A definitive guide to mastering and implementing concurrency patterns in your applicationsKey FeaturesBuild scalable apps with patterns in multithreading, synchronization, and functional programmingExplore the parallel programming and multithreading techniques to make the code run fasterEfficiently use the techniques outlined to build reliable applicationsBook DescriptionSelecting the correct concurrency architecture has a significant impact on the design and performance of your applications.
Learn how to implement the reactive programming paradigm with C++ and build asynchronous and concurrent applications Key FeaturesEfficiently exploit concurrency and parallelism in your programs Use the Functional Reactive programming model to structure programs Understand reactive GUI programming to make your own applications using Qt Book DescriptionReactive programming is an effective way to build highly responsive applications with an easy-to-maintain code base.
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.
Immerse yourself in the world of Python concurrency and tackle the most complex concurrent programming problemsKey FeaturesExplore the core syntaxes, language features and modern patterns of concurrency in PythonUnderstand how to use concurrency to keep data consistent and applications responsiveUtilize application scaffolding to design highly-scalable programs Book DescriptionPython is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing.
A step-by-step guide to building microservices using Python and Docker, along with managing and orchestrating them with KubernetesKey FeaturesLearn to use Docker containers to create, operate, and deploy your microservicesCreate workflows to manage independent deployments on coordinating services using CI and GitOps through GitHub, Travis CI, and FluxDevelop a REST microservice in Python using the Flask framework and Postgres databaseBook DescriptionMicroservices architecture helps create complex systems with multiple, interconnected services that can be maintained by independent teams working in parallel.
Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and PollyKey FeaturesExplore popular machine learning and deep learning services with their underlying algorithmsDiscover readily available artificial intelligence(AI) APIs on AWS like Vision and Language ServicesDesign robust architectures to enable experimentation, extensibility, and maintainability of AI appsBook DescriptionFrom data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS.
Deep dive into the unified, distributed storage system in order to provide excellent performanceAbout This BookLeverage Ceph's advanced features such as erasure coding, tiering, and BluestoreSolve large-scale problems with Ceph as a tool by understanding its strengths and weaknesses to develop the best solutionsA practical guide that covers engaging use cases to help you use advanced features of Ceph effectivelyWho This Book Is ForIf you are a developer and an administrator who has deployed a Ceph cluster before and are curious about some of the most advanced features in order to improve performance then this book is for you What You Will LearnKnow when and how to use some of Ceph's advanced new featuresSet up a test cluster with Ansible and some virtual machines using VirtualBox and VagrantDevelop novel solutions to massive problems with librados and shared object classes.
Kick-start your learning journey and implement both Kubernetes and cloud-native technologies in real-life scenarios with this essential, practical guide to the KCNA examPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain an in-depth understanding of cloud-native computing and Kubernetes conceptsPrepare for the KCNA exam with the help of practical examples and mock examsManage your applications better with Kubernetes container orchestrationBook DescriptionThe job market related to the cloud and cloud-native technologies is both growing and becoming increasingly competitive, making certifications like KCNA a great way to stand out from the crowd and learn about the latest advancements in cloud technologies.
Focusing on grid computing and asynchronism, Parallel Iterative Algorithms explores the theoretical and practical aspects of parallel numerical algorithms.
This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment.
Internet of Things: Challenges, Advances, and Applications provides a comprehensive introduction to IoT, related technologies, and common issues in the adoption of IoT on a large scale.
Distributed Systems: An Algorithmic Approach, Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing.
This book presents an in-depth description of the Arrowhead Framework and how it fosters interoperability between IoT devices at service level, specifically addressing application.
In recent years, a lot of work has been done in an effort to incorporate Swarm Intelligence (SI) techniques in building an adaptive routing protocol for Mobile Ad Hoc Networks (MANETs).
Unlike other books about R, written from the perspective of statistics, this book is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R.
Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs.
Software development today is embracing events and streaming data, which optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.
While many companies ponder implementation details such as distributed processing engines and algorithms for data analysis, this practical book takes a much wider view of big data development, starting with initial planning and moving diligently toward execution.
Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices.
Distributed systems have become more fine-grained in the past 10 years, shifting from code-heavy monolithic applications to smaller, self-contained microservices.
Microservices can have a positive impact on your enterprisejust ask Amazon and Netflixbut you can fall into many traps if you dont approach them in the right way.
Microservices can have a positive impact on your enterprisejust ask Amazon and Netflixbut you can fall into many traps if you dont approach them in the right way.
This text provides one of the broadest presentations of parallel processing available, including the structure of parallelprocessors and parallel algorithms.
