Rancher Deep Dive. Manage enterprise Kubernetes seamlessly with Rancher

Matthew Mattox

Knowing how to use Rancher enables you to manage multiple clusters and applications without being locked into a vendor’s platform. This book will guide you through Rancher’s capabilities while deepening your understanding of Kubernetes and helping you to take your applications to a new level.The book begins by introducing you to Rancher and Kubernetes, helping you to learn and implement best practices. As you progress through the chapters, you’ll understand the strengths and limitations of Rancher and Kubernetes and discover all the different ways to deploy Rancher. You’ll also find out how to design and deploy Kubernetes clusters to match your requirements. The concluding chapters will show you how to set up a continuous integration and continuous deployment (CI/CD) pipeline for deploying applications into a Rancher cluster, along with covering supporting services such as image registries and Helm charts.By the end of this Kubernetes book, you’ll be able to confidently deploy your mission-critical production workloads on Rancher-managed Kubernetes clusters.

Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

Jarred Capellman

Machine learning (ML) is widely used in many industries such as science, healthcare, and research and its popularity is only growing. In March 2018, Microsoft introduced ML.NET to help .NET enthusiasts in working with ML. With this book, you’ll explore how to build ML.NET applications with the various ML models available using C# code.The book starts by giving you an overview of ML and the types of ML algorithms used, along with covering what ML.NET is and why you need it to build ML apps. You’ll then explore the ML.NET framework, its components, and APIs. The book will serve as a practical guide to helping you build smart apps using the ML.NET library. You’ll gradually become well versed in how to implement ML algorithms such as regression, classification, and clustering with real-world examples and datasets. Each chapter will cover the practical implementation, showing you how to implement ML within .NET applications. You’ll also learn to integrate TensorFlow in ML.NET applications. Later you’ll discover how to store the regression model housing price prediction result to the database and display the real-time predicted results from the database on your web application using ASP.NET Core Blazor and SignalR.By the end of this book, you’ll have learned how to confidently perform basic to advanced-level machine learning tasks in ML.NET.

Instant Spring for Android Starter. Leverage Spring for Android to create RESTful and OAuth Android apps

Anthony Dahanne

The possibility to connect to remote web services is a key feature for most Android apps. REST (Representational State Transfer) is the most popular architecture to provide web services to mobile devices and others. OAuth has recently become the web's favorite way to authenticate and authorize users and apps, thanks to its capability to re-use popular web platforms accounts (Google, Facebook, Twitter). Spring for Android is an extension of the Spring Framework that aims to simplify the development of native Android applications.Instant Spring for Android Starterr is a practical, hands-on guide that provides you with a number of clear step-by-step exercises, which will help you take advantage of the abstractions offered by Spring for Android with regard to REST (RestTemplate) and OAuth (OAuthTemplate). It will also introduce you to the bases of those architectures and the associated tooling.This book gets you started using Spring for Android, first letting you know how to set up your workspace to include those libraries in your projects (with the Eclipse IDE and also with the popular building tool Maven) and then providing some clear and real life examples of RESTful and OAUth backed Android applications.After introducing the technology, we'll discover the different Message Converters provided (to consume JSON, XML, and Atom web services) and the main HTTP verbs to interact with RESTful webservices: GET, POST, DELETE, and UPDATE. We'll also mention how to support HTTP Basic Auth, Gzip compression, and finally put in practice the OAuth workflow with a concrete example relying on the Google OAuth service provider to authenticate and authorize an app and users.You will learn everything you need to consume RESTful web services, authenticate your users, and interact with their social platforms profiles from your Android app.

Digital Java EE 7 Web Application Development. Develop Java enterprise applications to meet the emerging digital standards using Java EE 7

Peter Pilgrim

Digital Java EE 7 presents you with an opportunity to master writing great enterprise web software using the Java EE 7 platform with the modern approach to digital service standards. You will first learn about the lifecycle and phases of JavaServer Faces, become completely proficient with different validation models and schemes, and then find out exactly how to apply AJAX validations and requests. Next, you will touch base with JSF in order to understand how relevant CDI scopes work. Later, you’ll discover how to add finesse and pizzazz to your digital work in order to improve the design of your e-commerce application. Finally, you will deep dive into AngularJS development in order to keep pace with other popular choices, such as Backbone and Ember JS. By the end of this thorough guide, you’ll have polished your skills on the Digital Java EE 7 platform and be able to creat exiting web application.

Apache Maven Cookbook. Over 90 hands-on recipes to successfully build and automate development life cycle tasks following Maven conventions and best practices

Raghuram Bharathan, SRIRANGAN .

Django Design Patterns and Best Practices. Industry-standard web development techniques and solutions using Python - Second Edition

Arun Ravindran

Building secure and maintainable web applications requires comprehensive knowledge. The second edition of this book not only sheds light on Django, but also encapsulates years of experience in the form of design patterns and best practices. Rather than sticking to GoF design patterns, the book looks at higher-level patterns. Using the latest version of Django and Python, you’ll learn about Channels and asyncio while building a solid conceptual background. The book compares design choices to help you make everyday decisions faster in a rapidly changing environment.You’ll first learn about various architectural patterns, many of which are used to build Django. You’ll start with building a fun superhero project by gathering the requirements, creating mockups, and setting up the project. Through project-guided examples, you’ll explore the Model, View, templates, workflows, and code reusability techniques. In addition to this, you’ll learn practical Python coding techniques in Django that’ll enable you to tackle problems related to complex topics such as legacy coding, data modeling, and code reusability.You’ll discover API design principles and best practices, and understand the need for asynchronous workflows. During this journey, you’ll study popular Python code testing techniques in Django, various web security threats and their countermeasures, and the monitoring and performance of your application.

JSF 1.2 Components. Develop advanced Ajax-enabled JSF applications

IAN HLAVATS

Today's web developers need powerful tools to deliver richer, faster, and smoother web experiences. JavaServer Faces includes powerful, feature-rich, Ajax-enabled UI components that provide all the functionality needed to build web applications in a Web 2.0 world. It's the perfect way to build rich, interactive, and Web 2.0-style Java web apps.This book provides a comprehensive introduction to the most popular JSF components available today and demonstrate step-by-step how to build increasingly sophisticated JSF user interfaces with standard JSF, Facelets, Apache Tomahawk/Trinidad, ICEfaces, JBoss Seam, JBoss RichFaces/Ajax4jsf, and JSF 2.0 components. JSF 1.2 Components is both an excellent starting point for new JSF developers, and a great reference and “how to” guide for experienced JSF professionals.This book progresses logically from an introduction to standard JSF HTML, and JSF Core components to advanced JSF UI development. As you move through the book, you will learn how to build composite views using Facelets tags, implement common web development tasks using Tomahawk components, and add Ajax capabilities to your JSF user interface with ICEfaces components. You will also learn how to solve the complex web application development challenges with the JBoss Seam framework. At the end of the book, you will be introduced to the new and up-coming JSF component libraries that will provide a road map of the future JSF technologies.

Hands-On Edge Analytics with Azure IoT. Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

Colin Dow

Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it’s gaining momentum.You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you’ve learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure.By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.