Mastering Prometheus. Gain expert tips to monitoring your infrastructure, applications, and services

William Hegedus

With an increased focus on observability and reliability, establishing a scalable and reliable monitoring environment is more important than ever. Over the last decade, Prometheus has emerged as the leading open-source, time-series based monitoring software catering to this demand. This book is your guide to scaling, operating, and extending Prometheus from small on-premises workloads to multi-cloud globally distributed workloads and everything in between.Starting with an introduction to Prometheus and its role in observability, the book provides a walkthrough of its deployment. You’ll explore Prometheus’s query language and TSDB data model, followed by dynamic service discovery for monitoring targets and refining alerting through custom templates and formatting. The book then demonstrates horizontal scaling of Prometheus via sharding and federation, while equipping you with debugging techniques and strategies to fine-tune data ingestion. Advancing through the chapters, you’ll manage Prometheus at scale through CI validations and templating with Jsonnet, and integrate Prometheus with other projects such as OpenTelemetry, Thanos, VictoriaMetrics, and Mimir.By the end of this book, you’ll have practical knowledge of Prometheus and its ecosystem, which will help you discern when, why, and how to scale it to meet your ever-growing needs.

System Programming Essentials with Go. System calls, networking, efficiency, and security practices with practical projects in Golang

Alex Rios

Alex Rios, a seasoned Go developer and active community builder, shares his 15 years of expertise in designing large-scale systems through this book. It masterfully cuts through complexity, enabling you to build efficient and secure applications with Go's streamlined syntax and powerful concurrency features.In this book, you’ll learn how Go, unlike traditional system programming languages (C/C++), lets you focus on the problem by prioritizing readability and elevating developer experience with features like automatic garbage collection and built-in concurrency primitives, which remove the burden of low-level memory management and intricate synchronization.Through hands-on projects, you'll master core concepts like file I/O, process management, and inter-process communication to automate tasks and interact with your system efficiently. You'll delve into network programming in Go, equipping yourself with the skills to build robust, distributed applications. This book goes beyond the basics by exploring modern practices like logging and tracing for comprehensive application monitoring, and advance to distributed system design using Go to prepare you to tackle complex architectures.By the end of this book, you'll emerge as a confident Go system programmer, ready to craft high-performance, secure applications for the modern world.

Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes

Pui Shing Lee, Dr. Toa Charm

In the competitive data-centric world, mastering data stewardship is not just a requirement—it's the key to organizational success. Unlock strategic excellence with Data Stewardship in Action, your guide to exploring the intricacies of data stewardship and its implementation for maximum efficiency.From business strategy to data strategy, and then to data stewardship, this book shows you how to strategically deploy your workforce, processes, and technology for efficient data processing. You’ll gain mastery over the fundamentals of data stewardship, from understanding the different roles and responsibilities to implementing best practices for data governance. You’ll elevate your data management skills by exploring the technologies and tools for effective data handling. As you progress through the chapters, you’ll realize that this book not only helps you develop the foundational skills to become a successful data steward but also introduces innovative approaches, including leveraging AI and GPT, for enhanced data stewardship.By the end of this book, you’ll be able to build a robust data governance framework by developing policies and procedures, establishing a dedicated data governance team, and creating a data governance roadmap that ensures your organization thrives in the dynamic landscape of data management.

Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond. Master Azure administration and pass the AZ-104 exam with confidence - Third Edition

Donovan Kelly

Take the first step toward excellence in Azure management and earning your Microsoft certification with this hands-on guide!This third edition of Exam Ref AZ-104 Microsoft Azure Administrator Certification and Beyond offers comprehensive insights and step-by-step instructions that follow the latest AZ-104 exam objectives. You’ll work your way from foundational topics such as Azure identity management and governance to essential skills such as deploying and managing storage solutions, configuring virtual networks, and monitoring Azure resources. Each chapter includes practice questions to reinforce your understanding and enhance your practical skills. The book also provides you with access to online mock exams, interactive flashcards, and expert exam tips, helping you assess your readiness and boost your confidence before the exam.By the end of this book, you won’t just be prepared to pass the AZ-104 exam – you’ll also have the expertise needed to efficiently manage Azure environments in real-world scenarios.

Arduino IoT Cloud for Developers. Implement best practices to design and deploy simple-to-complex projects at reduced costs

Muhammad Afzal

The Arduino IoT Cloud offers a variety of features for building modern IoT solutions while reducing time and costs for prototyping and deployment. This book is a step-by-step guide, helping you master the powerful Arduino IoT Cloud ecosystem. This book begins by introducing you to the IoT landscape including its architecture, communication technologies, and protocols and then to the capabilities of the Arduino IoT Cloud platform and the Cloud Editor. With practical projects, such as monitoring air quality, building a portable asset tracker, and creating a remote alarm system using the LoRaWAN specification, you'll learn how to implement real-world IoT applications. Next, you'll explore communication between IoT devices and cloud platforms as well as the implementation of the Arduino IoT Cloud SDK and JavaScript for advanced customization. You'll also find out how to program IoT nodes, analyze the surrounding environment data, and visualize it on dashboards. Additionally, you’ll get to grips with advanced features such as task scheduling, synchronization, remote over-the-air updates for IoT nodes, and scripting with CCLI, through hands-on examples.By the end of this book, you’ll have learned how to work with the Arduino IoT Cloud platform and related hardware devices and will be able to develop industry-specific and cost-effective IoT solutions, such as smart homes and smart agriculture.

Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights

Oliver Theobald

With an introductory overview, the course prepares you for a deep dive into the practical application of Scikit-Learn and the datasets that bring theories to life. From the basics of machine learning to the intricate details of setting up a sandbox environment, this course covers the essential groundwork for any aspiring data scientist.The course focuses on developing your skills in working with data, implementing data reduction techniques, and understanding the intricacies of item-based and user-based collaborative filtering, along with content-based filtering. These core methodologies are crucial for creating accurate and efficient recommender systems that cater to the unique preferences of users. Practical examples and evaluations further solidify your learning, making complex concepts accessible and manageable.The course wraps up by addressing the critical topics of privacy, ethics in machine learning, and the exciting future of recommender systems. This holistic approach ensures that you not only gain technical proficiency but also consider the broader implications of your work in this field. With a final look at further resources, your journey into machine learning and recommender systems is just beginning, armed with the knowledge and tools to explore new horizons.

Mastering Terraform. A practical guide to building and deploying infrastructure on AWS, Azure, and GCP

Mark Tinderholt, Armon Dadgar

As cloud technology and automation evolve, managing infrastructure as code, integrating security, and handling microservices complexity have become critical challenges. This book takes a hands-on approach to teaching Terraform, helping you build efficient cloud infrastructure using real-world scenarios and best practices.It begins with an introduction to Terraform's architecture, covering its command-line interface and HashiCorp Configuration Language. You’ll learn best practices, architectural patterns, and how to implement Terraform across virtual machines, Docker/Kubernetes, serverless environments, and cloud platforms like AWS, Azure, and GCP. The book also covers integrating Terraform into CI/CD pipelines with other technologies to automate infrastructure provisioning and management.Additional chapters focus on security, monitoring, troubleshooting, and cost optimization. You'll also gain insights into preparing for the Terraform Associate certification. By the end, you’ll have the skills to build, automate, and manage cloud infrastructure effectively.

Apps and Services with .NET 8. Build practical projects with Blazor, .NET MAUI, gRPC, GraphQL, and other enterprise technologies - Second Edition

Mark J. Price

Elevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8.With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps.This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services.By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.

Effective .NET Memory Management. Build memory-efficient cross-platform applications using .NET Core

Trevoir Williams

In today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.

Bare-Metal Embedded C Programming. Develop high-performance embedded systems with C for Arm microcontrollers

Israel Gbati, Georgios Papanikolaou

Bare-Metal Embedded C Programming takes you on an unparalleled journey to equip you with the skills and knowledge to excel in the world of embedded systems. The author, with over a decade of hands-on experience in engineering, takes a unique, practical approach to teach you how to decode microcontroller datasheets so that you’re able to extract vital information for precise firmware development. Register manipulation will become second nature to you as you learn to craft optimized code from scratch.The book provides in-depth insights into the hardware intricacies of microcontrollers. You'll navigate user manuals and documentation with ease, ensuring a profound understanding of the underlying technology. The true uniqueness of this book lies in its commitment to fostering independent expertise. Instead of simply copy pasting, you'll develop the capability to create firmware with confidence, paving the way for professional-grade mastery.By the end of this book, you'll have honed your skills in reading datasheets, performing register manipulations, and crafting optimized code, as well as gained the confidence needed to navigate hardware intricacies and write optimized firmware independently, making you a proficient and self-reliant embedded systems developer.

Quick Start Kubernetes. Unlock the Full Potential of Kubernetes for Scalable Application Management - Second Edition

Nigel Poulton

Begin with an introduction to Kubernetes, understanding its importance and architecture. These foundational chapters will set the stage for your exploration into Kubernetes' capabilities. As you progress, you'll learn how to set up Kubernetes and containerize an application, equipping you with practical skills for real-world application management.The course continues with a focus on running applications on Kubernetes, where you will delve into self-healing mechanisms, scaling, and performing rolling updates. Each chapter builds on the last, ensuring a seamless learning experience that integrates theoretical knowledge with hands-on practice. You'll understand how Kubernetes maintains application health and performance, providing a robust environment for modern applications.Concluding with advanced operational techniques and future steps, the course prepares you to leverage Kubernetes for continuous development and deployment. Whether you're scaling applications to meet demand or ensuring seamless updates with minimal downtime, you'll be equipped with the skills necessary for efficient and effective Kubernetes management. This course is your gateway to becoming proficient in one of the most essential tools in the DevOps toolkit.

React and React Native. Build cross-platform JavaScript and TypeScript apps for the web, desktop, and mobile - Fifth Edition

Mikhail Sakhniuk, Adam Boduch

Welcome to your big-picture guide to the React ecosystem.If you’re new to React and looking to become a professional React developer, this book is for you. This updated fifth edition reflects the current state of React, including React framework coverage as well as TypeScript.Part 1 introduces you to React. You’ll discover JSX syntax, hooks, functional components, and event handling, learn techniques to fetch data from a server, and tackle the tricky problem of state management. Once you’re comfortable with writing React in JavaScript, you’ll pick up TypeScript development in later chapters.Part 2 transitions you into React Native for mobile development. React Native goes hand-in-hand with React. With your React knowledge behind you, you’ll appreciate where and how React Native differs as you write shared components for Android and iOS apps. You’ll learn how to build responsive layouts, use animations, and implement geolocation.By the end of this book, you’ll have a big-picture view of React and React Native and be able to build applications with both.

Jakarta EE Application Development. Build enterprise applications with Jakarta CDI, RESTful web services, JSON Binding, persistence, and security - Second Edition

David R. Heffelfinger

Jakarta EE stands as a robust standard with multiple implementations, presenting developers with a versatile toolkit for building enterprise applications. However, despite the advantages of enterprise application development, vendor lock-in remains a concern for many developers, limiting flexibility and interoperability across diverse environments.This Jakarta EE application development guide addresses the challenge of vendor lock-in by offering comprehensive coverage of the major Jakarta EE APIs and goes beyond the basics to help you develop applications deployable on any Jakarta EE compliant runtime.This book introduces you to JSON Processing and JSON Binding and shows you how the Model API and the Streaming API are used to process JSON data. You’ll then explore additional Jakarta EE APIs, such as WebSocket and Messaging, for loosely coupled, asynchronous communication and discover ways to secure applications with the Jakarta EE Security API. Finally, you'll learn about Jakarta RESTful web service development and techniques to develop cloud-ready microservices in Jakarta EE.By the end of this book, you'll have developed the skills to craft secure, scalable, and cloud-native microservices that solve modern enterprise challenges.

Microsoft Azure AI Fundamentals AI-900 Exam Guide. Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam

Aaron Guilmette, Steve Miles, Peter De Tender

The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud.This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You’ll explore Microsoft’s responsible AI principles like safety and accountability. Then, you’ll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you’ll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you’ll find chapter review questions with answers, provided as an online resource.By the end of this exam guide, you’ll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.

Learn SQL using MySQL in One Day and Learn It Well. SQL for beginners with Hands-on Project

Jamie Chan

Learn SQL (using MySQL) in One Day and Learn It Well is the ultimate guide for beginners aiming to grasp the complexities of SQL through hands-on learning. Starting with an introduction to the essence of databases, this book methodically advances through defining and manipulating tables, mastering data insertion, updates, deletions, and executing sophisticated data selection techniques across its comprehensive chapters. It further explores the creation and utility of views, the implementation of triggers to automate database responses, and the intricacies of variables, stored routines, control flow tools, and cursors, culminating in a capstone project that brings all concepts together.Culminating in a project , this book offers a unique opportunity to apply all the learned concepts in a practical, real-world scenario, reinforcing the skills and knowledge acquired throughout the chapters. The appendices provide additional resources including table definitions for practical exercises modeled on real-world scenarios.Embark on a learning journey that transitions you from novice to proficient in managing and querying databases with MySQL, empowering you with the skills to tackle real-world data challenges.

Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide

Abdulrahman Kerim

The machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges.This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You’ll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you’ll uncover the secrets and best practices to harness the full potential of synthetic data.By the end of this book, you’ll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.

Apache Spark for Machine Learning. Build and deploy high-performance big data AI solutions for large-scale clusters

Deepak Gowda

In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark’s capabilities for efficient data processing, model building, and optimization. With Deepak’s expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes.This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You’ll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks.By the end of this book, you’ll be ready to handle big data and create advanced machine learning models with Apache Spark.

Tools and Skills for .NET 8. Get the career you want with good practices and patterns to design, debug, and test your solutions 

Mark J. Price

Unlock the full potential of .NET development with Tools and Skills for .NET 8.Dive into source code management using Git and learn how to navigate projects while ensuring version control. Discover advanced debugging techniques and troubleshooting strategies to identify and resolve issues, and gain practical insights on documenting your code, APIs, and services, fostering project clarity and maintainability. Delve into the world of cryptography, ensuring confidentiality and integrity throughout your development lifecycle.Elevate your skills as you explore cutting-edge topics such as building intelligent apps using custom LLM-based chat services, mastering dependency injection, optimizing performance through testing, and Docker containerization. Harness the power of cloud-native development with .NET Aspire, unlocking the benefits of modern cloud platforms. With guidance on software architecture best practices, this book empowers you to build robust, scalable and maintainable applications.Advance your career with invaluable insights on job readiness and interview preparation, positioning yourself as a top-tier candidate in today's competitive job market.Whether you're a seasoned .NET professional or an aspiring developer looking to enhance your skills, this book is your ultimate companion on the journey to .NET mastery.

Web API Development with ASP.NET Core 8. Learn techniques, patterns, and tools for building high-performance, robust, and scalable web APIs

Xiaodi Yan

Web API applications have become increasingly significant in recent years, fueled by the ever-accelerating pace of technological advancements. However, with this rapid evolution comes the need to create web API apps that are not only functional but also adaptable, maintainable, and scalable to meet the demands of users and businesses alike. This book draws from the author’s immense technical expertise and decades of experience in software development to help you address this challenge head-on, equipping you with the knowledge and skills required to develop web API apps from scratch.By providing a deeper understanding of the various protocols implemented by ASP.NET Core, including RESTful, SignalR (WebSocket), gRPC, and GraphQL, supplemented by practical examples and optimization techniques, such as using middleware, testing, caching, and logging, this book offers invaluable insights for both newcomers as well as seasoned developers to meet modern web development requirements. Additionally, you’ll discover how to use cloud platforms such as Azure and Azure DevOps to enhance the development and operational aspects of your application.By the end of this book, you’ll be fully prepared to undertake enterprise-grade web API projects with confidence, harnessing the latest advancements in ASP.NET Core 8 to drive innovation.

Mastering PyTorch. Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond - Second Edition

Ashish Ranjan Jha

PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models.You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face.By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.

Microservices with Go. The expert's guide to building secure, scalable, and reliable microservices with Go - Second Edition

Alexander Shuiskov

Microservices with Go, Second Edition explains the key benefits and common issues faced by developers when working with microservices, helping you understand the problems microservice architecture solves, the issues it introduces, and how to tackle them.The author distils his 18+ years of experience in building scalable and reliable infrastructure to help you grasp the importance of using the right principles and standards to achieve all that microservice architecture has to offer. You'll see why Go is a popular choice for microservice development, as well as navigate its foundational aspects, including service scaffolding, discovery, data serialization, communication, deployment, and testing. After covering development, you'll move to maintenance and reliability. This second edition is fully updated with newly added topics, including security and compliance, distributed system challenges, and performance monitoring. The final section focuses on advanced concepts, such as system reliability, observability, maintainability, and scalability. Through best practices and practical examples, you'll learn how to apply key ideas to existing applications using previously scaffolded services.By the end of this book, you'll have gained hands-on experience in developing scalable, reliable, and high-performance microservices with Go.

Procedural Content Generation with Unreal Engine 5. Harness the PCG framework to take your environment design and art skills to the next level

Paul Martin Eliasz

In the ever-evolving world of games and virtual production, mastering procedural content generator (PCG) opens the door to endless creative possibilities. This book takes you deeper into the realm of procedurally generated environments and assets by showing you how to use the PCG framework integrated into Unreal Engine 5.4 and helping you build the skills to surpass traditional methods and create cutting-edge projects with unparalleled efficiency.This book guides you through the complete level design and tools production pipeline using open-source software. Whether you’re an aspiring technical artist or level designer in real-time visualization and game production, you’ll benefit from following the step-by-step, beginner-friendly approach to crafting custom levels, from jungles to cities, and incorporating 3D assets from libraries such as Quixel or Sketchfab. Next, you’ll get to grips with data preparation, construct a PCG graph to populate assets in your environment, and apply these methods to optimize your projects. You’ll understand how this process enhances your PCG tools, elevating their capacity to improve the quality of your levels.By the end of this book, you’ll be able to seamlessly integrate different elements in Unreal Engine 5, empowering you to create your own PCG tools and transform your game development experience.

AWS Certified Security - Specialty (SCS-C02) Exam Guide. Get all the guidance you need to pass the AWS (SCS-C02) exam on your first attempt - Second Edition

Adam Book, Stuart Scott

The AWS Certified Security – Specialty exam validates your expertise in advanced cloud security, a crucial skill set in today's cloud market. With the latest updates and revised study material, this second edition provides an excellent starting point for your exam preparation.You’ll learn the fundamentals of core services, which are essential prerequisites before delving into the six domains covered in the exam. The book addresses various security threats, vulnerabilities, and attacks, such as DDoS attacks, offering insights into effective mitigation strategies at different layers. You’ll learn different tools available in Amazon Web Services (AWS) to secure your Virtual Private Cloud and allow the correct traffic to travel securely to your workloads. As you progress, you’ll explore the intricacies of AWS EventBridge and IAM services. Additionally, you’ll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices such as PCs, tablets, and smartphones.Ultimately, armed with the knowledge and skills acquired from this AWS security guide, you'll be well-prepared to pass the exam and design secure AWS solutions with confidence.

Ethical Password Cracking. Decode passwords using John the Ripper, hashcat, and advanced methods for password breaking

James Leyte-Vidal

Whether you’re looking to crack passwords as part of a thorough security audit or aiming to recover vital information, this book will equip you with the skills to accomplish your goals. Written by a cybersecurity expert with over fifteen years of experience in penetration testing, Ethical Password Cracking offers a thorough understanding of password protection and the correct approach to retrieving password-protected data.As you progress through the chapters, you first familiarize yourself with how credentials are stored, delving briefly into the math behind password cracking. Then, the book will take you through various tools and techniques to help you recover desired passwords before focusing on common cracking use cases, hash recovery, and cracking. Real-life examples will prompt you to explore brute-force versus dictionary-based approaches and teach you how to apply them to various types of credential storage.By the end of this book, you'll understand how passwords are protected and how to crack the most common credential types with ease.