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In order to thoroughly understand what makes Linux tick and why it works so well on a wide variety of systems, you need to delve deep into the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share processor time, in what order. It manages limited memory so well that hundreds of processes can share the system efficiently, and expertly organizes data transfers so that the CPU isn't kept waiting any longer than necessary for the relatively slow disks.The third edition of Understanding the Linux Kernel takes you on a guided tour of the most significant data structures, algorithms, and programming tricks used in the kernel. Probing beyond superficial features, the authors offer valuable insights to people who want to know how things really work inside their machine. Important Intel-specific features are discussed. Relevant segments of code are dissected line by line. But the book covers more than just the functioning of the code; it explains the theoretical underpinnings of why Linux does things the way it does.This edition of the book covers Version 2.6, which has seen significant changes to nearly every kernel subsystem, particularly in the areas of memory management and block devices. The book focuses on the following topics:Memory management, including file buffering, process swapping, and Direct memory Access (DMA) The Virtual Filesystem layer and the Second and Third Extended FilesystemsProcess creation and schedulingSignals, interrupts, and the essential interfaces to device driversTimingSynchronization within the kernelInterprocess Communication (IPC) Program executionUnderstanding the Linux Kernel will acquaint you with all the inner workings of Linux, but it's more than just an academic exercise. You'll learn what conditions bring out Linux's best performance, and you'll see how it meets the challenge of providing good system response during process scheduling, file access, and memory management in a wide variety of environments. This book will help you make the most of your Linux system.

An introduction to the Microsoft .NET Framework - the technology of choice for building components on Windows platforms. From this book's lessons, tips, and guidelines, readers will learn how to use the .NET Framework to program reusable, maintainable, and robust components.

XSLT is an essential tool for converting XML into other kinds of documents: HTML, PDF file, and many others. It's a critical technology for XML-based platforms such as Microsoft .NET, Sun Microsystems' Sun One, as well as for most web browsers and authoring tools. As useful as XSLT is, however, most people have a difficult time getting used to its peculiar characteristics. The ability to use advanced techniques depends on a clear and exact understanding of how XSLT templates work and interact.The XSLT 1.0 Pocket Reference from O'Reilly wants to make sure you achieve that level of understanding. With its concise approach, this handy pocket guide quickly gets you up to speed on XSLT 1.0 so you can covert XML like a seasoned pro. In addition to covering the basics of stylesheet structure, it also explains how to:use template rulescreate a result treeapply conditional processingtransform multiple source documentsemploy number formattingThanks to their convenient, quick-reference format, O'Reilly's Pocket References spare you from having to hunt through larger books for answers. They deliver just what you need to get the job done in a timely fashion. And the XSLT 1.0 Pocket Reference is no different--it's the ideal companion to have at your desk when you need an answer fast.

Provides an introduction that shows how to install, configure, and manage Simple Network Management Protocol (SNMP). Written for network and system administrators, this book introduces the basics of SNMP and then offers a technical background on how to use it. It explores commercial and open source packages, and elements like OIDs, MIBs, and more.

The implementation of stored procedures in MySQL 5.0 a hugemilestone -- one that is expected to lead to widespread enterprise adoption ofthe already extremely popular MySQL database. If you are serious aboutbuilding the web-based database applications of the future, you need toget up to speed quickly on how stored procedures work -- and how tobuild them the right way. This book, destined to be the bible of storedprocedure development, is a resource that no real MySQL programmer canafford to do without.In the decade since MySQL burst on the scene, it has become thedominant open source database, with capabilities and performancerivaling those of commercial RDBMS offerings like Oracle and SQLServer. Along with Linux and PHP, MySQL is at the heart of millions ofapplications. And now, with support for stored procedures, functions,and triggers in MySQL 5.0, MySQL offers the programming power neededfor true enterprise use.MySQL's new procedural language has a straightforward syntax, making iteasy to write simple programs. But it's not so easy to write secure,easily maintained, high-performance, and bug-free programs. Few in theMySQL world have substantial experience yet with stored procedures, butGuy Harrison and Steven Feuerstein have decades of combined expertise.In MySQL Stored Procedure Programming, they putthat hard-won experience to good use. Packed with code examples and coveringeverything from language basics to application building to advancedtuning and best practices, this highly readable book is the one-stopguide to MySQL development. It consists of four major sections:MySQL stored programming fundamentals -- tutorial, basicstatements, SQL in stored programs, and error handlingBuilding MySQL stored programs -- transaction handling,built-in functions, stored functions, and triggersMySQL stored programs in applications -- using storedprograms with PHP, Java, Perl, Python, and .NET (C# and VB.NET)Optimizing MySQL stored programs -- security, basic andadvanced SQL tuning, optimizing stored program code, and programmingbest practicesA companion web site contains many thousands of lines of code, that youcan put to use immediately.Guy Harrison is Chief Architect of Database Solutions at Quest Softwareand a frequent speaker and writer on MySQL topics. Steven Feuerstein isthe author of Oracle PL/SQL Programming, the classic reference for Oracle stored programming for more than ten years. Both have decades of experience as database developers, and between them they have authored a dozen books.

Why program Excel? For solving complex calculations and presenting results, Excel is amazingly complete with every imaginable feature already in place. But programming Excel isn't about adding new features as much as it's about combining existing features to solve particular problems. With a few modifications, you can transform Excel into a task-specific piece of software that will quickly and precisely serve your needs. In other words, Excel is an ideal platform for probably millions of small spreadsheet-based software solutions.The best part is, you can program Excel with no additional tools. A variant of the Visual Basic programming language, VB for Applications (VBA) is built into Excel to facilitate its use as a platform. With VBA, you can create macros and templates, manipulate user interface features such as menus and toolbars, and work with custom user forms or dialog boxes. VBA is relatively easy to use, but if you've never programmed before, Programming Excel with VBA and .NET is a great way to learn a lot very quickly. If you're an experienced Excel user or a Visual Basic programmer, you'll pick up a lot of valuable new tricks. Developers looking forward to .NET development will also find discussion of how the Excel object model works with .NET tools, including Visual Studio Tools for Office (VSTO).This book teaches you how to use Excel VBA by explaining concepts clearly and concisely in plain English, and provides plenty of downloadable samples so you can learn by doing. You'll be exposed to a wide range of tasks most commonly performed with Excel, arranged into chapters according to subject, with those subjects corresponding to one or more Excel objects. With both the samples and important reference information for each object included right in the chapters, instead of tucked away in separate sections, Programming Excel with VBA and .NET covers the entire Excel object library. For those just starting out, it also lays down the basic rules common to all programming languages. With this single-source reference and how-to guide, you'll learn to use the complete range of Excel programming tasks to solve problems, no matter what you're experience level.

Most Visual Basic .NET books are written for experienced object-oriented programmers, but many programmers jumping on the .NET bandwagon are coming from non-object-oriented languages, such as Visual Basic 6.0 or from script programming, such as JavaScript. These programmers, and those who are adopting VB.NET as their first programming language, have been out of luck when it comes to finding a high-quality introduction to the language that helps them get started.That's why Jesse Liberty, author of the best-selling books Programming C# and Programming ASP.NET, has written an entry-level guide to Visual Basic .NET. Written in a warm and friendly manner, this book assumes no prior programming experience, and provides an easy introduction to Microsoft's most popular .NET language.Learning Visual Basic .NET is a complete introduction to VB.NET and object-oriented programming. This book will help you build a solid foundation in .NET, and show how to apply your skills by using hundreds of examples to help you become productive quickly. Learning Visual Basic .NET introduces fundamentals like Visual Studio .NET, a tool set for building Windows and Web applications. You'll learn about the syntax and structure of the Visual Basic .NET language, including operators, classes and interfaces, structs, arrays, and strings. Liberty then demonstrates how to develop various kinds of applications--including those that work with databases--and web services.By the time you've finished Learning Visual Basic .NET, you'll be ready to move on to a more advanced programming guide that will help you create large-scale web and Windows applications.Whether you have a little object-oriented programming experience or you are new to programming altogether, Visual Basic .NET will set you firmly on your way to mastering the essentials of the VB.NET language.

'Designing Embedded Hardware' steers a course between those books dedicated to writing code for particular microprocessors, and those that stress the philosophy of embedded system design without providing any practical information. With real examples, the book also provides a roadmap to the pitfalls and traps to avoid.

This volume contains the essays, originally published online, that led to Netscape's decision to release their browser as open source, and helped Linux to rock the world of commercial software.

Demonstrates that since SQL code may run for 5 to 10 years, and run on different hardware, it must be fast and sound from the start. This book offers SQL best practices and relational theory that force you to focus on strategy rather than specifics.

Apache is far and away the most widely used web server platform in the world. This versatile server runs more than half of the world's existing web sites. Apache is both free and rock-solid, running more than 21 million web sites ranging from huge e-commerce operations to corporate intranets and smaller hobby sites.With this new third edition of Apache: The Definitive Guide, web administrators new to Apache will come up to speed quickly, and experienced administrators will find the logically organized, concise reference sections indispensable, and system programmers interested in customizing their servers will rely on the chapters on the API and Apache modules.Updated to cover the changes in Apache's latest release, 2.0, as well as Apache 1.3, this useful guide discusses how to obtain, set up, secure, modify, and troubleshoot the Apache software on both Unix and Windows systems. Dozens of clearly written examples provide the answers to the real-world issues that Apache administrators face everyday. In addition to covering the installation and configuration of mod_perl and Tomcat, the book examines PHP, Cocoon, and other new technologies that are associated with the Apache web server. Additional coverage of security and the Apache 2.0 API make Apache: The Definitive Guide, Third Edition essential documentation for the world's most popular web server.

By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. Youll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works.In the process, youll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If youre ready to take your Python skills to the next level, this bookupdated for Python 3.6clearly demonstrates how TDD encourages simple designs and inspires confidence.Dive into the TDD workflow, including the unit test/code cycle and refactoringUse unit tests for classes and functions, and functional tests for user interactions within the browserLearn when and how to use mock objects, and the pros and cons of isolated vs. integrated testsTest and automate your deployments with a staging serverApply tests to the third-party plugins you integrate into your siteRun tests automatically by using a Continuous Integration environmentUse TDD to build a REST API with a front-end Ajax interface

We've arrived in a new era--GenAI is reshaping industries and decision-making processes across the board. As a result, understanding its potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape. This insightful guide by industry leaders Rob Thomas, Paul Zikopoulos, and Kate Soule goes beyond the basics, offering real-life success stories and learned lessons to provide a blueprint for meaningful AI engagement. Whether you're a novice or a seasoned expert, you'll come away with an enhanced understanding of GenAI. Recognize the transformative potential of AI in business and how to harness it Navigate the ethical and operational challenges posed by AI with confidence Understand the dynamic interplay between AI technology and business strategy Implement actionable strategies to integrate AI into your organizational culture Step confidently into the role of an AI value creator, equipped to lead and innovate

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This updated new edition shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis--from collecting data and generating statistics to identifying patterns and testing hypotheses. This edition has been fully moved into Jupyter notebooks, so you can now read the text, run the code, and work on exercises all in one place. The notebooks are also designed to work on Google Colab, allowing you to get started without installing anything. And the updated code examples and exercises make use of the empiricaldist library to represent distributions. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

In today's data-driven world, organizations must manage and analyze vast amounts of information to deliver the insights that give them a competitive advantage. Many turn to the medallion architecture because it's a proven and well-known design. Yet implementing a robust data pipeline can be difficult, particularly when it comes to using the medallion architecture's bronze, silver, and gold layers--done wrong, it can hamper your ability to make data-driven decisions. This practical guide helps you build a medallion architecture the right way with Azure Databricks and Microsoft Fabric. Drawing on hands-on experience from the field, Piethein Strengholt demystifies common assumptions and complex problems you'll face when embarking on a new data architecture. Architects and engineers of all stripes will find answers to the most typical questions along with insights from real organizations about what's worked, what hasn't, and why. You'll learn: Lakehouse and medallion architecture fundamentals and key concepts Design considerations for Azure Databricks and Microsoft Fabric Scaling considerations, including governance, security, automation, and more How to make informed decisions when designing or implementing new data architectures Proven patterns for success that align with broader organizational objectives

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: Make practical decisions in the proof of concept stage to maximize value Revisit and revise your decisions when transitioning to production Configure and implement observability features for in-production data graphs Integrate graph databases into existing enterprise architectures

Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Pythons implementation. Youll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations.Get a better grasp of numpy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on a local or remote clusterSolve large problems while using less RAM

Ready to build applications using generative AI? This practical book outlines the process necessary to design and build production grade AI services with a FastAPI web server that communicate seamlessly with databases, payment systems, and external APIs. You'll learn how to develop autonomous generative AI agents that stream outputs in real-time and interact with other models. Web developers, data scientists, and DevOps engineers will learn to implement end-to-end production-ready services that leverage generative AI. You'll learn design patterns to manage software complexity, implement FastAPI lifespan for AI model integration, handle long-running generative tasks, perform content filtering, cache outputs, implement retrieval augmented generation (RAG) with a vector database, implement usage/cost monitoring and tracking, protect services with your own authentication and authorization mechanisms, and effectively control stream outputs directly from GenAI models. You'll explore efficient testing methods for AI outputs, validation against databases, and deployment patterns using Docker for robust microservices in the cloud. Build generative services that interact with databases, external APIs, and more Learn how to load AI models into a FastAPI lifecycle memory Monitor and log model requests and responses within services Use authentication and authorization patterns hooked with generative models Handle and cache long-running inference tasks Stream model outputs via streaming events and WebSockets into browsers or files Automate the retraining process of generative models by exposing event-driven endpoints Ali Parandeh is a Chartered Engineer with the UK Engineering Council and a Microsoft and Google certified developer, data engineer, and data scientist.

If you're developing or considering cloud application architectures for your company's projects, this practical guide is an ideal place to learn and understand best practices for developing in the cloud. Architects and lead developers will learn how cloud applications should be designed, how they fit into a larger architectural picture, and how to make them operate efficiently. Authors Kyle Brown, Bobby Woolf, and Joe Yoder take you through the process step by step. You'll learn: Proven architectural practices for developing applications for the cloud Why some architectural choices are better suited than others for applications intended to run on the cloud How different technical choices work together to make applications better suited for the cloud Design and Implementation techniques that work well for developing cloud applications Ways to select the most appropriate cloud adoption patterns for your organization How all potential choices in application design relate to each other through the connections of the patterns How to chart your own course in adopting the right strategies for developing application architectures for the cloud Kyle Brown is an IBM Fellow, vice president and CTO for the IBM CIO and author of The Cloud Adoption Playbook. Bobby Woolf is an Open Group Certified Distinguished Technical Specialist who works with IBM clients and partners and is coauthor of Enterprise Integration Patterns. Joe Yoder is a distinguished member of the Association for Computing Machinery and a founder and principal of The Refactory. He's coauthor of A Scrum Book: The Spirit of the Game.

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies are still trying to solve problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more. Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios. Throughout this journey, you'll use open source data tools and public cloud services to see how to put each pattern into practice. You'll learn: Challenges data engineers face and their impact on data systems How these challenges relate to data system components What data engineering patterns are for How to identify and fix issues with your current data components Technology-agnostic solutions to new and existing data projects How to implement patterns with Apache Airflow, Apache Spark, Apache Flink, and Delta Lake Bartosz Konieczny is a freelance data engineer who's been coding for more than 15 years. He's held various senior hands-on positions that helped him work on many data engineering problems in batch and stream processing.

In this practical book, authors John Walsh and Uzi Ailon provide conceptual frameworks, technology overviews, and practical code snippets to help DevSecOps engineers, cybersecurity engineers, security managers, and software developers address use cases across CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, and more.

Virtualization, cloud, containers, server automation, and software-defined networking are meant to simplify IT operations. But many organizations adopting these technologies have found that it only leads to a faster-growing sprawl of unmanageable systems. This is where infrastructure as code can help. With this practical guide, author Kief Morris of ThoughtWorks shows you how to effectively use principles, practices, and patterns pioneered through the DevOps movement to manage cloud age infrastructure.Ideal for system administrators, infrastructure engineers, team leads, and architects, this book demonstrates various tools, techniques, and patterns you can use to implement infrastructure as code. In three parts, youll learn about the platforms and tooling involved in creating and configuring infrastructure elements, patterns for using these tools, and practices for making infrastructure as code work in your environment.Examine the pitfalls that organizations fall into when adopting the new generation of infrastructure technologiesUnderstand the capabilities and service models of dynamic infrastructure platformsLearn about tools that provide, provision, and configure core infrastructure resourcesExplore services and tools for managing a dynamic infrastructureLearn specific patterns and practices for provisioning servers, building server templates, and updating running servers

If you're looking to build a production-ready AI application that enables users to "chat" with your company's private data, then you'll need to master LangChain--a premier AI development framework used by global corporations and startups like Zapier, Replit, Databricks, and more. This guide is an indispensable resource for developers who understand Python or JavaScript but are beginners eager to harness the power of AI. Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book will show you step-by-step how to build a production-ready AI chatbot trained on your own data. After reading this book, you'll be equipped to: Understand and use the core components of LangChain in your development projects Harness the power of retrieval-augmented generation (RAG) to enhance the accuracy of LLMs using external, up-to-date data Develop and deploy AI chatbots that interact intelligently and contextually with users Utilize LangChain Expression Language to create custom, efficient AI operational chains Integrate and manage third-party APIs and tools to extend the functionality of your AI applications Learn the foundations of LLM app development and how they can be used with LangChain

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to access valuable business data. OAuth is a popular way to address this issue, but this open standard doesn't provide sufficient guidelines for using API tokens to protect business data. That alone can lead to vulnerabilities and invite data breaches. By using cloud native components in Kubernetes or similar platforms, organizations can implement a scalable, future-proof security architecture for their systems that follows a zero-trust approach to protect business data. You'll access tokens, claims, and token design with an emphasis on an API-first approach. This book takes readers through an end-to-end security architecture that scales to many components in a cloud native environment, while only requiring simple security code in applications and APIs. You'll learn: Why user identity must be part of your cloud native security stack How to integrate user identity into APIs How to externalize security, secure data access, and authenticate clients using OAuth Methods for running security components in a Kubernetes cluster How to use claims to protect business data in APIs How to follow security best practices for client applications and APIs

Organizations are increasingly vulnerable as attack surfaces grow and cyber threats evolve. Addressing these threats is vital, making attack surface management (ASM) essential for security leaders globally. This practical book provides a comprehensive guide to help you master ASM. Cybersecurity engineers, system administrators, and network administrators will explore key components, from networks and cloud systems to human factors. Authors Ron Eddings and MJ Kaufmann offer actionable solutions for newcomers and experts alike, using machine learning and AI techniques. ASM helps you routinely assess digital assets to gain complete insight into vulnerabilities, and potential threats. The process covers all security aspects, from daily operations and threat hunting to vulnerability management and governance. You'll learn: Fundamental ASM concepts, including their role in cybersecurity How to assess and map your organization's attack surface, including digital assets and vulnerabilities Strategies for identifying, classifying, and prioritizing critical assets Attack surfaces types, including each one's unique security challenges How to align technical vulnerabilities with business risks Principles of continuous monitoring and management to maintain a robust security posture Techniques for automating asset discovery, tracking, and categorization Remediation strategies for addressing vulnerabilities, including patching, monitoring, isolation, and containment How to integrate ASM with incident response and continuously improve cybersecurity strategies ASM is more than a strategy--it's a defense mechanism against growing cyber threats. This guide will help you fortify your digital defense.

Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.

This cookbook shows data engineers, data scientists, data analysts, and cloud architects how to use Dataproc, integrated with Google Cloud, for data lake modernization, ETL, and secure data science at a fraction of the cost.

Learn how to manage Kubernetes clusters and application configurations with Argo CD, the easy-to-use open source GitOps engine. With this practical book, development teams will quickly gain a foundational understanding of Argo CD for deploying and managing containerized applications - without having to be a Kubernetes expert, and without needing full access to the Kubernetes system. With the adoption of Kubernetes, the ability to effectively manage platform configurations has become a paramount concern. Authors Andrew Block from Red Hat and Christian Hernandez from Akuity show you how to apply GitOps practices with Argo CD to manage one or even thousands of Kubernetes environments with confidence. You'll start with a basic understanding of the Argo CD technology and quickly learn how to achieve faster and more secure deployments. With this book, you will: Learn the basics of applying GitOps principles to your Kubernetes environments Use Argo CD to manage Kubernetes configurations as well as the applications you deploy to the platform Manage the configurations of a single Kubernetes cluster or thousands of clusters Deploy Kubernetes resources using tools such as Kustomize and Helm Understand the importance of managing sensitive material and resources