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Until recently, learning CoreDNS required reading the code or combing through the skimpy documentation on the website. No longer. With this practical book, developers and operators working with Docker or Linux containers will learn how to use this standard DNS server with Kubernetes.John Belamaric, senior staff software engineer at Google, and Cricket Liu, chief DNS architect at Infoblox, show you how to configure CoreDNS using real-world configuration examples to achieve specific purposes. Youll learn the basics of DNS, including how it functions as a location broker in container environments and how it ties into Kubernetes.Dive into DNS theory: the DNS namespace, domain names, domains, and zonesLearn how to configure your CoreDNS serverManage and serve basic and advanced zone data with CoreDNSConfigure CoreDNS service discovery with etcd and KubernetesLearn one of the most common use cases for CoreDNS: the integration with KubernetesManipulate queries and responses as they flow through the plug-in chainMonitor and troubleshoot the availability and performance of your DNS serviceBuild custom versions of CoreDNS and write your own plug-ins

Use Kotlin to build Android apps, web applications, and morewhile you learn the nuances of this popular language. With this unique cookbook, developers will learn how to apply thisJava-based language to their own projects. Both experienced programmers and those new to Kotlin will benefit from the practical recipes in this book.Author Ken Kousen (Modern Java Recipes) shows you how to solve problems with Kotlin by concentrating on your own use cases rather than on basic syntax. You provide the contextand this book supplies the answers. Already big in Android development, Kotlin can be used anywhere Java is applied, as well as for iOS development, native applications, JavaScriptgeneration, and more. Jump in and build meaningful projects with Kotlin today.Apply functional programming concepts, including lambdas, sequences, and concurrencySee how to use delegates, late initialization, and scope functionsExplore Java interoperability and access Java libraries using KotlinAdd your own extension functionsUse helpful libraries such as JUnit 5Get practical advice for working with specific frameworks, like Android and Spring

Learn how to fuse today's data science tools and techniques with your SAP enterprise resource planning (ERP) system. With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths.You'll explore:Examples of how data analysis can help you solve several SAP challengesNatural language processing for unlocking the secrets in textData science techniques for data clustering and segmentationMethods for detecting anomalies in your SAP dataData visualization techniques for making your data come to life

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, youll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more.AI is increasingly essential for every developerand you dont need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apples Python-powered Turi Create and Googles Swift for TensorFlow to train and build models.I: Fundamentals and ToolsLearn AI basics, our task-based approach, and discover how to build or find a dataset.II: Task Based AIBuild vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models.III: BeyondDiscover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Youll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. Youll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, youll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental modelsaccompanied by working code examples and mathematical explanationsfor understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch framework

With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you'll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases.

Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, youll get up to speed on patterns for building cloud native applications and best practices for common tasks such as messaging, eventing, and DevOps.Authors Boris Scholl, Trent Swanson, and Peter Jausovec describe the architectural building blocks for a modern cloud native application. Youll learn how to use microservices, containers, serverless computing, storage types, portability, and functions. Youll also explore the fundamentals of cloud native applications, including how to design, develop, and operate them.Explore the technologies you need to design a cloud native applicationDistinguish between containers and functions, and learn when to use themArchitect applications for data-related requirementsLearn DevOps fundamentals and practices for developing, testing, and operating your applicationsUse tips, techniques, and best practices for building and managing cloud native applicationsUnderstand the costs and trade-offs necessary to make an application portable

Ready to dive into smart contract development for the blockchain? With this practical guide, experienced engineers and beginners alike will quickly learn the entire process for building smart contracts for Ethereumthe open source blockchain-based distributed computing platform. Youllget up to speed with the fundamentals and quickly move into builder mode.Kevin Solorio, Randall Kanna, and Dave Hoover show you how to create and test your own smart contract, create a frontend for users to interact with, and more. Its the perfect resource for people who want to break into the smart contract field but dont know where to start.In four parts, this book helps you:Explore smart contract fundamentals, including the Ethereum protocol, Solidity programming language, and the Ethereum Virtual MachineDive into smart contract development using Solidity and gain experience with Truffle framework tools for deploying and testing your contractsUse Web3 to connect your smart contracts to an applicationso users can easily interact with the blockchainExamine smart contract security along with free online resources for smart contract security auditing

Every day thousands of passionate developers come up with new startup ideas and lack the branding know-how to make them thrive. Lean Branding is their Phone-a-Friend lifeline. This book is a practical toolkit to building your own robust, dynamic brands that generate conversion without having to hire an agency.

With cloud providers running servers and managing machine resources, companies now can focus solely on the application's business logic and functionality. This hands-on book shows experienced programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure.

If youre looking to develop native applications in Kubernetes, this is your guide. Developers and AppOps administrators will learn how to build Kubernetes-native applications that interact directly with the API server to query or update the state of resources. AWS developer advocate Michael Hausenblas and Red Hat principal software engineer Stefan Schimanski explain the characteristics of these apps and show you how to program Kubernetes to build them.Youll explore the basic building blocks of Kubernetes, including the client-go API library and custom resources. All you need to get started is a rudimentary understanding of development and system administration tools and practices, such as package management, the Go programming language, and Git.Walk through Kubernetes API basics and dive into the servers inner structureExplore Kubernetess programming interface in Go, including Kubernetes API objectsLearn about custom resourcesthe central extension tools used in the Kubernetes ecosystemUse tags to control Kubernetes code generators for custom resourcesWrite custom controllers and operators and make them production readyExtend the Kubernetes API surface by implementing a custom API server

As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "e;fool"e; them with data that wouldnt trick a human presents a new attack vector. This practical book examines real-world scenarios where DNNsthe algorithms intrinsic to much of AIare used daily to process image, audio, and video data.Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks. If youre a data scientist developing DNN algorithms, a security architect interested in how to make AI systems more resilient to attack, or someone fascinated by the differences between artificial and biological perception, this book is for you.Delve into DNNs and discover how they could be tricked by adversarial inputInvestigate methods used to generate adversarial input capable of fooling DNNsExplore real-world scenarios and model the adversarial threatEvaluate neural network robustness; learn methods to increase resilience of AI systems to adversarial dataExamine some ways in which AI might become better at mimicking human perception in years to come

There's one resource we just can't get enough of: Time. In this issue of Make:, we celebrate that most fascinating and finite resource. First, build a miniature neomatrix word clock that colorfully spells out the time. Next, waste less time in the shop with a healthy helping of time-saving shop tips. Then, take a metaphorical trip to the past and dive into the history and theory behind modern mechanical clocks.Plus, 19 projects to make, including:8 more crazy clocks to build3D print an old-school bellows-style cameraProgram a wall-mounted display to track your social media statsCraft a 2-in-1 leather carrier for beer and wine for your next picnicBuild a stylish motion-reactive LED table-top displayand more!

Operators are a way of packaging, deploying, and managing Kubernetes applications. A Kubernetes application doesnt just run on Kubernetes; its composed and managed in Kubernetes terms. Operators add application-specific operational knowledge to a Kubernetes cluster, making it easier to automate complex, stateful applications and to augment the platform. Operators can coordinate application upgrades seamlessly, react to failures automatically, and streamline repetitive maintenance like backups.Think of Operators as site reliability engineers in software. They work by extending the Kubernetes control plane and API, helping systems integrators, cluster administrators, and application developers reliably deploy and manage key services and components. Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK.Learn how to establish a Kubernetes cluster and deploy an OperatorExamine a range of Operators from usage to implementationExplore the three pillars of the Operator Framework: the Operator SDK, the Operator Lifecycle Manager, and Operator MeteringBuild Operators from the ground up using the Operator SDKBuild, package, and run an Operator in development, testing, and production phasesLearn how to distribute your Operator for installation on Kubernetes clusters

Companies from startups to corporate giants face massive amounts of disruption today. Now more than ever, organizations need nimble and responsive leaders who know how to exploit the opportunities that change brings. In this insightful book, Jean Dahl, a senior executive and expert in the Lean mindset and its methods, demonstrates why you need to embrace Modern Lean principles and thinking to redefine leadership in this age of digital disruption in order to continuously evolve the Lean enterprise.Drawing on nearly three decades of corporate and consulting experience, Ms. Dahl lays out a new holistic framework for developing Modern Lean leaders. Through personal experiences and compellingreal-world case studies, she explains specific steps necessary for you and your company to proactively understand and respond to change.Understand the leadership challenges Lean leaders face in our 21st century global economyExplore the six dimensions of the Modern Lean FrameworkLearn and apply the nine steps necessary to become a Lean leaderUse Modern Lean methods to build a culture of continuous learning that can be sustained and maintained within your organizationSeize competitive advantage by embracing Modern Lean to tbuild an enterprise that understands how to respond to disruption

Serverless computing greatly simplifies software development. Your team can focus solely on your application while the cloud provider manages the servers you need. This practical guide shows you step-by-step how to build and deploy complex applications in a flexible multicloud, multilanguage environment using Apache OpenWhisk. Youll learn how this platform enables you to pursue a vendor-independent approach using preconfigured containers, microservices, and Kubernetes as your cloud operating system.Michele Sciabarr demonstrates how to build a serverless application using classical design patterns and the programming language or languages that best fit your task. Youll start by building a simple serverless application hands-on before diving into the more complex aspects of the OpenWhisk platform.Examine how OpenWhisks serverless architecture works, including the use of packages, actions, sequences, triggers, rules, and feedsLearn how OpenWhisk compares to existing architectures, such as Java Enterprise EditionManipulate OpenWhisk features using the command-line interface or a JavaScript APIDesign applications using common Gang of Four design patternsUse architectural design patterns such as model-view-controller to combine several OpenWhisk actionsLearn how to test and debug your code in a serverless environment

Is your organization prepared for the next paradigm of customer experience, or will you be left behind? This practical book will make you a winner in a market driven by experience, enabling you to develop desirable offerings and standout service to attract loyal customers.

Collaboration is key for organizations in the 21st century, yet few business people have been trained to teach this skill. How do you advance ideas in a collaborative way and then communicate them throughout your company? In this practical book, author Gretchen Anderson shows you how to generate ideas with others while gaining buy-in from all levels of your organization.Product managers, designers, marketers, technical leaders, and executives will obtain better insight into how team members work together to make decisions. Through tangible exercises and techniques, youll learn how to turn promising ideas into products, services, and solutions that make a real difference in the market.Use a framework to develop ideas into hypotheses to be tested and refinedAvoid common pitfalls in the collaboration processAlign communication approaches to ensure that collaboration is effective and inclusiveStructure events or meetings for different types of collaboration depending on the people involvedPractice giving and receiving critiques to foster inclusion without resorting to consensus-based decisions

Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. Youll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market.Engineering leaders John Chapin and Mike Roberts guide you through the process of developing these applications using AWS Lambda, Amazons event-driven, serverless computing platform. Youll learn how to prepare the development environment, program Lambda functions, and deploy and operate your serverless software. The chapters include exercises to help you through each aspect of the process.Get an introduction to serverless, functions as a service, and AWS LambdaLearn how to deploy working Lambda functions to the cloudProgram Lambda functions and learn how the Lambda platform integrates with other AWS servicesBuild and package Java-based Lambda code and dependenciesCreate serverless applications by building a serverless API and data pipelineTest your serverless applications using automated techniquesApply advanced techniques to build production-ready applicationsUnderstand both the gotchas and new opportunities of serverless architecture

Perform data analysis with R quickly and efficiently using the task-oriented recipes in this cookbook. The R language and environment include everything necessary to perform statistical work right out of the box, but its structure can often be difficult for beginners and experienced computer geeks alike.

If youre an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. Youll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business.AI is exciting, powerful, and game changingbut too many AI initiatives end in failure. With this book, youll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. Youll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products.Use the books AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AIDefine a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and usersLeverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturityUnderstand the importance of executive leadership for pursuing AI initiatives"e;A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization."e; - Dan Park, GM & Director, Uber"e;Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us."e; - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.

The Windows 10 May 2019 Update adds a host of new and improved features to Microsofts flagship operating systemand this jargon-free guide helps you get the most out of every component.This in-depth Missing Manual covers the entire system and introduces you to the latest features in the Windows Professional, Enterprise, Education, and Home editions. Youll learn how to take advantage of improvements to the Game Bar, Edge browser, Windows Online, smartphone features, and a lot more.Written by David Poguetech critic for Yahoo Finance and former columnist for The New York Timesthis updated edition illuminates its subject with technical insight, plenty of wit, and hardnosed objectivity.

Learn the basics of using the micro:bit, an open source hardware ARM-based embedded system used to teach computer programming, to build a series of 10 different gadgets from scratc

We're excited to present our "2019 Make: Digital Fabrication Guide"! This year we get our hands on maker-ready waterjet cutters with machines from Wazer and Omax. We also review the latest 3D printers, CNC routers, laser cutters, and vinyl cutters. More than 20 tools tested to help you find the best one for your shop or makerspace.Plus, more than 30 DigiFab projects and lessons:Build a robot companion that reacts to the faces of people around youMake Nixie tube-style display with LEDs and acrylicCreate a mini Intaglio printing press and create unique artworkand much more.

Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. Youll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver valuefrom finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions.This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4jtwo of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection.Learn how graph analytics vary from conventional statistical analysisUnderstand how classic graph algorithms work, and how they are appliedGet guidance on which algorithms to use for different types of questionsExplore algorithm examples with working code and sample datasets from Spark and Neo4jSee how connected feature extraction can increase machine learning accuracy and precisionWalk through creating an ML workflow for link prediction combining Neo4j and Spark

In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you'll learn how to build practical applications and experiences grounded in theory and backed by industry use cases.

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challengesin time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.Youll get the guidance you need to confidently:Find and wrangle time series dataUndertake exploratory time series data analysisStore temporal dataSimulate time series dataGenerate and select features for a time seriesMeasure errorForecast and classify time series with machine or deep learningEvaluate accuracy and performance

If youre just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, youll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics.Start with the basics, including language syntax and semanticsGet a clear definition of each programming conceptLearn about values, variables, statements, functions, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand types, methods, and multiple dispatchUse debugging techniques to fix syntax, runtime, and semantic errorsExplore interface design and data structures through case studies

Web 2.0 makes headlines, but how does it make money? This concise guide explains what's different about Web 2.0 and how those differences can improve the bottom line.