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Podcasts
Splunk is a data collection, indexing, and visualization engine for operational intelligence. It's a powerful and versatile search and analysis engine that lets you investigate, troubleshoot, monitor, alert, and report on everything that's happening in your entire IT infrastructure from one location in real time. Splunk collects, indexes, and harnesses all the fast moving machine data generated by our applications, servers, and devices - physical, virtual, and in the cloud.Given a mountain of machine data, this book shows you exactly how to learn to use Splunk to make something useful from it. Depending on your needs, you can learn to search, transform, and display data, or learn to administer your Splunk installation, large or small. Implementing Splunk: Big Data Reporting and Development for Operational Intelligence will help you get your job done faster, whether you read from the beginning or jump to what you need to know today. New and experienced users alike will find nuggets of wisdom throughout.This book provides you with valuable examples and step-by-step instructions, showing you how to take advantage of everything Splunk has to offer you, to make the most out of your machine data.Implementing Splunk: Big Data Reporting and Development for Operational Intelligence takes you on a journey right from inception to a fully functioning implementation of Splunk. Using a real-world data walkthrough, you'll be shown how to search effectively, create fields, build dashboards, reports, and package apps, manage your indexes, integrate into the enterprise, and extend Splunk. This practical implementation guide equips you with high-level knowledge for configuring, deploying, extending, and integrating Splunk. Depending on the goal and skills of the reader, enough topics are covered to get you on your way to dashboard guru, app developer, or enterprise administrator. This book uses examples curates reference, and sage advice to help you make the most of this incredibly powerful tool.
The OpenGL Shading Language (GLSL) is a programming language used for customizing parts of the OpenGL graphics pipeline that were formerly fixed-function, and are executed directly on the GPU. It provides programmers with unprecedented flexibility for implementing effects and optimizations utilizing the power of modern GPUs. With version 4.0, the language has been further refined to provide programmers with greater flexibility, and additional features have been added such as an entirely new stage called the tessellation shader.The OpenGL Shading Language 4.0 Cookbook provides easy-to-follow examples that first walk you through the theory and background behind each technique then go on to provide and explain the GLSL and OpenGL code needed to implement it. Beginning level through to advanced techniques are presented including topics such as texturing, screen-space techniques, lighting, shading, tessellation shaders, geometry shaders, and shadows.The OpenGL Shading Language 4.0 Cookbook is a practical guide that takes you from the basics of programming with GLSL 4.0 and OpenGL 4.0, through basic lighting and shading techniques, to more advanced techniques and effects. It presents techniques for producing basic lighting and shading effects; examples that demonstrate how to make use of textures for a wide variety of effects and as part of other techniques; examples of screen-space techniques, shadowing, tessellation and geometry shaders, noise, and animation.The OpenGL Shading Language 4.0 Cookbook provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer graphics applications.
Josh Diakun, Derek Mock, Paul R. Johnson
Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization.You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization.Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it.
OpenGL 4 Shading Language Cookbook, Third Edition provides easy-to-follow recipes that first walk you through the theory and background behind each technique, and then proceed to showcase and explain the GLSL and OpenGL code needed to implement them.The book begins by familiarizing you with beginner-level topics such as compiling and linking shader programs, saving and loading shader binaries (including SPIR-V), and using an OpenGL function loader library. We then proceed to cover basic lighting and shading effects. After that, you'll learn to use textures, produce shadows, and use geometry and tessellation shaders. Topics such as particle systems, screen-space ambient occlusion, deferred rendering, depth-based tessellation, and physically based rendering will help you tackle advanced topics.OpenGL 4 Shading Language Cookbook, Third Edition also covers advanced topics such as shadow techniques (including the two of the most common techniques: shadow maps and shadow volumes). You will learn how to use noise in shaders and how to use compute shaders.The book provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer-graphics applications.
Omar A. Turner, Navya Lakshmana
Preparing for the Certified Cloud Security Professional (CCSP) exam can be challenging, as it covers a wide array of topics essential for advancing a cybersecurity professional’s career by validating their technical skills. To prepare for the CCSP exam, you need a resource that not only covers all the exam objectives but also helps you prepare for the format and structure of the exam.Written by two seasoned cybersecurity professionals with a collective experience of hundreds of hours training CCSP bootcamps, this CCSP study guide reflects the journey you’d undertake in such training sessions.The chapters are packed with up-to-date information necessary to pass the (ISC)2 CCSP exam. Additionally, to boost your confidence, the book provides self-assessment questions, exam tips, and mock exams with detailed answer explanations. You’ll be able to deepen your understanding using illustrative explanations that briefly review key points.As you progress, you’ll delve into advanced technical aspects of cloud domain security, such as application security, design, managing and securing data, and infrastructure in the cloud using best practices and legal policies and procedures.By the end of this guide, you’ll be ready to breeze through the exam and tackle real-world cloud security challenges with ease.
Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.
In today’s world, every CPU has a multi-core processor. However, unless your application has implemented parallel programming, it will fail to utilize the hardware’s full processing capacity. This book will show you how to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8.Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors. Once you’ve understood the fundamentals of threading and concurrency, you’ll gain insights into the data structure in .NET Core that supports parallelism. The book will then help you perform asynchronous programming in C# and diagnose and debug parallel code effectively. You’ll also get to grips with the new Kestrel server and understand the difference between the IIS and Kestrel operating models. Finally, you’ll learn best practices such as test-driven development, and run unit tests on your parallel code.By the end of the book, you’ll have developed a deep understanding of the core concepts of concurrency and asynchrony to create responsive applications that are not CPU-intensive.