Learning VirtualDub: The Complete Guide to Capturing, Processing and Encoding Digital Video. The complete guide to capturing, processing and encoding digital video

John Buechler, Georgios Diamantopoulos, Sohail Salehi, Avery Lee

VirtualDub is one of the most popular video processing applications for Windows. As an open source application, it's free, and is constantly updated and expanded by an active community of developers and experts. VirtualDub is particularly popular for capturing video from analogue sources such as video tape, cleaning up the image and compressing it ready for distribution over the Internet. This book provides a rapid and easy to use tutorial to the basic features of VirtualDub to get you up and running quickly. It explains how to capture great quality video from various sources, use filters to clean up the captured image and add special effects. The book also shows how to use VirtualDub to cut and paste video to remove or insert sequences, including removing ad breaks or trailers. It goes on to cover the art of effective encoding and compression, so you end up with great quality videos that won't hog your bandwidth forever. VirtualDub is the fastest and most effective way to capture, process and encode video on your PC. This book gets you started fast, and goes on to give you full control of all the features of this legendary tool.

Getting Started with Unity 5. Leverage the power of Unity 5 to create amazing 3D games

Dr. Edward Lavieri

DevSecOps in Practice with VMware Tanzu. Build, run, and manage secure multi-cloud apps at scale on Kubernetes with the Tanzu portfolio

Parth Pandit, Robert Hardt

As Kubernetes (or K8s) becomes more prolific, managing large clusters at scale in a multi-cloud environment becomes more challenging – especially from a developer productivity and operational efficiency point of view. DevSecOps in Practice with VMware Tanzu addresses these challenges by automating the delivery of containerized workloads and controlling multi-cloud Kubernetes operations using Tanzu tools.This comprehensive guide begins with an overview of the VMWare Tanzu platform and discusses its tools for building useful and secure applications using the App Accelerator, Build Service, Catalog service, and API portal. Next, you’ll delve into running those applications efficiently at scale with Tanzu Kubernetes Grid and Tanzu Application Platform. As you advance, you’ll find out how to manage these applications, and control, observe, and connect them using Tanzu Mission Control, Tanzu Observability, and Tanzu Service Mesh. Finally, you’ll explore the architecture, capabilities, features, installation, configuration, implementation, and benefits of these services with the help of examples.By the end of this VMware book, you’ll have gained a thorough understanding of the VMWare Tanzu platform and be able to efficiently articulate and solve real-world business problems.

Attracting IT Graduates to Your Business. Capture the best new IT talent for your company

An Coppens

Implementing AppFog. Getting to grips with the AppFog service is easily achieved with this hands-on guide, which walks you through creating and deploying applications to the cloud. You'll be developing your first application in minutes

Matthew Nohr, Isaac Rabinovitch

AppFog is the leading platform-as-a-service provider of PHP, Ruby, Node.js, and Java solutions. It is used by developers worldwide to deploy tens of thousands of applications. AppFog delivers a reliable, scalable, and fast platform for deploying applications in the cloud.This book is a hands-on guide that will walk you through creating and deploying applications to the cloud using AppFog, which will allow you to get your application deployed without the hassle of setting up servers.This book demonstrates how to use the AppFog service to build an application and have it running in the Cloud. It will walk you through the initial AppFog setup process and explain how to create your first application in minutes.You will also discover how to use services such as databases to make your applications more powerful. You will also learn how to create applications from scratch.You will find out everything you need to know to get an application running in the cloud for the first time.

Threat Hunting with Elastic Stack. Solve complex security challenges with integrated prevention, detection, and response

Andrew Pease

Threat Hunting with Elastic Stack will show you how to make the best use of Elastic Security to provide optimal protection against cyber threats. With this book, security practitioners working with Kibana will be able to put their knowledge to work and detect malicious adversary activity within their contested network.You'll take a hands-on approach to learning the implementation and methodologies that will have you up and running in no time. Starting with the foundational parts of the Elastic Stack, you'll explore analytical models and how they support security response and finally leverage Elastic technology to perform defensive cyber operations.You’ll then cover threat intelligence analytical models, threat hunting concepts and methodologies, and how to leverage them in cyber operations. After you’ve mastered the basics, you’ll apply the knowledge you've gained to build and configure your own Elastic Stack, upload data, and explore that data directly as well as by using the built-in tools in the Kibana app to hunt for nefarious activities.By the end of this book, you'll be able to build an Elastic Stack for self-training or to monitor your own network and/or assets and use Kibana to monitor and hunt for adversaries within your network.

Rust for Blockchain Application Development. Learn to build decentralized applications on popular blockchain technologies using Rust

Akhil Sharma

Before Rust, blockchain developers didn’t have a systems programming language that was type-safe, fast, and, at the same time, had stable and easy memory management. Rust proved to be a boon for developers and works as the perfect solution for not only blockchain and protocol development but also dApp development.Rust for Blockchain Application Development focuses on demonstrating solutions that can help blockchain developers productize decentralized applications using Rust, which is a complex language with a steep learning curve.This book starts with basic Rust language concepts and then builds on these concepts to enable you to develop your own blockchain from scratch. As you progress, you’ll learn how to build dApps on popular chains like Solana and NEAR. You’ll also be guided through creating Ethereum dApps using Foundry (Rust). Finally, you’ll develop a custom blockchain using Substrate by Parity (Polkadot). The book provides a complete 360-degree view of Rust in the blockchain ecosystem.By the end of this Rust book, you’ll have a thorough understanding of how to apply your Rust knowledge to building dApps and blockchains from scratch.

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt

Somanath Nanda, Weslley Moura

The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS.Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them.By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.