Software architecture: the hard parts, Ford, Neal Richards, Mark Sadalage, Pramod Dehghani, Zhamak
Автор: Beckner, Mark Название: Upgrading and migrating to biztalk server 2016 ISBN: 1501515071 ISBN-13(EAN): 9781501515071 Издательство: Walter de Gruyter Рейтинг: Цена: 53290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
There are a variety of considerations you'll need to take into account when migrating your solutions to BizTalk 2016. In this book, you'll find detailed information about how to migrate your components "as-is," as well as recompile them with the latest version of Visual Studio. You'll look at ways to improve your components pre-migration, as well as troubleshoot issues within these components. You'll learn how to make intelligent mapping updates, especially with XSLT, and how to simplify your overall architecture. Additionally, working with BizTalk 2016 in an Azure environment and building BizTalk Azure Services are covered.
Readers will look at migrating maps, orchestrations, .NET assemblies, database components, EDI parties and configurations, and other artifacts found in BizTalk solutions. They will also be able to quickly come to an understanding of what will be involved in a migration and what will be required for resourcing and costs associated with a migration. Readers will find information that will cover virtually every aspect of their upgrade to BizTalk 2016, and should come away with a simpler solution once that migration is complete.
Название: Advanced distributed measuring systems - exhibits of applications ISBN: 8792329721 ISBN-13(EAN): 9788792329721 Издательство: Taylor&Francis Рейтинг: Цена: 99010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Measuring systems are an essential part of all automated production systems. They can serve to ensure the quality of production, or they can be used to assure the reliability and safety in various areas. The same applies in principle for fields of telecommunication, energy production and distribution, health care, etc. Similarly, no serious scientific research in the field of natural and technical sciences can be performed without objective data about the investigated object, which is usually acquired using measuring system. Demands on the speed and accuracy of measurement increase in all areas in general. These are the grounds for publishing this book.
Advanced Distributed Measuring Systems: Exhibits of Application offers eight up-to-date examples of typical laboratory, industrial, and biomedical applications of advanced measuring and information systems, including virtual instrumentation. The book arose based on the most interesting papers from this area published at IDAACS 2011 conference. However, single chapters include not only system design solution in wider context but also relevant theoretical parts, achieved results, and possible future ways of design and development.
Technical topics discussed in the book include: - embedded applications; - small distributed systems; - automotive distributed system; - distributed monitoring systems based on wireless networks; - synchronization in large DAQ systems; - virtual instrumentation.
Advanced Distributed Measuring Systems: Exhibits of Application is ideal for personnel of firms dealing with control systems, automotive electronics, airspace instrumentation, health care technology, etc. as well as academic staff and postgraduate students in electrical, control, and computer engineering.
Автор: Nadareishvili Irakli Название: Microservice Architecture ISBN: 1491956259 ISBN-13(EAN): 9781491956250 Издательство: Wiley Рейтинг: Цена: 33780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Have you heard about the tremendous success Amazon and Netflix have had by switching to a microservice architecture? Are you wondering how this can benefit your company? Or are you skeptical about how it might work? If you`ve answered yes to any of these questions, this practical book will benefit you.
Автор: Chen Jianwen Wendy, Zhang Yan, Gottschalk Ron Название: Handbook of Research on End-To-End Cloud Computing Architecture Design ISBN: 1522507590 ISBN-13(EAN): 9781522507598 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 316010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Cloud computing has become integrated into all sectors, from business to quotidian life. Since it has revolutionized modern computing, there is a need for updated research related to the architecture and frameworks necessary to maintain its efficiency.The Handbook of Research on End-to-End Cloud Computing Architecture Design provides architectural design and implementation studies on cloud computing from an end-to-end approach, including the latest industrial works and extensive research studies of cloud computing. This handbook enumerates deep dive and systemic studies of cloud computing from architecture to implementation. This book is a comprehensive publication ideal for programmers, IT professionals, students, researchers, and engineers.
Improve your Azure architecture practice and set out on a cloud and cloud-native journey with this Azure cloud native architecture guide
Key Features
Discover the key drivers of successful Azure architecture
Implement architecture maps as a compass to tackle any challenge
Understand architecture maps in detail with the help of practical use cases
Book Description
Azure offers a wide range of services that enable a million ways to architect your solutions. Complete with original maps and expert analysis, this book will help you to explore Azure and choose the best solutions for your unique requirements.
Starting with the key aspects of architecture, this book shows you how to map different architectural perspectives and covers a variety of use cases for each architectural discipline. You'll get acquainted with the basic cloud vocabulary and learn which strategic aspects to consider for a successful cloud journey. As you advance through the chapters, you'll understand technical considerations from the perspective of a solutions architect. You'll then explore infrastructure aspects, such as network, disaster recovery, and high availability, and leverage Infrastructure as Code (IaC) through ARM templates, Bicep, and Terraform. The book also guides you through cloud design patterns, distributed architecture, and ecosystem solutions, such as Dapr, from an application architect's perspective. You'll work with both traditional (ETL and OLAP) and modern data practices (big data and advanced analytics) in the cloud and finally get to grips with cloud native security.
By the end of this book, you'll have picked up best practices and more rounded knowledge of the different architectural perspectives.
What You Will Learn
Gain overarching architectural knowledge of the Microsoft Azure cloud platform
Explore the possibilities of building a full Azure solution by considering different architectural perspectives
Implement best practices for architecting and deploying Azure infrastructure
Review different patterns for building a distributed application with ecosystem frameworks and solutions
Get to grips with cloud-native concepts using containerized workloads
Work with AKS (Azure Kubernetes Service) and use it with service mesh technologies to design a microservices hosting platform
Who this Book is for
This book is for aspiring Azure Architects or anyone who specializes in security, infrastructure, data, and application architecture. If you are a developer or infrastructure engineer looking to enhance your Azure knowledge, you'll find this book useful.
Автор: Gabor Kecskemeti Название: Applying Integration Techniques and Methods in Distributed Systems ISBN: 1522582959 ISBN-13(EAN): 9781522582953 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 239310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. Applying Integration Techniques and Methods in Distributed Systems is a critical scholarly publication that defines the current state of distributed systems, determines further goals, and presents architectures and service frameworks to achieve highly integrated distributed systems and presents solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting topics such as multimedia, programming languages, and smart environments, this book is ideal for system administrators, integrators, designers, developers, researchers, and academicians.
Автор: Bai Haishi, Scholl Boris Название: Edge Computing and Capability-Oriented Architecture ISBN: 0367549816 ISBN-13(EAN): 9780367549817 Издательство: Taylor&Francis Рейтинг: Цена: 84710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker.
Автор: Matei Zaharia Название: An Architecture for Fast and General Data Processing on Large Clusters ISBN: 1970001593 ISBN-13(EAN): 9781970001594 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 62660.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too.This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing.We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective.This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.
Автор: Matei Zaharia Название: An Architecture for Fast and General Data Processing on Large Clusters ISBN: 1970001569 ISBN-13(EAN): 9781970001563 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 51620.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too.This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing.We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective.This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.
Автор: Sreeram Praveen Kumar Название: Azure Serverless Computing Cookbook - Third Edition: Build and monitor Azure applications hosted on serverless architecture using Azure functions ISBN: 1800206607 ISBN-13(EAN): 9781800206601 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With the pace at which the cloud technology is progressing, developers can find it difficult to understand the different technical methods available to solve a business problem. This book will help you to understand how to develop native serverless applications in the native way and integrate them with other related services.
Автор: Sheng, Cheng Bai, Jie Sun, Qi Название: Software-defined wide area network architectures and technologies ISBN: 0367695774 ISBN-13(EAN): 9780367695774 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Starting with the problems and challenges faced by enterprise Wide Area Networks, this book provides a detailed description of Software Defined Networks` background and basic features, as well as the system architecture, operating mechanism, and application scenarios of SD-WAN solutions based on the implementation of Huawei SD-WAN solutions.
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