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With this updated third edition, you'll quickly learn how to be productive with Ansible whether you're a developer deploying code or a system administrator looking for a better automation solution.

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guest authors show you how to run an efficient and reliable ML system. Whether you want to increase revenue, optimize decision making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.You'll examine:What ML is: how it functions and what it relies onConceptual frameworks for understanding how ML "e;loops"e; workHow effective productionization can make your ML systems easily monitorable, deployable, and operableWhy ML systems make production troubleshooting more difficult, and how to compensate accordinglyHow ML, product, and production teams can communicate effectively

With the advent of microservices, Kubernetes, public cloud, and hybrid computing, site reliability and DevOps engineers are facing more complexity than ever before. Service mesh is an exciting new technology that promises to help tackle this complexity. A service mesh provides you with a unified control plane to manage application networking across these distinct platforms.With this definitive guide, you'll learn how to automate networking for simple and secure application delivery with Consul.Author Luke Kysow, Consul engineer at HashiCorp, demonstrates how this service mesh solution provides a software-driven approach to security, observability, reliability, and traffic management. Once you learn how to deploy Consul on multiple platforms, you'll be able to take control of application traffic, prevent outages, view metrics, integrate with legacy systems, and more.Dive into the characteristics of service meshes, zero trust networking, and traffic-shaping patternsDeploy Consul on Kubernetes and virtual machinesLearn how to secure, monitor, and manage your application traffic with ConsulUse this guide to deploy and operate applications as a platform operator, DevOps engineer, or developer

In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively.Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems.You will focus on:Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffsDesigning scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservicesDesigning scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistencyDesigning scalable streaming systems: Explore stream processing systems and scalable event-driven processing

For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch.In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON.You'll learn how to:Connect to a server, issue queries, and retrieve resultsRetrieve data from the MySQL ServerStore, retrieve, and manipulate stringsWork with dates and timesSort query results and generate summariesAssess the characteristics of a datasetWrite stored functions and proceduresUse stored routines, triggers, and scheduled eventsPerform basic MySQL administration tasksUnderstand MySQL monitoring fundamentals

Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved. But first, you have to learn how to access and make sense of all that data.This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and harmonization to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics.You'll learn:Different types of healthcare data: electronic health records, clinical registries and trials, digital health tools, and claims dataThe challenges of working with healthcare data, especially when trying to aggregate data from multiple sourcesCurrent options for extracting structured data from clinical textHow to make trade-offs when using tools and frameworks for normalizing structured healthcare dataHow to harmonize healthcare data using terminologies, ontologies, and mappings and crosswalks

Learn how to think and write code like a functional programmer. With this practical guide, software developers familiar with object-oriented programming will dive into the core concepts of functional programming and learn how to use both functional and OOP features together on large or complex software projects.Author Jack Widman uses samples from Java, Python, C#, Scala, and JavaScript to help you gain a new perspective and a set of tools for managing the complexity in your problem domain. You'll be able to write code that's simpler, reusable, easier to test and modify, and more consistently correct. This book also shows you how to use patterns from category theory to help bridge the gap between OOP and functional programming.Learn functional programming fundamentals and explore the way functional programmers approach problemsUnderstand how FP differs from object-oriented and imperative programmingUse a set of practical, applicable design patterns that model reality in a functional wayLearn how to incorporate FP and OOP features into software projectsApply functional design patterns appropriately and use them to write correct, robust, and easily modifiable code

Software architecture metrics are key to the maintainability and architectural quality of a software project and they can warn you about dangerous accumulations of architectural and technical debt early in the process. In this practical book, leading hands-on software architects share case studies to introduce metrics that every software architect should know.This isn't a book about theory. It's more about practice and implementation, about what has already been tried and worked. Detecting software architectural issues early is crucial for the success of your software: it helps mitigate the risk of poor performance and lowers the cost of repairing those issues. Written by practitioners for software architects and software developers eager to explore successful case studies, this guide will help you learn more about decision and measurement effectiveness.Through contributions from 10 prominent practitioners, this book shares key software architecture metrics to help you set the right KPIs and measure the results. You'll learn how to:Measure how well your software architecture is meeting your goalsChoose the right metrics to track (and skip the ones you don't need)Improve observability, testability, and deployabilityPrioritize software architecture projectsBuild insightful and relevant dashboards

Get started with Selenium WebDriver, the open source library for automating tests to ensure your web application performs as expected. In this practical hands-on book, author Boni Garcia takes Java developers through Selenium's main features for automating web navigation, browser manipulation, web element interaction, and more, with ready-to-be-executed test examples.You'll start by learning the core features of Selenium (composed of WebDriver, Grid, and IDE) and its ecosystem. Discover why Selenium WebDriver is the de facto library for developing end-to-end tests on your web application. You'll explore ways to use advanced Selenium WebDriver features, including using web browsers in Docker containers or the DevTools protocol. Selenium WebDriver examples in this book are available on GitHub.With this book, you'll learn how to:Set up a Java project containing end-to-end tests that use Selenium WebDriverConduct automated interaction with web applicationsUse strategies for managing browser-specific capabilities and cross-browser testingInteract with web forms, manage pop-up messages, and execute JavaScriptControl remote browsers and use advanced browser infrastructure for Selenium WebDriver tests in the cloudModel web pages using object-oriented classes to ease test maintenance and reduce code duplication

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment.Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility.Understand Cassandra's distributed and decentralized structureUse the Cassandra Query Language (CQL) and cqlsh (the CQL shell)Create a working data model and compare it with an equivalent relational modelDesign and develop applications using client driversExplore cluster topology and learn how nodes exchange dataMaintain a high level of performance in your clusterDeploy Cassandra onsite, in the cloud, or with Docker and KubernetesIntegrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene

Dedicated to the renaissance within the world of crafts, this title focuses on Eco-friendly projects, features on crafters and companies that promote environmentally friendly practices. It also focuses on recycled, repurposed, and reused materials of the projects in this issue.

Want to develop games for Xbox 360 and Windows Phone 7? This hands-on book will get you started with Microsoft's XNA 4.0 development framework right away -- even if you have no experience developing games. Although XNA includes several key concepts that can be difficult for beginning web developers to grasp, Learning XNA 4.0 shortens the learning curve by walking you through the framework in a clear and understandable step-by-step format.Each chapter offers a self-contained lesson with illustrations and annotated examples, along with exercises and review questions to help you test your understanding and practice new skills as you go. Once you've finished this book, you'll know how to develop your own sophisticated games from start to finish.Learn game development from 2D animation to 3D cameras and effectsDelve into high-level shader language (HLSL) and introductory artificial intelligence conceptsBuild three complete, exciting games using 2D, 3D, and multiplayer techniquesDevelop for and deploy your games to the Xbox 360 and Windows Phone 7

Want to build native Mac OS X applications with a sleek, developer-friendly alternative to Objective-C? MacRuby is an ideal choice. This in-depth guide shows you how Apples implementation of Ruby gives you access to all the features available to Objective-C programmers. Youll get clear, detailed explanations of MacRuby, including quick programming techniques such as prototyping.Perfect for programmers at any level, this book is packed with code samples and complete project examples. If you use Ruby, you can tap your skills to take advantage of Interface Builder, Cocoa libraries, the Objective-C runtime, and more. If youre a Cocoa developer, youll learn how to improve your productivity with MacRuby.Get up to speed on MacRuby basics, including classes and methodsLearn how to use MacRuby with Apples Xcode developer suiteDelve into the primitive object classes and data types in Foundation KitBuild event-driven user interfaces with the AppKit frameworkHandle relational object persistence with the Core Data frameworkUse advanced MacRuby techniques, including concurrency and sandboxingGet examples for applications using Twitter and a location web serviceEmbed MacRuby into existing Objective-C applications

If you plan to develop iOS applications in a corporate settingfor internal consumption or for sale to end usersyou need to read this book. Veteran developer James Turner shares best practices and lessons learned from his recent on-the-ground experience planning, building, and shipping an iOS application in an enterprise environment.With lots of examples and solid advice, youll learn how to use Xcode, Objective-C, and other Apple development tools within the confines of enterprise software methodologies. Dont be deterred by Apples development philosophy. If youre familiar with Xcode, this guide will help you build and launch enterprise iOS apps successfully.Get Xcodes single-developer model to work in a concurrent development environmentIntegrate Xcode builds into tools such as Ant and HudsonUse open source libraries to connect iOS with SOAP and other backend servicesSet up a framework to test iOS apps for code coverage and CCN metricsManage the legal, marketing, and production issues involved when interacting with iTunes ConnectMeet iTunes requirements for provisioning and distributing your appProvide long-term support by sidestepping Apples distribution limitations

Helps you manage development projects for software, web applications, and enterprise applications. This book includes: the POM and Project Relationships; the Build Lifecycle; Plugins; Project website generation; Advanced site generation; Reporting; Properties; Build Profiles; The Maven Repository; Team Collaboration; and Writing Plugins.

Take your Linux skills to the next level! Whether you're a system administrator, software developer, site reliability engineer, or enthusiastic hobbyist, this practical, hands-on book will help you work faster, smarter, and more efficiently. You'll learn how to create and run complex commands that solve real business problems, process and retrieve information, and automate manual tasks. You'll also truly understand what happens behind the shell prompt, so no matter which commands you run, you can be more successful in everyday Linux use and more competitive on the job market. As you build intermediate to advanced command-line skills, you'll learn how to: Choose or construct commands that get your work done quickly Run commands efficiently and navigate the Linux filesystem with ease Build powerful, complex commands out of simpler ones Transform text files and query them like databases to achieve business goals Control Linux point-and-click features from the command line

Take advantage of the power of cloud and the latest AI techniques. Whether youre an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.This book shows you how cloud AI services fit in alongside familiar software development approaches, walks you through key Microsoft AI services, and provides real-world examples of AI-oriented architectures that integrate different Azure AI services. All you need to get started is a working knowledge of basic cloud concepts.Become familiar with Azure AI offerings and capabilitiesBuild intelligent applications using Azure Cognitive ServicesTrain, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX)Learn to solve business problems using AI in the Power PlatformUse transfer learning to train vision, speech, and language models in minutes

If you use Linux in development or operations and need a structured approach to help you dive deeper, this book is for you. Author Michael Hausenblas also provides tips and tricks for improving your workflow with this open source operating system. Whether you're a developer, software architect, or site reliability engineer, this hands-on guide focuses on ways to use Linux for your everyday needs, from development to office-related tasks.Along the way, you'll gain hands-on experience with modern Linux terminals and shells, and learn how to manage your workloads. You'll understand how to run Linux applications by using containers, systemd, modern filesystems, and immutable distros such as Flatcar and Bottlerocket.Use Linux as a modern work environment, rather than just from an admin perspectiveLearn critical components such as the Linux kernel, terminal multiplexer, human-friendly shells, and portable shell scriptingBecome familiar with access control, from file permissions to capabilities, and understand the role of filesystems as a fundamental building blockLearn about application dependency management and containersGain hands-on experience with the Linux networking stack and tooling, including DNSApply modern operating system observability to manage your workloadsBecome familiar with interprocess communication, virtual machines, and selected security topics

Testing is a critical discipline for any organization looking to deliver high-quality software. This practical book provides software developers and QA engineers with a comprehensive one-stop guide to testing skills in 10 different categories. You'll learn appropriate strategies, concepts, and practical implementation knowledge you can apply from both a development and testing perspective for web and mobile applications.Author Gayathri Mohan offers examples of more than 40 tools you can use immediately. You'll acquire the skills to conduct exploratory testing, test automation, cross-functional testing, data testing, mobile testing, and visual testing, as well as tests for performance, security, and accessibility. You'll learn to integrate them in continuous integration pipelines to gain faster feedback. Once you dive into this guide, you'll be able to tackle challenging development workflows with a focus on quality.With this book, you will:Learn how to employ various testing types to yield maximum quality in your projectsExplore new testing methods by following the book's strategies and conceptsLearn how to apply these tools at work by following detailed examplesImprove your skills and job prospects by gaining a broad exposure to testing best practices

Ready to build quantum computing applications using Q# and the Microsoft Quantum Development Kit? This is the book for you. Q# is a domain-specific language for expressing quantum algorithms that combines familiar "e;classical"e; language constructs with quantum-specific ones. Ideal for any developer familiar with (or willing to learn) the basics of quantum computing and looking to get started with quantum programming, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#.You'll explore the quantum software development lifecycle from implementing the program to running it on quantum simulators to testing and debugging it. You'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process.You'll explore:Q# language details, including data types, statements, and operatorsGuidelines for organizing Q# code and invoking it from different environmentsInformation on simulators and tools in the Microsoft Quantum Development KitAdvice on testing and debugging tools and techniques for quantum programs

With the rise of the cloud, every aspect of IT has been shaken to its core. The fundamentals for building systems are changing, and although many of the principles that underpin security still ring true, their implementation has become unrecognizable. This practical book provides recipes for AWS, Azure, and GCP to help you enhance the security of your own cloud native systems.Based on his hard-earned experience working with some of the world's biggest enterprises and rapidly iterating startups, consultant Josh Armitage covers the trade-offs that security professionals, developers, and infrastructure gurus need to make when working with different cloud providers. Each recipe discusses these inherent compromises, as well as where clouds have similarities and where they're fundamentally different.Learn how the cloud provides security superior to what was achievable in an on-premises worldUnderstand the principles and mental models that enable you to make optimal trade-offs as part of your solutionLearn how to implement existing solutions that are robust and secure, and devise design solutions to new and interesting problemsDeal with security challenges and solutions both horizontally and vertically within your business

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI.This book examines:Differences between and limitations of automated, autonomous, and human decision-makingUnique advantages of autonomous AI for real-time decision-making, with use casesHow to design an autonomous AI from modular components and document your designs

Making Simple Robots is based on the idea that anybody can build a robot! That includes kids, educators, parents, and anyone who didn't make it to engineering school. If you can cut, fold, and tape a piece of paper to make a tube or a box, you can build a no-tech robotic part. In fact, many of the models in this book are based upon real-life prototypes -- working models created in research labs and companies. What's more, if you can use the apps on your smartphone, you can quickly learn to tell robots what to do using free, online, beginner-level software like MIT's Scratch and Microsoft MakeCode. The projects in this book which teach you about electric circuits by making jumping origami frogs with eyes that light up when you get them ready to hop. You'll practice designing all-terrain robot wheel-legs with free, online Tinkercad software, and you'll create files ready for 3D printing. You'll also learn to sew -- and code -- a cyborg rag doll with a blinking electronic "eye." Each project includes step-by-step directions and clear illustrations and photographs. Along the way, you'll learn about the real research behind the DIY version, find shortcuts for making projects easier when needed, and get suggestions for adding to the challenge as your skill set grows.

Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.Thats just the beginning.With this practical book, youll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.You'll learn how to:Design an approach for solving ML and AI problems using simulations with the Unity engineUse a game engine to synthesize images for use as training dataCreate simulation environments designed for training deep reinforcement learning and imitation learning modelsUse and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimizationTrain a variety of ML models using different approachesEnable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits

Kubernetes is the operating system of the cloud-native world, providing a reliable and scalable platform for running containerized workloads. This book shows developers and operations staff how to apply industry-standard DevOps practices to Kubernetes in a cloud-native context.

Even as spending on digital transformation continues to skyrocket, mainframes nevertheless have major advantages for global enterprises. These systems still process huge amounts of information and allow for highly secure processing. In this practical book, author Tom Taulli shows software developers how to pursue a hybrid approach by integrating traditional mainframes and applications with modern digital systems.By the end of the book, you'll have a solid understanding of the mainframe architecture and ecosystem, including core concepts and technologies such as COBOL, JCL, DB2, VSAM, and CICS. You'll learn how to blend in newer technologies such as the cloud, AI and machine learning, and the use of microservices. This handbook is indispensable for enterprises looking to thrive in the new digital world.Learn strategies and approaches for mainframe DevOpsUpdate and maintain existing mainframe code, and analyze and resolve common errorsApply modern approaches to the mainframe, including microservices, APIs, cloud, and AI and machine learningWork with datasets and databases and put together effective reportsUnderstand how to work with modern cloud systems, like AWS, for pursuing data migration

Shell scripts are everywhere, especially those written in bash-compatible syntax. But these scripts can be complex and obscure. Complexity is the enemy of security, but it's also the enemy of readability and understanding. With this practical book, you'll learn how to decipher old bash code and write new code that's as clear and readable as possible.Authors Carl Albing and JP Vossen show you how to use the power and flexibility of the shell to your advantage. You may know enough bash to get by, but this book will take your skills from manageable to magnificent. Whether you use Linux, Unix, Windows, or a Mac, you'll learn how to read and write scripts like an expert. Your future you will thank you.You'll explore the clear idioms to use and obscure ones to avoid, so that you can:Write useful, flexible, and readable bash code with styleDecode bash code such as ${MAKEMELC,,} and ${PATHNAME##*/}Save time and ensure consistency when automating tasksDiscover how bash idioms can make your code clean and concise

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.With this book, you will:Examine current fraud attacks and learn how to mitigate themFind the right balance between preventing fraud and providing a smooth customer experienceShare insights across multiple business areas, including ecommerce, banking, cryptocurrency, anti-money laundering, and ad techEvaluate potential risks for a new vertical, market, or productTrain and mentor teams by boosting collaboration and kickstarting brainstorming sessionsGet a framework of fraud methods, fraud-fighting analytics, and data science methodologies