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Accelerating Software Quality

Author : Eran Kinsbruner
Publisher : Independently Published
ISBN 13 :
Total Pages : 357 pages
Book Rating : 4.6/5 (711 download)

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Book Synopsis Accelerating Software Quality by : Eran Kinsbruner

Download or read book Accelerating Software Quality written by Eran Kinsbruner and published by Independently Published. This book was released on 2020-08-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Accelerating Software Quality: Machine Learning and Artificial Intelligence in the Age of DevOps" is a complete asset for software developers, testers, and managers that are on their journey to a more mature DevOps workflow, and struggle with better automation and data-driven decision making. DevOps is a mature process across the entire market, however, with existing Non-AI/ML technologies and models, it comes short in expediting release cycle, identifying productivity gaps and addressing them. This book, that was implemented by myself with the help of leaders from the DevOps and test automation space, is covering topics from basic introduction to AI and ML in software development and testing, implications of AI and ML on existing apps, processes, and tools, practical tips in applying commercial and open-source AI/ML tools within existing tool chain, chat-bots testing, visual based testing using AI, automated security scanning for vulnerabilities, automated code reviews, API testing and management using AI/ML, reducing effort and time through test impact analysis (TIA), robotic process automation (RPA), AIOps for smarter code deployments and production defects prevention, and many more.When properly leveraging such tools, DevOps teams can benefit from greater code quality and functional and non-functional test automation coverage. This increases their release cycle velocity, reduces noise and software waste, and enhances their app quality.The book is divided into 3 main sections: *Section 1 covers the fundamentals of AI and ML in software development and testing. It includes introductions, definitions, 101 for testing AI-Based applications, classifications of AI/ML and defects that are tied to AI/ML, and more.*Section 2 focuses on practical advises and recommendations for using AI/ML based solutions within software development activities. This section includes topics like visual AI test automation, AI in test management, testing conversational AI applications, RPA benefits, API testing and much more.*Section 3 covers the more advanced and future-looking angles of AI and ML with projections and unique use cases. Among the topics in this section are AI and ML in logs observability, AIOps benefits to an entire DevOps teams, how to maintain AI/ML test automation, Test impact analysis with AI, and more.The book is packed with many proven best practices, real life examples, and many other open source and commercial solution recommendations that are set to shape the future of DevOps together with ML/AI

Integrating Artificial Intelligence with DevOps

Author : Sumanth Tatineni
Publisher : Libertatem Media Private Limited
ISBN 13 : 8197138214
Total Pages : 251 pages
Book Rating : 4.1/5 (971 download)

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Book Synopsis Integrating Artificial Intelligence with DevOps by : Sumanth Tatineni

Download or read book Integrating Artificial Intelligence with DevOps written by Sumanth Tatineni and published by Libertatem Media Private Limited. This book was released on 2024-03-15 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI-Driven DevOps Decision-Making: Transforming Software Development Workflows with Intelligent Systems

Author : Sumanth Tatineni
Publisher : Libertatem Media Private Limited
ISBN 13 : 8197138249
Total Pages : 221 pages
Book Rating : 4.1/5 (971 download)

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Book Synopsis AI-Driven DevOps Decision-Making: Transforming Software Development Workflows with Intelligent Systems by : Sumanth Tatineni

Download or read book AI-Driven DevOps Decision-Making: Transforming Software Development Workflows with Intelligent Systems written by Sumanth Tatineni and published by Libertatem Media Private Limited. This book was released on 2024-03-22 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive exploration of the "AI-Driven DevOps Decision-Making" system, a groundbreaking approach that leverages artificial intelligence to optimize decision-making processes within DevOps workflows. Drawing upon the foundational research and patent application, the book delves deep into the innovative methodologies, technical frameworks, and real-world applications of this AI-driven system. Beginning with the conceptual underpinnings of DevOps and the challenges of dynamic software development environments, the book outlines how AI can revolutionize traditional workflows by providing real-time insights, predictive analytics, and adaptive learning capabilities. It provides an in-depth understanding of the core components and algorithms of the system, as well as its practical implementation across different stages of the DevOps lifecycle. Each chapter combines theoretical knowledge with practical insights, supported by case studies and examples that illustrate the tangible benefits of adopting this intelligent decision-making framework. The book also envisions the future of AI in DevOps, highlighting opportunities for innovation and further research in optimizing software development practices. By the end of this book, readers will have a thorough understanding of how to integrate AI-driven decision-making tools within their DevOps environments, ultimately leading to more efficient, agile, and reliable software development processes.

Synergizing AI, DevOps, and Deep Learning: Integrating NLP for Next-Generation Innovations

Author : Venkata Mohit Tamanampudi
Publisher : Libertatem Media Private Limited
ISBN 13 : 8197138257
Total Pages : 207 pages
Book Rating : 4.1/5 (971 download)

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Book Synopsis Synergizing AI, DevOps, and Deep Learning: Integrating NLP for Next-Generation Innovations by : Venkata Mohit Tamanampudi

Download or read book Synergizing AI, DevOps, and Deep Learning: Integrating NLP for Next-Generation Innovations written by Venkata Mohit Tamanampudi and published by Libertatem Media Private Limited. This book was released on 2023-04-12 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the powerful intersection of Artificial Intelligence (AI), DevOps, Natural Language Processing (NLP), and Deep Learning, focusing on how these technologies can be combined to build more efficient, automated, and intelligent systems. It delves into the principles behind AI and DevOps, offering a roadmap for integrating these practices to enable continuous delivery and automation of machine learning models. NLP is highlighted as a critical technology that bridges human-computer interaction, while Deep Learning provides the backbone for powerful, data-driven decision-making systems. Readers will gain practical insights into building scalable systems, utilizing AI-driven DevOps pipelines, and integrating NLP for developing smart, interactive applications. The book will provide real-world examples and step-by-step guides for adopting cutting-edge AI/ML methodologies with the speed and agility of DevOps processes, making it an essential read for data scientists, AI engineers, and DevOps practitioners.

Pragmatic AI

Author : Noah Gift
Publisher : Addison-Wesley Professional
ISBN 13 : 0134863917
Total Pages : 720 pages
Book Rating : 4.1/5 (348 download)

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Book Synopsis Pragmatic AI by : Noah Gift

Download or read book Pragmatic AI written by Noah Gift and published by Addison-Wesley Professional. This book was released on 2018-07-12 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Python for DevOps

Author : Noah Gift
Publisher : O'Reilly Media
ISBN 13 : 1492057665
Total Pages : 506 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for DevOps by : Noah Gift

Download or read book Python for DevOps written by Noah Gift and published by O'Reilly Media. This book was released on 2019-12-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform. Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide. Python foundations, including a brief introduction to the language How to automate text, write command-line tools, and automate the filesystem Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing Cloud computing, infrastructure as code, Kubernetes, and serverless Machine learning operations and data engineering from a DevOps perspective Building, deploying, and operationalizing a machine learning project

Applied Artificial Intelligence

Author : Mariya Yao
Publisher :
ISBN 13 : 9780998289021
Total Pages : 246 pages
Book Rating : 4.2/5 (89 download)

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Book Synopsis Applied Artificial Intelligence by : Mariya Yao

Download or read book Applied Artificial Intelligence written by Mariya Yao and published by . This book was released on 2018-04-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

Your Code as a Crime Scene

Author : Adam Tornhill
Publisher : Pragmatic Bookshelf
ISBN 13 : 1680505203
Total Pages : 289 pages
Book Rating : 4.6/5 (85 download)

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Book Synopsis Your Code as a Crime Scene by : Adam Tornhill

Download or read book Your Code as a Crime Scene written by Adam Tornhill and published by Pragmatic Bookshelf. This book was released on 2015-03-30 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jack the Ripper and legacy codebases have more in common than you'd think. Inspired by forensic psychology methods, you'll learn strategies to predict the future of your codebase, assess refactoring direction, and understand how your team influences the design. With its unique blend of forensic psychology and code analysis, this book arms you with the strategies you need, no matter what programming language you use. Software is a living entity that's constantly changing. To understand software systems, we need to know where they came from and how they evolved. By mining commit data and analyzing the history of your code, you can start fixes ahead of time to eliminate broken designs, maintenance issues, and team productivity bottlenecks. In this book, you'll learn forensic psychology techniques to successfully maintain your software. You'll create a geographic profile from your commit data to find hotspots, and apply temporal coupling concepts to uncover hidden relationships between unrelated areas in your code. You'll also measure the effectiveness of your code improvements. You'll learn how to apply these techniques on projects both large and small. For small projects, you'll get new insights into your design and how well the code fits your ideas. For large projects, you'll identify the good and the fragile parts. Large-scale development is also a social activity, and the team's dynamics influence code quality. That's why this book shows you how to uncover social biases when analyzing the evolution of your system. You'll use commit messages as eyewitness accounts to what is really happening in your code. Finally, you'll put it all together by tracking organizational problems in the code and finding out how to fix them. Come join the hunt for better code! What You Need: You need Java 6 and Python 2.7 to run the accompanying analysis tools. You also need Git to follow along with the examples.

Team Topologies

Author : Matthew Skelton
Publisher : IT Revolution
ISBN 13 : 1942788827
Total Pages : 210 pages
Book Rating : 4.9/5 (427 download)

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Book Synopsis Team Topologies by : Matthew Skelton

Download or read book Team Topologies written by Matthew Skelton and published by IT Revolution. This book was released on 2019-09-17 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.

Generative AI-Powered Assistant for Developers

Author : Behram Irani
Publisher : Packt Publishing Ltd
ISBN 13 : 1835081207
Total Pages : 416 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Generative AI-Powered Assistant for Developers by : Behram Irani

Download or read book Generative AI-Powered Assistant for Developers written by Behram Irani and published by Packt Publishing Ltd. This book was released on 2024-08-30 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Amazon Q Developer to boost productivity and maximize efficiency by accelerating software development life cycle tasks Key Features First book on the market to thoroughly explore all of Amazon Q Developer’s features Gain an understanding of Amazon Q Developer's capabilities across the software development life cycle through real-world examples Build apps with Amazon Q Developer by auto-generating code in various languages within supported IDEs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows. This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You’ll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience. By the end of this book, you’ll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently.What you will learn Understand the importance of generative AI-powered assistants in developers' daily work Enable Amazon Q Developer for IDEs and with AWS services to leverage code suggestions Customize Amazon Q Developer to align with organizational coding standards Utilize Amazon Q Developer for code explanation, transformation, and feature development Understand code references and scan for code security issues using Amazon Q Developer Accelerate building solutions and troubleshooting errors on AWS Who this book is for This book is for coders, software developers, application builders, data engineers, and technical resources using AWS services looking to leverage Amazon Q Developer's features to enhance productivity and accelerate business outcomes. Basic coding skills are needed to understand the concepts covered in this book.

Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Modern Software Engineering

Author : David Farley
Publisher : Addison-Wesley Professional
ISBN 13 : 0137314868
Total Pages : 479 pages
Book Rating : 4.1/5 (373 download)

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Book Synopsis Modern Software Engineering by : David Farley

Download or read book Modern Software Engineering written by David Farley and published by Addison-Wesley Professional. This book was released on 2021-11-16 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve Your Creativity, Effectiveness, and Ultimately, Your Code In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues. Writing for programmers, managers, and technical leads at all levels of experience, Farley illuminates durable principles at the heart of effective software development. He distills the discipline into two core exercises: learning and exploration and managing complexity. For each, he defines principles that can help you improve everything from your mindset to the quality of your code, and describes approaches proven to promote success. Farley's ideas and techniques cohere into a unified, scientific, and foundational approach to solving practical software development problems within realistic economic constraints. This general, durable, and pervasive approach to software engineering can help you solve problems you haven't encountered yet, using today's technologies and tomorrow's. It offers you deeper insight into what you do every day, helping you create better software, faster, with more pleasure and personal fulfillment. Clarify what you're trying to accomplish Choose your tools based on sensible criteria Organize work and systems to facilitate continuing incremental progress Evaluate your progress toward thriving systems, not just more "legacy code" Gain more value from experimentation and empiricism Stay in control as systems grow more complex Achieve rigor without too much rigidity Learn from history and experience Distinguish "good" new software development ideas from "bad" ones Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Artificial Intelligence in Finance

Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492055387
Total Pages : 478 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Artificial Intelligence in Finance by : Yves Hilpisch

Download or read book Artificial Intelligence in Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2020-10-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

Engineering DevOps

Author : Marc Hornbeek
Publisher : Bookbaby
ISBN 13 : 9781543989618
Total Pages : 400 pages
Book Rating : 4.9/5 (896 download)

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Book Synopsis Engineering DevOps by : Marc Hornbeek

Download or read book Engineering DevOps written by Marc Hornbeek and published by Bookbaby. This book was released on 2019-12-06 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an engineering reference manual that explains "How to do DevOps?". It is targeted to people and organizations that are "doing DevOps" but not satisfied with the results that they are getting. There are plenty of books that describe different aspects of DevOps and customer user stories, but up until now there has not been a book that frames DevOps as an engineering problem with a step-by-step engineering solution and a clear list of recommended engineering practices to guide implementors. The step-by-step engineering prescriptions can be followed by leaders and practitioners to understand, assess, define, implement, operationalize, and evolve DevOps for their organization. The book provides a unique collection of engineering practices and solutions for DevOps. By confining the scope of the content of the book to the level of engineering practices, the content is applicable to the widest possible range of implementations. This book was born out of the author's desire to help others do DevOps, combined with a burning personal frustration. The frustration comes from hearing leaders and practitioners say, "We think we are doing DevOps, but we are not getting the business results we had expected." Engineering DevOps describes a strategic approach, applies engineering implementation discipline, and focuses operational expertise to define and accomplish specific goals for each leg of an organization's unique DevOps journey. This book guides the reader through a journey from defining an engineering strategy for DevOps to implementing The Three Ways of DevOps maturity using engineering practices: The First Way (called "Continuous Flow") to The Second Way (called "Continuous Feedback") and finally The Third Way (called "Continuous Improvement"). This book is intended to be a guide that will continue to be relevant over time as your specific DevOps and DevOps more generally evolves.

The DevOps Handbook

Author : Gene Kim
Publisher : IT Revolution
ISBN 13 : 194278807X
Total Pages : 467 pages
Book Rating : 4.9/5 (427 download)

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Book Synopsis The DevOps Handbook by : Gene Kim

Download or read book The DevOps Handbook written by Gene Kim and published by IT Revolution. This book was released on 2016-10-06 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increase profitability, elevate work culture, and exceed productivity goals through DevOps practices. More than ever, the effective management of technology is critical for business competitiveness. For decades, technology leaders have struggled to balance agility, reliability, and security. The consequences of failure have never been greater―whether it's the healthcare.gov debacle, cardholder data breaches, or missing the boat with Big Data in the cloud. And yet, high performers using DevOps principles, such as Google, Amazon, Facebook, Etsy, and Netflix, are routinely and reliably deploying code into production hundreds, or even thousands, of times per day. Following in the footsteps of The Phoenix Project, The DevOps Handbook shows leaders how to replicate these incredible outcomes, by showing how to integrate Product Management, Development, QA, IT Operations, and Information Security to elevate your company and win in the marketplace.

AI-Powered Productivity

Author : Asma Asfour
Publisher : Asma Asfour
ISBN 13 :
Total Pages : 311 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI-Powered Productivity by : Asma Asfour

Download or read book AI-Powered Productivity written by Asma Asfour and published by Asma Asfour. This book was released on 2024-08-06 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Powered Productivity is a guide to understanding and using AI and generative tools in professional settings. Chapter 1 introduces AI basics, its impact on various sectors, and an overview of generative AI tools. Chapter 2 delves into large language models exploring their integration with multimodal technologies and effects on productivity. Chapter 3 offers a practical guide to mastering LLM prompting and customization, with tutorials on crafting effective prompts and advanced techniques, including real-world examples of AI applications. Chapter 4 examines how AI can enhance individual productivity, focusing on professional and personal benefits, ethical use, and future trends. Chapter 5 addresses data-driven decision-making, covering data analysis techniques, AI in trend identification, consumer behavior analysis, strategic planning, and product development. Chapter 6 discusses strategic and ethical considerations, including AI feasibility, tool selection, multimodal workflows, and best practices for ethical AI development and deployment. Chapter 7 highlights AI's role in transforming training and professional development, covering structured training programs, continuous learning initiatives, and fostering a culture of innovation and experimentation. Chapter 8 provides a guide to successfully implementing AI in organizations, discussing team composition, collaborative approaches, iterative development processes, and strategic alignment for AI initiatives. Finally, Chapter 9 looks ahead to the future of work, preparing readers for the AI revolution by addressing training and education, career paths, common fears, and future workforce trends. This book is designed for both beginners and professionals, offering a deep dive into AI concepts, tools, and practices that define the current AI landscape.

Practical DevOps

Author : Joakim Verona
Publisher : Packt Publishing Ltd
ISBN 13 : 1785886525
Total Pages : 240 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Practical DevOps by : Joakim Verona

Download or read book Practical DevOps written by Joakim Verona and published by Packt Publishing Ltd. This book was released on 2016-02-16 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of DevOps to boost your skill set and make your IT organization perform better About This Book Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer Improve your organization's performance to ensure smooth production of software and services Deploy top-quality software and ensure software maintenance and release management with this practical guide Who This Book Is For This book is aimed at developers and system administrators who wish to take on larger responsibilities and understand how the infrastructure that builds today's enterprises works. This book is also great for operations personnel who would like to better support developers. You do not need to have any previous knowledge of DevOps. What You Will Learn Appreciate the merits of DevOps and continuous delivery and see how DevOps supports the agile process Understand how all the systems fit together to form a larger whole Set up and familiarize yourself with all the tools you need to be efficient with DevOps Design an application that is suitable for continuous deployment systems with Devops in mind Store and manage your code effectively using different options such as Git, Gerrit, and Gitlab Configure a job to build a sample CRUD application Test the code using automated regression testing with Jenkins Selenium Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, and Vagrant Monitor the health of your code with Nagios, Munin, and Graphite Explore the workings of Trac—a tool used for issue tracking In Detail DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations. After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you'll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it's running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes Style and approach This book is primarily a technical guide to DevOps with practical examples suitable for people who like to learn by implementing concrete working code. It starts out with background information and gradually delves deeper into technical subjects.