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Kubernetes is a modern cloud native container orchestration tool and one of the most popular open source projects worldwide. In addition to the technology being powerful and highly flexible, Kubernetes engineers are in high demand across the industry.This book is a comprehensive guide to deploying, securing, and operating modern cloud native applications on Kubernetes. From the fundamentals to Kubernetes best practices, the book covers essential aspects of configuring applications. You’ll even explore real-world techniques for running clusters in production, tips for setting up observability for cluster resources, and valuable troubleshooting techniques. Finally, you’ll learn how to extend and customize Kubernetes, as well as gaining tips for deploying service meshes, serverless tooling, and more on your cluster.By the end of this Kubernetes book, you’ll be equipped with the tools you need to confidently run and extend modern applications on Kubernetes.
Mastering Angular Components. Build component-based user interfaces with Angular - Second Edition
Mastering Angular Components will help you learn how to invent, build, and manage shared and reusable components for your web projects. Angular components are an integral part of any Angular app and are responsible for performing specific tasks in controlling the user interface.Complete with detailed explanations of essential concepts and practical examples, the book begins by helping you build basic layout components, along with developing a fully functional task-management application using Angular. You’ll then learn how to create layout components and build clean data and state architecture for your application. The book will even help you understand component-based routing and create components that render Scalable Vector Graphics (SVG). Toward the concluding chapters, you’ll be able to visualize data using the third-party library Chartist and create a plugin architecture using Angular components.By the end of this book, you will have mastered the component-based architecture in Angular and have the skills you need to build modern and clean user interfaces.
Sergei Golubchik, Andrew Hutchings, Andrew Hutchings, Sergii Golubchyk
MySQL has introduced a Plugin API with its latest version – a robust, powerful, and easy way of extending the server functionality with loadable modules on the fly. But until now anyone wishing to develop a plugin would almost certainly need to dig into the MySQL source code and search the Web for missing bits of the information.This is the first book on the MySQL Plugin API. Written together with one of the Plugin API primary architects, it contains all the details you need to build a plugin. It shows what a plugin should contain and how to compile, install, and package it. Every chapter illustrates the material with thoroughly explained source code examples.Starting from the basic features, common to all plugin types, and the structure of the plugin framework, this book will guide you through the different plugin types, from simple examples to advanced ones. Server monitoring, full-text search in JPEG comments, typo-tolerant searches, getting the list of all user variables, system usage statistics, or a complete storage engine with indexes – these and other plugins are developed in different chapters of this book, demonstrating the power and versatility of the MySQL Plugin API and explaining the intricate details of MySQL Plugin programming.
Designing Machine Learning Systems with Python. Key design strategies to create intelligent systems
Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these systems, it is essential that the practitioner develops a solid understanding of the underlying design principles.There are many reasons why machine learning models may not give accurate results. By looking at these systems from a design perspective, we gain a deeper understanding of the underlying algorithms and the optimisational methods that are available. This book will give you a solid foundation in the machine learning design process, and enable you to build customised machine learning models to solve unique problems. You may already know about, or have worked with, some of theoff-the-shelf machine learning models for solving common problems such as spam detection or movie classification, but to begin solving more complex problems, it is important to adapt these models to your own specific needs. This book will give you this understanding and more.