Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environments. Systems Performance: Enterprise and the Cloud focuses on Linux(R) and Unix(R) performance, while illuminating performance issues that are relevant to all operating systems. You'll gain deep insight into how systems work and perform, and learn methodologies for analyzing and improving system and application performance. Gregg presents examples from bare-metal systems and virtualized cloud tenants running Linux-based Ubuntu(R), Fedora(R), CentOS, and the illumos-based Joyent(R) SmartOS(TM) and OmniTI OmniOS(R). He systematically covers modern systems performance, including the "traditional" analysis of CPUs, memory, disks, and networks, and new areas including cloud computing and dynamic tracing. This book also helps you identify and fix the "unknown unknowns" of complex performance: bottlenecks that emerge from elements and interactions you were not aware of. The text concludes with a detailed case study, showing how a real cloud customer issue was analyzed from start to finish. Coverage includes - Modern performance analysis and tuning: terminology, concepts, models, methods, and techniques - Dynamic tracing techniques and tools, including examples of DTrace, SystemTap, and perf - Kernel internals: uncovering what the OS is doing - Using system observability tools, interfaces, and frameworks - Understanding and monitoring application performance - Optimizing CPUs: processors, cores, hardware threads, caches, interconnects, and kernel scheduling - Memory optimization: virtual memory, paging, swapping, memory architectures, busses, address spaces, and allocators - File system I/O, including caching - Storage devices/controllers, disk I/O workloads, RAID, and kernel I/O - Network-related performance issues: protocols, sockets, interfaces, and physical connections - Performance implications of OS and hardware-based virtualization, and new issues encountered with cloud computing - Benchmarking: getting accurate results and avoiding common mistakes This guide is indispensable for anyone who operates enterprise or cloud environments: system, network, database, and web admins; developers; and other professionals. For students and others new to optimization, it also provides exercises reflecting Gregg's extensive instructional experience.

    Instead, it tells you-and shows you-what basic and advanced electronics parts and components do, and how they work. Chock-full of illustrations, Practical Electronics for Inventors offers over 750 hand-drawn images that provide clear, detailed instructions that can help turn theoretical ideas into real-life inventions and gadgets.

    Salient features: Expanded coverage on software tools including user interfaces; enhanced treatment of language processors with addition of three new chapters on the topic; includes detailed discussions on assemblers, macroprocessors, compilers, and interpreters, and linkers, security in a distributed environment; complementary new chapter devoted to protection; process management and information management; numerous examples from contemporary systems like UNIX and IBM PC illustrating concepts and techniques; indispensible text for undergraduate and postgraduate students of computer science and engineering; an invaluable reference tools for system analysis and computer professionals.

    Fortunately, there s a solution: Erik T. Ray s Learning XML, Second Edition. This book presents an outstanding birds-eye view of the XML landscape. It s definitely not a programming book (though it does introduce some key XML programming issues). Rather, it s focused on key ideas you need to understand whatever you want to do with XML. That could be document management, web or print content delivery, application integration, B2B commerce, data storage, internationalization -- you name it.Ray s day job is software developer and XML specialist at O Reilly. There, he s helped to implement a complete publishing solution, using DocBook-XML and Perl to produce books in print, on CD-ROM, and for online delivery. So he understands XML from the real-world point of view of someone with a job to do. His first goal is to take on the big questions. First, What is XML? Ray attacks this question from multiple angles, introducing XML as a general-purpose information storage system, a markup language toolkit, and an open standard (or, increasingly, a collection of standards). What can (and can t) you do with XML? What s the history that led us here? And what tools do you need to get started? Next, he introduces the basic building blocks of XML markup and all XML-derived languages: stuff you ll need to know regardless of your goals. Through easy examples, you ll understand elements, attributes, entities, and processing instructions -- and how they fit together in a well-formed XML document. Then, it s on to representing information with XML -- in other words, understanding the nature and planning the structure of the documents you ll be using. Ray starts simply, then builds on his basic examples to discuss narrative documents with text flows, block and inline elements, and titled sections. Once you can handle those, he discusses more complex information modeling, as used in specialized markup languages such as VML. This edition contains an entirely new chapter on XML Schemas -- what he calls the shepherds that keep documents from straying outside of the herd and causing trouble. Schemas, of course, have become hugely important. This is one of the best plain-English introductions to the topic we ve seen. Ray then turns to presentation, introducing CSS stylesheets, basic usage, rule matching, properties, and more. A little later on, he returns to the subject -- this time with a complete introduction to XSL-FO that illuminates two powerful examples. The first is TEI-XML, a markup language for scholarly documents (Ray presents a Shakespearean sonnet, appropriately coded). The second is the immensely powerful DocBook -- which, as we ve observed, Ray knows inside and out. Learning XML is superbly written. Clear explanations. Simple examples. Great metaphors and analogies. And excellent introductions to nearly every topic that matters, from links to presentation, transformation to internationalization. If you re just starting out with XML, you re lucky to have it. Bill CamardaBill Camarda is a consultant, writer, and web/multimedia content developer. His 15 books include Special Edition Using Word 2000 and Upgrading & Fixing Networks for Dummies, Second Edition.

    The most effective computer security strategies integrate network security monitoring (NSM): the collection and analysis of data to help you detect and respond to intrusions.In The Practice of Network Security Monitoring, Mandiant CSO Richard Bejtlich shows you how to use NSM to add a robust layer of protection around your networks — no prior experience required. To help you avoid costly and inflexible solutions, he teaches you how to deploy, build, and run an NSM operation using open source software and vendor-neutral tools.You'll learn how to:Determine where to deploy NSM platforms, and size them for the monitored networks Deploy stand-alone or distributed NSM installations Use command line and graphical packet analysis tools, and NSM consoles Interpret network evidence from server-side and client-side intrusions Integrate threat intelligence into NSM software to identify sophisticated adversaries There's no foolproof way to keep attackers out of your network. But when they get in, you'll be prepared. The Practice of Network Security Monitoring will show you how to build a security net to detect, contain, and control them. Attacks are inevitable, but losing sensitive data shouldn't be.

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    This writing is filled with rich images and profound truths, but John notes that his aim in writing the gospel is that readers will not only believe in Jesus Christ, but that they "may have life in his name."Adults, youth, and children alike can experience a season of spiritual growth and life-changing renewal in Adam Hamilton's six-week, DVD-series, John: The Gospel of Light and Life. You'll follow the life, ministry, death, and resurrection of Jesus through the Gospel of John and understand the context of some of the best-known verses in the New Testament. Everything you need to lead small groups of all ages is available for this special study including the entire Gospel of John in the CEB translation printed in the book.

    The Productive Programmer offers critical timesaving and productivity tools that you can adopt right away, no matter what platform you use. Master developer Neal Ford not only offers advice on the mechanics of productivity-how to work smarter, spurn interruptions, get the most out your computer, and avoid repetition-he also details valuable practices that will help you elude common traps, improve your code, and become more valuable to your team. You'll learn to:Write the test before you write the codeManage the lifecycle of your objects fastidiously Build only what you need now, not what you might need later Apply ancient philosophies to software development Question authority, rather than blindly adhere to standardsMake hard things easier and impossible things possible through meta-programming Be sure all code within a method is at the same level of abstraction Pick the right editor and assemble the best tools for the job This isn't theory, but the fruits of Ford's real-world experience as an Application Architect at the global IT consultancy ThoughtWorks. Whether you're a beginner or a pro with years of experience, you'll improve your work and your career with the simple and straightforward principles in The Productive Programmer.

    This well-respected text offers an accessible introduction to functional programming concepts and techniques for students of mathematics and computer science. The treatment is as nontechnical as possible, and it assumes no prior knowledge of mathematics or functional programming. Cogent examples illuminate the central ideas, and numerous exercises appear throughout the text, offering reinforcement of key concepts. All problems feature complete solutions.

    And it breaks our heart because we try so hard to connect to Him, yet we are just distracted with the worries of this world. What then can we do, to reawaken this longing for closeness to Him, the longing to rely on His forgiveness and mercy?It is not easy to call upon the heart to be present in prayers. We try our best to connect to Him, but still we find our mind wandering someplace else. Thus, in this book, Ayesha Syahira shares with raw honesty about her reflections on discovering the beauty of prayers through patience, surrendering and hope.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    This insightful collection of essays explore the business concerns that programmers face during the course of their careers--particularly those programmers who are small independent software vendors.Sink also covers issues like starting your own business, and then performing the hiring, marketing, and finances in a style that programmers understand, sprinkled with a touch of humor.

    Previously undocumented, these 23 patterns allow designers to create more flexible, elegant, and ultimately reusable designs without having to rediscover the design solutions themselves.The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently. Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.

    You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".