Apache Solr Search Patterns. Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently

Jayant Kumar

Incident Response with Threat Intelligence. Practical insights into developing an incident response capability through intelligence-based threat hunting

Roberto Martinez

With constantly evolving cyber threats, developing a cybersecurity incident response capability to identify and contain threats is indispensable for any organization regardless of its size. This book covers theoretical concepts and a variety of real-life scenarios that will help you to apply these concepts within your organization.Starting with the basics of incident response, the book introduces you to professional practices and advanced concepts for integrating threat hunting and threat intelligence procedures in the identification, contention, and eradication stages of the incident response cycle. As you progress through the chapters, you'll cover the different aspects of developing an incident response program. You'll learn the implementation and use of platforms such as TheHive and ELK and tools for evidence collection such as Velociraptor and KAPE before getting to grips with the integration of frameworks such as Cyber Kill Chain and MITRE ATT&CK for analysis and investigation. You'll also explore methodologies and tools for cyber threat hunting with Sigma and YARA rules.By the end of this book, you'll have learned everything you need to respond to cybersecurity incidents using threat intelligence.

Linux Kernel Debugging. Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules

Kaiwan N. Billimoria

The Linux kernel is at the very core of arguably the world’s best production-quality OS. Debugging it, though, can be a complex endeavor.Linux Kernel Debugging is a comprehensive guide to learning all about advanced kernel debugging. This book covers many areas in-depth, such as instrumentation-based debugging techniques (printk and the dynamic debug framework), and shows you how to use Kprobes. Memory-related bugs tend to be a nightmare – two chapters are packed with tools and techniques devoted to debugging them. When the kernel gifts you an Oops, how exactly do you interpret it to be able to debug the underlying issue? We’ve got you covered. Concurrency tends to be an inherently complex topic, so a chapter on lock debugging will help you to learn precisely what data races are, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing; you’ll learn to wield the impressive power of Ftrace and its frontends. You’ll also discover how to handle kernel lockups, hangs, and the dreaded kernel panic, as well as leverage the venerable GDB tool within the kernel (KGDB), along with much more.By the end of this book, you will have at your disposal a wide range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.

Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way

Trenton Potgieter, Jonathan Dahlberg

AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services.Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team.By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.

Mastering Blockchain Programming with Solidity. Write production-ready smart contracts for Ethereum blockchain with Solidity

Jitendra Chittoda

Solidity is among the most popular and contract-oriented programming languages used for writing decentralized applications (DApps) on Ethereum blockchain. If you’re looking to perfect your skills in writing professional-grade smart contracts using Solidity, this book can help.You will get started with a detailed introduction to blockchain, smart contracts, and Ethereum, while also gaining useful insights into the Solidity programming language. A dedicated section will then take you through the different Ethereum Request for Comments (ERC) standards, including ERC-20, ERC-223, and ERC-721, and demonstrate how you can choose among these standards while writing smart contracts. As you approach later chapters, you will cover the different smart contracts available for use in libraries such as OpenZeppelin. You’ll also learn to use different open source tools to test, review and improve the quality of your code and make it production-ready. Toward the end of this book, you’ll get to grips with techniques such as adding security to smart contracts, and gain insights into various security considerations. By the end of this book, you will have the skills you need to write secure, production-ready smart contracts in Solidity from scratch for decentralized applications on Ethereum blockchain.

Nmap 6: Network Exploration and Security Auditing Cookbook. Want to master Nmap and its scripting engine? Then this book is for you – packed with practical tasks and precise instructions, it’s a comprehensive guide to penetration testing and network monitoring. Security in depth

Paulino Calderon, Gordon Lyon

Nmap is a well known security tool used by penetration testers and system administrators. The Nmap Scripting Engine (NSE) has added the possibility to perform additional tasks using the collected host information. Tasks like advanced fingerprinting and service discovery, information gathering, and detection of security vulnerabilities.Nmap 6: Network exploration and security auditing cookbook will help you master Nmap and its scripting engine. You will learn how to use this tool to do a wide variety of practical tasks for pentesting and network monitoring. Finally, after harvesting the power of NSE, you will also learn how to write your own NSE scripts.Nmap 6: Network exploration and security auditing cookbook is a book full of practical knowledge for every security consultant, administrator or enthusiast looking to master Nmap. The book overviews the most important port scanning and host discovery techniques supported by Nmap. You will learn how to detect mis-configurations in web, mail and database servers and also how to implement your own monitoring system. The book also covers tasks for reporting, scanning numerous hosts, vulnerability detection and exploitation, and its strongest aspect; information gathering.

Mastering Adobe Animate 2023. A comprehensive guide to designing modern, animated, and interactive content using Animate - Third Edition

Joseph Labrecque

Adobe Animate is a platform-agnostic asset creation application that enables you to create motion design and vector animations while facilitating interactivity across other Adobe software such as After Effects, Photoshop, and Illustrator. This book comes packed with explanations of essential concepts and step-by-step walk-throughs of practical examples, guiding you in using Animate to create immersive experiences and breaking the walls of creative limitations.In this third edition, you’ll begin by getting up to speed with the features of Adobe Animate. You'll learn how to set up Animate as a creative platform and explore the enhancements introduced in its most recent versions. The book will show you how to consume and produce media assets for different platforms through the publish and export workflows. You'll explore advanced rigging workflows and discover how to create more dynamic animations with complex depth and movement techniques. As the book demonstrates different ways of channeling your creativity through Animate, you'll be able to build projects such as games, virtual reality experiences, generative art, and apps for various platforms. Finally, this graphic design book covers the different methods used to extend the software to meet various user requirements.By the end of this book, you'll be able to produce a variety of media assets, motion graphic designs, animated artifacts, and interactive content pieces for platforms such as HTML5 Canvas, WebGL, and mobile devices.

The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting

David Ping

When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.