Distributed systems

Discover how different software architectural models can help you solve problems, and learn best practices for the software development cycleKey FeaturesLearn concepts related to software architecture and embrace them using the latest features of Spring 5Discover architectural models and learn when to apply themGain knowledge of architectural principles and how they can be used to provide accountability and rationale for architectural decisionsBook DescriptionSpring 5 and its ecosystem can be used to build robust architectures effectively.

Build real-world applications with Python 2.

Understand how to apply distributed tracing to microservices-based architecturesKey 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 DescriptionMastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure.

Publisher's note: This edition from 2018 is outdated and does not include edge computing.

Learn and understand the need to architect cloud applications and migrate your business to cloud efficientlyKey FeaturesUnderstand the core design elements required to build scalable systemsPlan resources and technology stacks effectively for high security and fault toleranceExplore core architectural principles using real-world examplesBook DescriptionCloud computing has proven to be the most revolutionary IT development since virtualization.

Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains.

Intel Xeon Phi Processor High Performance Programming is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing.

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.

This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system.

GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research.

'This book has had an enormous impact' Satya Nadella, CEO, Microsoft'Spectacular.

The Smart Grid security ecosystem is complex and multi-disciplinary, and relatively under-researched compared to the traditional information and network security disciplines.

This book explores the transformative potential of blockchain technology and shows how blockchain can promote equitable access to resources and bridge societal gaps.

Every distributed system strives for reliability, performance, and quality, but building such a system is hard.

This book offers a comprehensive overview of the theory and practical applications of swarm intelligence in fog computing, beyond 5G networks, and information security.

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline.

A comprehensive introduction to automated application deployment on Kubernetes for beginnersKey FeaturesEffectively manage applications deployed in Kubernetes using HelmLearn to install, upgrade, share, and manage applications deployed in KubernetesGet up and running with a package manager for KubernetesBook DescriptionContainerization is currently known to be one of the best ways to implement DevOps.

Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things.

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing.

Don't waste your energy thinking about servers; use AWS to build enterprise-grade serverless applications.

Effectively deploy fully managed workloads using Google Cloud's serverless servicesKey FeaturesUse real-world use cases to understand the core functionalities of Functions as a ServiceExplore the potential of Cloud Run, Knative, Cloud Build, Google Kubernetes Engine, and Cloud StorageGet to grips with architectural decisions, seamless deployments, containerization, and serverless solutionsBook DescriptionGoogle Cloud's serverless platform allows organizations to scale fully managed solutions without worrying about the underlying infrastructure.

A comprehensive guide to help you understand the principles of Reactive and asynchronous programming and its benefitsKey FeaturesExplore the advantages of Reactive programmingUse concurrency and parallelism in RxPY to build powerful reactive applicationsDeploy and scale your reactive applications using DockerBook DescriptionReactive programming is central to many concurrent systems, but it's famous for its steep learning curve, which makes most developers feel like they're hitting a wall.

Leverage Kubernetes and container architecture to successfully run production-ready workloadsKey FeaturesImplement Kubernetes to orchestrate and scale applications proficientlyLeverage the latest features of Kubernetes to resolve common as well as complex problems in a cloud-native environmentGain hands-on experience in securing, monitoring, and troubleshooting your applicationBook DescriptionKubernetes is a popular open source orchestration platform for managing containers in a cluster environment.

Leverage the power of Ansible to gain complete control over your systems and automate application deploymentKey FeaturesUse Ansible 2.

Compose and decompose ARM templates and use advanced concepts like looping, conditions, dependencies, PowerShell and Desired State Configuration.

Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.

Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things.

Intel Xeon Phi Processor High Performance Programming is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing.

GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB.

Mobile Security and Privacy: Advances, Challenges and Future Research Directions provides the first truly holistic view of leading edge mobile security research from Dr.

Embedded Computing for High Performance: Design Exploration and Customization Using High-level Compilation and Synthesis Tools provides a set of real-life example implementations that migrate traditional desktop systems to embedded systems.

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline.

Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains.

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.

Service computing is a cross-disciplinary field that covers science and technology, and represents a promising direction for distributed computing and software development methodologies.

This book provides a set of practical processes and techniques used for multicore software development.

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing.

GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research.

Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture.

A comprehensive guide in developing and deploying high performance microservices with RustKey FeaturesStart your microservices journey and get a broader perspective on microservices development using RUST 2018,Build, deploy, and test microservices using AWSExplore advanced techniques for developing microservices such as actor model, Requests Routing, and threadsBook DescriptionMicroservice architecture is sweeping the world as the de facto pattern for building web-based applications.

Deploy, orchestrate, and monitor serverless applications using KubernetesKey FeaturesGet hands-on experience with frameworks, such as Kubeless, Apache OpenWhisk, and FunktionMaster the basics of Kubernetes and prepare yourself for challenging technical assessmentsLearn how to launch Kubernetes both locally and in a public cloudBook DescriptionKubernetes has established itself as the standard platform for container management, orchestration, and deployment.

This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and Internet of Things (IoT).

This is the book that will teach programmers to write faster, more efficient code for parallel processors.

Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses.

Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses.

The Art of Multiprocessor Programming promises to be the first comprehensive presentation of the principles and tools available for programming multiprocessor machines.

Design and create robust and resilient distributed solutions with AWSKey FeaturesDesign and secure virtual private network environments on the AWS cloudDeploy appropriate instance types and sizes based on performance and cost requirementsGain proficiency and confidence when designing virtual cloud environmentsBook DescriptionAmazon Web Services (AWS) provides trusted,cloud-based solutions to help you meet your business needs.