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Zarządzanie
Podcasty
Vue.js is one of the top three “go-to” JavaScript frameworks and is used by organizations such as Nintendo, NASA, and Expedia. This book is primarily focused on the ecosystem of Vue.js and its development tools. Understanding the basics of the technology behind the Vue.js ecosystem will improve your skills and make you a better problem solver.The book begins with a brief overview of Vue.js. You’ll learn to work your way through the Vue command line interface CLI 3, and use the Vue Router library to navigate between the different views of your application. As you advance through the topics, you’ll explore the use of DevTools to improve the quality of your applications and how to implement server-side rendering in your application through the Nuxt.js framework. Toward the end of the book, you’ll read about the future of Vue.js and its growing popularity.After reading this book, you’ll be able to create industry-grade applications using Vue.js and its tools.
XenMobile is the revolutionary new way to mobilize your business. The product offers security and compliance for IT while giving users mobile device, app, and data freedom. Users gain single-click access to all of their mobile, SaaS, and Windows apps from a unified corporate app store, including seamlessly-integrated email, browser, data sharing, and support apps.A practical guide showing users how to implement XenMobile MDM, configure the software and server for provisioning and security policies, and deploy application stores. Readers will gain an understanding in how to manage a BYOD environment in organizations.This book explores how mobile devices are used within organizations, and importantly identifies the common pain points that they experience. You will learn practical solutions on how address these concerns and use XenMobile to solve these problems. You will also learn how to install, configure, and optimize XenMobile MDM software. Finally, you will learn how to configure security policies to protect mobile devices, install custom applications, and configure device settings.
LLVM was built to bridge the gap between the theoretical knowledge found in compiler textbooks and the practical demands of compiler development. With a modular codebase and advanced tools, LLVM empowers developers to build compilers with ease. This book serves as a practical introduction to LLVM, guiding you progressively through complex scenarios and ensuring that you navigate the challenges of building and working with compilers like a pro.The book starts by showing you how to configure, build, and install LLVM libraries, tools, and external projects. You’ll then be introduced to LLVM's design, unraveling its applications in each compiler stage: frontend, optimizer, and backend. Using a real programming language subset, you'll build a frontend, generate LLVM IR, optimize it through the pipeline, and generate machine code. Advanced chapters extend your expertise, covering topics such as extending LLVM with a new pass, using LLVM tools for debugging, and enhancing the quality of your code. You'll also focus on just-in-time compilation issues and the current state of JIT-compilation support with LLVM. Finally, you’ll develop a new backend for LLVM, gaining insights into target description and how instruction selection works.By the end of this book, you'll have hands-on experience with the LLVM compiler development framework through real-world examples and source code snippets.
Many programmers are aware of TDD but struggle to apply it beyond basic examples. This book teaches how to build complex, real-world applications using Test-Driven Development (TDD). It takes a first principles approach to the TDD process using plain Jest and includes test-driving the integration of libraries including React Router, Redux, and Relay (GraphQL).Readers will practice systematic refactoring while building out their own test framework, gaining a deep understanding of TDD tools and techniques. They will learn how to test-drive features such as client- and server-side form validation, data filtering and searching, navigation and user workflow, undo/redo, animation, LocalStorage access, WebSocket communication, and querying GraphQL endpoints.The book covers refactoring codebases to use the React Router and Redux libraries. via TDD. Redux is explored in depth, with reducers, middleware, sagas, and connected React components. The book also covers acceptance testing using Cucumber and Puppeteer.The book is fully up to date with React 16.9 and has in-depth coverage of hooks and the ‘act’ test helper.
Migrating to a new server involves a lot of decision making and planning. Windows Server 2012 comes with exciting new features and ease of use. This book will help you migrate to your new server in no time. Instant Migration from Windows Server 2008 and 2008 R2 to 2012 How-to provides you with many practical and real world scenarios in a step-by-step guide. It is designed to lead you through the entire process of migration.Beginning with an introduction to Windows Server 2012, the author then takes you through the installation and configuration of the server, before continuing on to migrate the existing services to Windows Server and how to decommission old servers. The “how-to” migration scenarios described are based on the author's own field experiences, guaranteeing real-world solutions. The scenarios include Active Directory, enabling a Remote Desktop, Print Server, and Hyper-V migration details. From the planning to theimplementation phase, Instant Migration from Windows Server 2008 and 2008 R2 to 2012 How-to is your comprehensive guide for completing migration solutions.
Cybercriminals are incessantly coming up with new ways to compromise online systems and wreak havoc, creating an ever-growing need for cybersecurity practitioners in every organization across the globe who understand international security standards, such as the ISO27k family of standards.If you’re looking to ensure that your company's data conforms to these standards, Cybersecurity and Privacy Law Handbook has got you covered. It'll not only equip you with the rudiments of cybersecurity but also guide you through privacy laws and explain how you can ensure compliance to protect yourself from cybercrime and avoid the hefty fines imposed for non-compliance with standards.Assuming that you're new to the field, this book starts by introducing cybersecurity frameworks and concepts used throughout the chapters. You'll understand why privacy is paramount and how to find the security gaps in your company's systems. There's a practical element to the book as well—you'll prepare policies and procedures to prevent your company from being breached. You’ll complete your learning journey by exploring cloud security and the complex nature of privacy laws in the US.By the end of this cybersecurity book, you'll be well-placed to protect your company's data and comply with the relevant standards.
Provided as a part of Microsoft's Bing suite of search engines, Bing Maps is a web mapping service powered by the Bing Maps for Enterprise framework. The need for geospatial data has increased dramatically in the last few years. Adding a mapping context to any location-based data is becoming more and more common, and businesses are embracing it to improve their user experience with new data richness. Comprising of simple, follow-along examples, Learning Bing Maps API will show you how to use the many features of Bing Maps, from dropping a simple map on a web page, to fetching geospatial data from the Microsoft servers. Through the course of this book you will build a solid foundation for creating your own geo-applications.Following the hands-on recipes of this book, you will build a different web app in each chapter as you communicate with different APIs provided by Bing Maps. You will build your own library of JavaScript modules that talk to the Microsoft Maps API.You will create a custom theme for the map, with your own controls. Taking advantage of the global reach of Bing Maps, you will learn how to build a route scheduler for a delivery company in Madrid, Spain, and then you will discover how to create jobs on the Bing Maps servers for geocoding addresses in California, USA. By the end of the book you will have learned everything you need to know to embed a map on a web page, with your own geo-data, or data obtained by the Bing Map Services.
Amazon Web Services (AWS) is one of the most popular and efficient cloud platforms for administering and deploying your applications to make them resilient and robust. AWS for System Administrators will help you to learn several advanced cloud administration concepts for deploying, managing, and operating highly available systems on AWS.Starting with the fundamentals of identity and access management (IAM) for securing your environment, this book will gradually take you through AWS networking and monitoring tools. As you make your way through the chapters, you’ll get to grips with VPC, EC2, load balancer, Auto Scaling, RDS database, and data management. The book will also show you how to initiate AWS automated backups and store and keep track of log files. Later, you’ll work with AWS APIs and understand how to use them along with CloudFormation, Python Boto3 Script, and Terraform to automate infrastructure.By the end of this AWS book, you’ll be ready to build your two-tier startup with all the necessary infrastructure, monitoring, and logging components in place.
Building RESTful web services can be tough as there are countless standards and ways to develop API. In modern architectures such as microservices, RESTful APIs are common in communication, making idiomatic and scalable API development crucial. This book covers basic through to advanced API development concepts and supporting tools.You’ll start with an introduction to REST API development before moving on to building the essential blocks for working with Go. You’ll explore routers, middleware, and available open source web development solutions in Go to create robust APIs, and understand the application and database layers to build RESTful web services. You’ll learn various data formats like protocol buffers and JSON, and understand how to serve them over HTTP and gRPC. After covering advanced topics such as asynchronous API design and GraphQL for building scalable web services, you’ll discover how microservices can benefit from REST. You’ll also explore packaging artifacts in the form of containers and understand how to set up an ideal deployment ecosystem for web services. Finally, you’ll cover the provisioning of infrastructure using infrastructure as code (IaC) and secure your REST API.By the end of the book, you’ll have intermediate knowledge of web service development and be able to apply the skills you’ve learned in a practical way.
Christoph Körner, Kaijisse Waaijer
The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline.By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure.