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Author: Praveen Raj Publisher: BPB Publications ISBN: 9355518870 Category : Computers Languages : en Pages : 339
Book Description
Architect your own benchmarks KEY FEATURES ● Learn implementation and design of Memcached. ● Understand programming practices and structures across open-source systems. ● Understand the principles of LRU cache management and slab allocation. ● Discover real-world applications of Memcached in industry giants. DESCRIPTION Open-source development has been the single most significant contributor to the development community, and the contributions are used across the IT landscape including corporations, universities, schools, etc. Despite being highly popular, contributing to open-source and navigating open-source systems has always been challenging. Some reasons could be that most open-source developers hold other day jobs, which might also be their regular work. Memcached is one of the largest commercially and non-commercially used caching systems in the IT world, with a relatively smaller codebase that enables developers to understand the basic skeletal of source code structures while enabling developers to hone their skills towards the development of high-quality production-grade, enterprise-ready open-source software. Most server-based technologies. Open-source development skills enable developers to understand the intricacies of softwares, enabling robust decision-making while choosing technologies over trends and making mature decisions on a day-to-day development basis. This book is for all programming enthusiasts and is designed to be a Source code 101 level book, but it can help developers elevate to architect-level decision-making as well as architects to make solid software decisions while building the systems. WHAT YOU WILL LEARN ● Uncover the secrets of Memcached, a high-performance caching system. ● Learn about security measures safeguarding Memcached's integrity and scalability. ● Understand large-scale use cases of Memcached and how to continue further study of open source systems. ● Students can learn the implementation of most concepts through their journey with a practical approach. WHO THIS BOOK IS FOR This book is designed for software developers, system administrators, and IT professionals who want to delve into the world of Memcached, a high-performance caching system. It is a comprehensive guide to Memcached's architecture, design, and implementation for all programming enthusiasts. TABLE OF CONTENTS 1. Source Code Explorations in Open-Source Systems 2. Getting Started with Memcached Design 3. Design of Event Loop 4. Server Initialization 5. LRU Cache 6. Slab Management 7. Server Authentication 8. Protocol Definitions 9. Background Processes 10. Proxy Server Design and External Storage 11. Using Memcached at Scale 12. Continuation of the Exploration Journey
Author: Praveen Raj Publisher: BPB Publications ISBN: 9355518870 Category : Computers Languages : en Pages : 339
Book Description
Architect your own benchmarks KEY FEATURES ● Learn implementation and design of Memcached. ● Understand programming practices and structures across open-source systems. ● Understand the principles of LRU cache management and slab allocation. ● Discover real-world applications of Memcached in industry giants. DESCRIPTION Open-source development has been the single most significant contributor to the development community, and the contributions are used across the IT landscape including corporations, universities, schools, etc. Despite being highly popular, contributing to open-source and navigating open-source systems has always been challenging. Some reasons could be that most open-source developers hold other day jobs, which might also be their regular work. Memcached is one of the largest commercially and non-commercially used caching systems in the IT world, with a relatively smaller codebase that enables developers to understand the basic skeletal of source code structures while enabling developers to hone their skills towards the development of high-quality production-grade, enterprise-ready open-source software. Most server-based technologies. Open-source development skills enable developers to understand the intricacies of softwares, enabling robust decision-making while choosing technologies over trends and making mature decisions on a day-to-day development basis. This book is for all programming enthusiasts and is designed to be a Source code 101 level book, but it can help developers elevate to architect-level decision-making as well as architects to make solid software decisions while building the systems. WHAT YOU WILL LEARN ● Uncover the secrets of Memcached, a high-performance caching system. ● Learn about security measures safeguarding Memcached's integrity and scalability. ● Understand large-scale use cases of Memcached and how to continue further study of open source systems. ● Students can learn the implementation of most concepts through their journey with a practical approach. WHO THIS BOOK IS FOR This book is designed for software developers, system administrators, and IT professionals who want to delve into the world of Memcached, a high-performance caching system. It is a comprehensive guide to Memcached's architecture, design, and implementation for all programming enthusiasts. TABLE OF CONTENTS 1. Source Code Explorations in Open-Source Systems 2. Getting Started with Memcached Design 3. Design of Event Loop 4. Server Initialization 5. LRU Cache 6. Slab Management 7. Server Authentication 8. Protocol Definitions 9. Background Processes 10. Proxy Server Design and External Storage 11. Using Memcached at Scale 12. Continuation of the Exploration Journey
Author: Praveenraj, R Publisher: BPB Publications ISBN: 9365892147 Category : Computers Languages : en Pages : 193
Book Description
DESCRIPTION In an age where data breaches and privacy issues are growing, confidential computing offers a state-of-the-art solution. This technology helps organizations keep their most sensitive information safe, even against strong threats. Introduction to Confidential Computing provides a clear guide to this advanced cybersecurity technology. It explains why confidential computing is crucial for protecting sensitive data, covering key technologies, architectures, and frameworks. The book details remote attestation, which ensures computing environment integrity, and explores how confidential computing enhances AI training security. It also reviews solutions from major cloud providers, helping readers choose the right options. This book is perfect for anyone looking to boost their cybersecurity skills and stay ahead in data protection. By the end of this book, you will gain a thorough understanding of confidential computing and its impact on data security and privacy. You will be ready to assess and implement confidential computing solutions, safeguarding your organization's assets and meeting data privacy regulations. KEY FEATURES ● Comprehensive overview of confidential computing architectures and technologies. ● Guidance on leveraging confidential computing technologies for secure data processing and privacy protection. ● Learn how confidential computing ensures data privacy and protects AI model integrity through secure processing. WHAT YOU WILL LEARN ● Learn why confidential computing is crucial in today's digital world. ● Understand high-level architecture of various trusted execution environments implementations. ● Art of developing secure applications that can be deployed on TEE. ● Comprehend how remote attestation ensures the integrity of computing environments. ● Discover how RA-TLS could reshape the future of secure communications. ● Explore how confidential computing protects data and AI models. WHO THIS BOOK IS FOR This book is for software architects, security researchers, and developers to enhance application security using confidential computing. PhD candidates and postgraduates will explore TEEs, while AI/ML developers will understand how confidential AI protects data and models. TABLE OF CONTENTS 1. Vital Need for Confidential Computing 2. Trusted Execution Environments 3. Secure Application Development 4. Remote Attestation 5. Confidential Computing in Cloud 6. Confidential Artificial Intelligence 7. Prospects of Confidential Computing Appendix A: Enclave Initialization Instructions in Intel SGX Appendix B: Intel TDX Architectural Instructions Appendix C: Secure Boot Infrastructure Terminologies
Author: Owen Yamauchi Publisher: "O'Reilly Media, Inc." ISBN: 1491920831 Category : Computers Languages : en Pages : 302
Book Description
How can you take advantage of the HipHop Virtual Machine (HHVM) and the Hack programming language, two new technologies that Facebook developed to run their web servers? With this practical guide, Owen Yamauchi—a member of Facebook’s core Hack and HHVM teams—shows you how to get started with these battle-tested open-source tools. You’ll explore static typechecking and several other features that separate Hack from its PHP origins, and learn how to set up, configure, deploy, and monitor HHVM. Ideal for developers with basic PHP knowledge or experience with other languages, this book also demonstrates how these tools can be used with existing PHP codebases and new projects alike. Learn how Hack provides static typechecking while retaining PHP’s flexible, rapid development capability Write typesafe code with Hack’s generics feature Explore HHVM, a just-in-time compilation runtime engine with full PHP compatibility Dive into Hack collections, asynchronous functions, and the XHP extension for PHP Understand Hack’s design rationale, including why it omits some PHP features Use Hack for multitasking, and for generating HTML securely Learn tools for working with Hack code, including PHP-to-Hack migration
Author: Sandeep Koranne Publisher: Springer Science & Business Media ISBN: 1441977198 Category : Computers Languages : en Pages : 505
Book Description
Handbook of Open Source Tools introduces a comprehensive collection of advanced open source tools useful in developing software applications. The book contains information on more than 200 open-source tools which include software construction utilities for compilers, virtual-machines, database, graphics, high-performance computing, OpenGL, geometry, algebra, graph theory , GUIs and more. Special highlights for software construction utilities and application libraries are included. Each tool is covered in the context of a real like application development setting. This unique handbook presents a comprehensive discussion of advanced tools, a valuable asset used by most application developers and programmers; includes a special focus on Mathematical Open Source Software not available in most Open Source Software books, and introduces several tools (eg ACL2, CLIPS, CUDA, and COIN) which are not known outside of select groups, but are very powerful. Handbook of Open Source Tools is designed for application developers and programmers working with Open Source Tools. Advanced-level students concentrating on Engineering, Mathematics and Computer Science will find this reference a valuable asset as well.
Author: Jeff Sheltren Publisher: "O'Reilly Media, Inc." ISBN: 1449358039 Category : Computers Languages : en Pages : 279
Book Description
How can you help your Drupal website continue to perform at the highest level as it grows to meet demand? This comprehensive guide provides best practices, examples, and in-depth explanations for solving several performance and scalability issues. You’ll learn how to apply coding and infrastructure techniques to Drupal internals, application performance, databases, web servers, and performance analysis. Covering Drupal versions 7 and 8, this book is the ideal reference for everything from site deployment to implementing specific technologies such as Varnish, memcache, or Solr. If you have a basic understanding of Drupal and the Linux-Apache-MySQL-PHP (LAMP) stack, you’re ready to get started. Establish a performance baseline and define goals for improvement Optimize your website’s code and front-end performance Get best and worst practices for customizing Drupal core functionality Apply infrastructure design techniques to launch or expand a site Use tools to configure, monitor, and optimize MySQL performance Employ alternative storage and backend search options as your site grows Tune your web servers through httpd and PHP configuration Monitor services and perform load tests to catch problems before they become critical
Author: Rachid Guerraoui Publisher: Springer ISBN: 331914720X Category : Computers Languages : en Pages : 470
Book Description
The advent of multi-core architectures and cloud-computing has brought parallel programming into the mainstream of software development. Unfortunately, writing scalable parallel programs using traditional lock-based synchronization primitives is well known to be a hard, time consuming and error-prone task, mastered by only a minority of specialized programmers. Building on the familiar abstraction of atomic transactions, Transactional Memory (TM) promises to free programmers from the complexity of conventional synchronization schemes, simplifying the development and verification of concurrent programs, enhancing code reliability, and boosting productivity. Over the last decade TM has been subject to intense research on a broad range of aspects including hardware and operating systems support, language integration, as well as algorithms and theoretical foundations. On the industrial side, the major players of the software and hardware markets have been up-front in the research and development of prototypal products providing support for TM systems. This has recently led to the introduction of hardware TM implementations on mainstream commercial microprocessors and to the integration of TM support for the world’s leading open source compiler. In such a vast inter-disciplinary domain, the Euro-TM COST Action (IC1001) has served as a catalyzer and a bridge for the various research communities looking at disparate, yet subtly interconnected, aspects of TM. This book emerged from the idea having Euro-TM experts compile recent results in the TM area in a single and consistent volume. Contributions have been carefully selected and revised to provide a broad coverage of several fundamental issues associated with the design and implementation of TM systems, including their theoretical underpinnings and algorithmic foundations, programming language integration and verification tools, hardware supports, distributed TM systems, self-tuning mechanisms, as well as lessons learnt from building complex TM-based applications.
Author: Jimmy Lin Publisher: Springer Nature ISBN: 3031021363 Category : Computers Languages : en Pages : 171
Book Description
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks
Author: Byron Ellis Publisher: John Wiley & Sons ISBN: 1118838025 Category : Computers Languages : en Pages : 432
Book Description
Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.
Author: James Warren Publisher: Simon and Schuster ISBN: 1638351104 Category : Computers Languages : en Pages : 481
Book Description
Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth
Author: Praveen Raj
Author: Praveen Raj
Author: Praveenraj, R
Author: Owen Yamauchi
Author: Sandeep Koranne
Author: Jeff Sheltren
Author: Rachid Guerraoui
Author: Jimmy Lin
Author: Byron Ellis
Author: James Warren
Author: Amy Brown