JBoss AS 5 Performance Tuning. Build faster, more efficient enterprise Java applications

Francesco Marchioni, Jason Savod

Today's organizations need to deliver faster services to a large set of people and businesses. In order to survive this challenge, enterprises need to optimize the performance of their application server along with its components and hardware. Writing faster applications is no longer just an option for your products; it's an imperative requirement, which you cannot ignore.JBoss AS 5 Performance Tuning will teach you how to deliver fast applications on the JBoss Application Server and Apache Tomcat, giving you a decisive competitive advantage over your competitors. You will learn how to optimize the hardware resources, meeting your application requirements with less expenditure.The performance of Java Enterprise applications is the sum of a set of components including the Java Virtual Machine configuration, the application server configuration (in our case, JBoss AS), the application code itself and ultimately the operating system. This book will show you how to apply the correct tuning methodology and use the tuning tools that will help you to monitor and address any performance issues.By looking more closely at the Java Virtual Machine, you will get a deeper understanding of what the available options are for your applications and how their performance will be affected. You will learn about thread pool tuning, EJB tuning, JMS tuning, Enterprise Java Beans, and the Java Messaging Service.The persistence layer and JBoss Clustering service each have a chapter dedicated to them as they are two of the most crucial elements to configure correctly in order to run a fast application.You will also learn how to tune your web server, enabling you to configure and develop web applications that get the most out of the embedded Tomcat web server.

Mastering Android NDK. Master the skills you need to develop portable, highly-functional Android applications using NDK

Viktor Latypov, Viktor Latypov, Sergey Kosarevsky

Android NDK is used for multimedia applications that require direct access to system resources. NDK is also the key for portability, which in turn allows a reasonably comfortable development and debugging process using familiar tools such as GCC and Clang toolchains.This is a hands-on guide to extending your game development skills with Android NDK. The book takes you through many clear, step-by-step example applications to help you further explore the features of Android NDK and some popular C++ libraries and boost your productivity by debugging the development process.Through the course of this book, you will learn how to write portable multi-threaded native code, use HTTP networking in C++, play audio files, use OpenGL ES 3, and render high-quality text. Each chapter aims to take you one step closer to building your application. By the end of this book, you will be able to create an engaging, complete gaming application.

vSphere Virtual Machine Management. This tutorial will help VMware administrators fine-tune and expand their expertise with vSphere. From creating and configuring virtual machines to optimizing performance, it’s all here in a crystal clear series of chapters

Rebecca Fitzhugh

Shopify Application Development. Build highly effective Shopify apps using the powerful Ruby on Rails framework

Michael Larkin

Learning Boost C++ Libraries. Solve practical programming problems using powerful, portable, and expressive libraries from Boost

Arindam Mukherjee

Extending Microsoft Business Central with Power Platform. Leverage Power Platform to create scalable Business Central solutions with high business value

Kim Congleton, Shawn Sissenwein

Unlock the untapped potential of Business Central by harnessing the power of the Power Platform with this comprehensive guide, transforming your cumbersome manual processes and limited customization capabilities into a vast array of extended functionalities and possibilities.You’ll begin by exploring the potential of Power Platform and its seamless integration with both the on-premises and cloud versions of Business Central, amplifying the capabilities of your business operations. You’ll then learn how to set up virtual tables and use Dataverse to create a simple model-driven app. As the book progresses, you’ll leverage Power Apps, including both Canvas apps and model-driven apps, to build apps around Business Central processes. The book also highlights Power Automate’s capabilities to create or modify business processes while incorporating new processes and automation. As you advance, you’ll connect to Business Central APIs that can be implemented to connect with Business Central Data and finally integrate Power BI natively with Business Central, empowering you to construct advanced reports and dashboards.With the hands-on experience gained throughout the book, you’ll build expertise in customizing Business Central with Power Platform to deliver more scalable and maintainable solutions.

De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning

Seaport AI Madhavan

Beginning with basic concepts like central tendency, dispersion, and types of distribution, this course will help you build a robust understanding of data analysis. It progresses to more advanced topics, including hypothesis testing, outliers, and the intricacies of dependent versus independent variables, ensuring you grasp the statistical tools necessary for data-driven decision-making.Moving ahead, you'll explore the mathematical frameworks crucial for machine learning algorithms. Learn about the significance of percentiles, the distinction between population and sample, and the vital role of precision versus accuracy in data science. Chapters on linear algebra and regression will enhance your ability to implement and interpret complex models, while practical lessons on measuring algorithm accuracy and understanding key machine learning concepts will round out your expertise.The course culminates with an in-depth look at specific machine learning techniques such as decision trees, k-nearest neighbors (kNN), and gradient descent. Each chapter builds on the last, guiding you through a logical progression of knowledge and skills. By the end, you will have not only mastered the theoretical aspects but also gained practical insights into applying these techniques in real-world scenarios.

Using Yocto Project with BeagleBone Black. Unleash the power of the BeagleBone Black embedded platform with Yocto Project

Hafiz Muhammad I Sadiq, Irfan Sadiq