Mastering Distributed Computing
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Mastering Distributed Computing
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Distributed Computing written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Uncover the Art of Seamless Distributed Computing with "Mastering Distributed Computing" In the dynamic realm of modern computing, the ability to harness the power of distributed systems is paramount. "Mastering Distributed Computing" is your definitive guide to mastering the art of seamlessly orchestrating distributed resources for optimal performance and scalability. Whether you're an experienced software engineer or a newcomer to the world of distributed computing, this book equips you with the knowledge and skills needed to navigate the intricacies of distributed systems. About the Book: "Mastering Distributed Computing" takes you on an enlightening journey through the intricacies of distributed computing, from foundational concepts to advanced techniques. From distributed architectures to consensus algorithms, this book covers it all. Each chapter is meticulously designed to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Foundational Principles: Build a strong foundation by understanding the core principles of distributed systems, including scalability, fault tolerance, and data consistency. · Distributed Architectures: Explore a range of distributed architectures, including client-server, peer-to-peer, microservices, and serverless, understanding their strengths and applications. · Consistency and Replication: Dive into the complexities of data consistency and replication strategies, including eventual consistency, strong consistency, and distributed databases. · Distributed Algorithms: Master fundamental distributed algorithms, such as leader election, distributed locking, and distributed transactions, for coordinating actions across nodes. · Scaling Strategies: Discover strategies for scaling distributed systems horizontally and vertically, ensuring optimal performance as workloads grow. · Fault Tolerance: Understand mechanisms for building fault-tolerant systems, including redundancy, replication, and failure detection and recovery. · Real-World Use Cases: Gain insights from real-world examples spanning industries, from finance and e-commerce to social media and beyond. · Cloud and Edge Computing: Explore the role of distributed computing in cloud environments and edge computing scenarios, and their impact on modern applications. · Security and Privacy: Explore best practices for securing distributed systems, data encryption, access control, and compliance. Who This Book Is For: "Mastering Distributed Computing" is designed for software engineers, architects, developers, and anyone passionate about effective distributed system design. Whether you're seeking to enhance your skills or embark on a journey toward becoming a distributed computing expert, this book provides the insights and tools to navigate the complexities of distributed systems. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Distributed Algorithms
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Author : Roger Wattenhofer
language : en
Publisher:
Release Date : 2020-03-23
Mastering Distributed Algorithms written by Roger Wattenhofer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with categories.
About the book: The Internet is a distributed system, but so are wireless communication, cloud or parallel computing, multi-core systems, mobile networks. Also an ant colony, a brain, or even the human society can be modeled as distributed systems. In this book we will be highlighting common themes and techniques. In particular, we study some of the fundamental issues underlying the design of distributed systems, for example, communication, coordination, fault-tolerance, locality, parallelism, symmetry breaking, synchronization, and uncertainty.About the author: Roger Wattenhofer is a professor at ETH Zurich. Before joining ETH Zurich, he was at Brown University and Microsoft Research. His research interests include fault-tolerant distributed systems, efficient network algorithms, and cryptocurrencies such as Bitcoin. He has published more than 300 scientific articles. In 2017, he published the book Blockchain Science.
Mastering Distributed Tracing
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Author : Yuri Shkuro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Mastering Distributed Tracing written by Yuri Shkuro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.
Understand how to apply distributed tracing to microservices-based architectures Key FeaturesA thorough conceptual introduction to distributed tracingAn exploration of the most important open standards in the spaceA how-to guide for code instrumentation and operating a tracing infrastructureBook Description Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable. Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems. What you will learnHow to get started with using a distributed tracing systemHow to get the most value out of end-to-end tracingLearn about open standards in the spaceLearn about code instrumentation and operating a tracing infrastructureLearn where distributed tracing fits into microservices as a core functionWho this book is for Any developer interested in testing large systems will find this book very revealing and in places, surprising. Every microservice architect and developer should have an insight into distributed tracing, and the book will help them on their way. System administrators with some development skills will also benefit. No particular programming language skills are required, although an ability to read Java, while non-essential, will help with the core chapters.
Mastering Cloud Computing
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Author : Rajkumar Buyya
language : en
Publisher: Newnes
Release Date : 2013-04-05
Mastering Cloud Computing written by Rajkumar Buyya and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-05 with Computers categories.
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. - Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment - Real-world case studies include scientific, business, and energy-efficiency considerations
Mastering Oracle7 Client Server Computing
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Author : Steven M. Bobrowski
language : en
Publisher:
Release Date : 1994
Mastering Oracle7 Client Server Computing written by Steven M. Bobrowski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Client/server computing is the hottest trend in information systems today, and Oracle7 is one of the most popular servers at the heart of such client/server systems. This book delivers a broad but comprehensive explanation of Oracle7 features, focusing on those that are important for client/server configurations. It also discusses the other components of an Oracle7 client/server database system.
Mastering Spark For Data Science
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Author : Andrew Morgan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-03-29
Mastering Spark For Data Science written by Andrew Morgan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-29 with Computers categories.
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn Learn the design patterns that integrate Spark into industrialized data science pipelines See how commercial data scientists design scalable code and reusable code for data science services Explore cutting edge data science methods so that you can study trends and causality Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs Find out how Spark can be used as a universal ingestion engine tool and as a web scraper Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams Study advanced Spark concepts, solution design patterns, and integration architectures Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approach This is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.
Mastering Distributed Systems With Elixir
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Author : Fred Klima
language : en
Publisher: Independently Published
Release Date : 2025-10-08
Mastering Distributed Systems With Elixir written by Fred Klima and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-08 with Computers categories.
Mastering Distributed Systems with Elixir: From OTP Foundations to Clustering, Scaling and Deployment is the definitive guide for developers who want to build reliable, fault-tolerant, and scalable applications on the BEAM virtual machine. Whether you are new to Elixir or already using it in production, this book equips you with the practical knowledge to design, deploy, and operate distributed systems with confidence. You'll start with the fundamentals of OTP, learning how processes, supervisors, and GenServers form the backbone of resilient applications. From there, you'll explore advanced topics such as clustering nodes, handling failures gracefully, and managing distributed state with tools like ETS and Mnesia. Real-world chapters cover event-driven architectures with GenStage and Broadway, service discovery with Phoenix.PubSub and libcluster, and strategies for distributed task management with Horde. Deployment is treated as a first-class concern. You'll learn how to package releases with Mix, containerize with Docker, and run applications at scale on Kubernetes and modern cloud platforms. The book also covers observability structured logging, metrics collection, and tracing with OpenTelemetry so you can monitor and debug production systems effectively. By the end, you'll have the skills to design event-sourced systems, build fault-tolerant job queues, and scale applications across multiple nodes and regions all while maintaining the reliability and performance Elixir is known for. Key topics include: OTP processes, supervisors, and fault tolerance Distributed naming, discovery, and service coordination Event-driven pipelines with GenStage and Broadway CRDTs, CQRS, and event sourcing patterns in Elixir Deployment with Mix releases, Docker, and Kubernetes Observability with Telemetry, metrics, and OpenTelemetry Scaling, load balancing, and multi-region architectures If you want to move beyond single-node applications and harness the full power of Elixir for distributed computing, this book is your roadmap. Take the next step in your Elixir journey master distributed systems and build applications that scale effortlessly and recover gracefully. Order your copy today and start building production-grade systems with confidence.
Distributed Algorithms For Message Passing Systems
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Author : Michel Raynal
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Distributed Algorithms For Message Passing Systems written by Michel Raynal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.
Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities. Whereas parallel computing is mainly concerned with 'efficiency', and real-time computing is mainly concerned with 'on-time computing', distributed computing is mainly concerned with 'mastering uncertainty' created by issues such as the multiplicity of control flows, asynchronous communication, unstable behaviors, mobility, and dynamicity. While some distributed algorithms consist of a few lines only, their behavior can be difficult to understand and their properties hard to state and prove. The aim of this book is to present in a comprehensive way the basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an asynchronous network. The book is composed of seventeen chapters structured into six parts: distributed graph algorithms, in particular what makes them different from sequential or parallel algorithms; logical time and global states, the core of the book; mutual exclusion and resource allocation; high-level communication abstractions; distributed detection of properties; and distributed shared memory. The author establishes clear objectives per chapter and the content is supported throughout with illustrative examples, summaries, exercises, and annotated bibliographies. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students in computer science and computer engineering, graduate students in mathematics interested in distributed computing, and practitioners and engineers involved in the design and implementation of distributed applications. The reader should have a basic knowledge of algorithms and operating systems.
Distributed Computing
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Author : Hagit Attiya
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 1998
Distributed Computing written by Hagit Attiya and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
Mastering Tools Taming Daemons
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Author : Dean Brock
language : en
Publisher:
Release Date : 1995
Mastering Tools Taming Daemons written by Dean Brock and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
If you are trying to become (or just appear to be) a Unix wizard; if you use Unix and no longer get lost making your way through the system; if you can create directories, edit files, grep occasionally, if you'd sometimes like to write a simple shell script; or even if you can write a C program; then this book is for you. Mastering Tools, Taming Daemons is unique in its broad and concise coverage of the Unix system including utilities, administration, software development, networking, and internal operation. This book will help you do many things and solve many problems.