date : 2018-03-14

Feature Engineering For Machine Learning And Data Analytics written by Guozhu Dong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-14 with Business & Economics categories.

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.