Key Features Learn how to leverage various Amazon Web Services (AWS) components and services to build a secure, reliable, and robust environment to host your applications on Deep dive into the core AWS service offerings with hands-on tutorials, real
Workshop spark-in-practice In this workshop the exercises are focused on using the Spark core and Spark Streaming APIs, and also the dataFrame on data processing. Exercises are available both in Java and Scala on my github account (here in java). Yo
Akka is a Scala-based toolkit that simplifies developing concurrent distributed applications. Akka uses Actors-independently executing processes that communicate via message passing—as the foundation for fault-tolerant applications where individual
Key Features You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant Make use of Amazon Web Services along with Python to establish a powerful remote computation system Train Python to handle
Harness reactive programming to build scalable and fault-tolerant distributed systems using Scala and Akka About This Book Use the concepts of reactive programming to build distributed systems running on multiple nodes Get to grips with the full ran
Summary Mesos in Action introduces readers to the Apache Mesos cluster manager and the concept of application-centric infrastructure. Filled with helpful figures and hands-on instructions, this book guides you from your first steps creating a highly
An Architecture for Fast and General Data Processing on Large Clusters.pdf Discretized Streams An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters.pdf Discretized Streams Fault-Tolerant Streaming Computation at Scale.pdf Gr
Mesos makes it easier to develop and manage fault-tolerant and scalable distributed applications. Mesos provides primitives that allow you to program for the aggregated resource pool, without worrying about managing resources on individual machines.
Reactive applications build on top of components that communicate asynchronously as they react to user and system events. As a result, they become scalable, responsive, and fault-tolerant. Java and Scala developers can use the Play Framework and the
Akka in Action shows you how to build message-oriented systems with Akka. This comprehensive, hands-on tutorial introduces each concept with a working example. You’ll start with the big picture of how Akka works, and then quickly build and deploy a
This thesis is organized into the following chapters: • Chapter 1 introduces the main problem area that the thesis addresses, gives a background to the work in the thesis and a chronology of the work performed in the thesis together with a detailed
One of the biggest challenges for organizations that have adopted microservice architecture is the lack of architectural, operational, and organizational standardization. After splitting a monolithic application or building a microservice ecosystem
对于微服务架构最大的挑战来自于微服务缺少架构和标准。在经历大量实战后，工程师们摸索出了一套生存环境中高度灵活、可伸缩的微服务架构 One of the biggest challenges for organizations that have adopted microservice architecture is the lack of architectural, operational, and organizational standardization. After splitti
Linux: Powerful Server Administration by Uday R. Sawant English | 27 Apr. 2017 | ASIN: B0728BPQRT | 994 Pages | AZW3 | 22.18 MB Get hands-on recipes to make the most of Ubuntu Server, CentOS 7 Linux Server and RHEL 7 Server About This Book Get Linux
What's Html Agility Pack (HAP)? This is an agile HTML parser that builds a read/write DOM and supports plain XPATH or XSLT (you actually don't HAVE to understand XPATH nor XSLT to use it, don't worry...). It is a .NET code library that allows you to
Features ■ Core: ARM 32-bit Cortex™-M3 CPU – 72 MHz, 90 DMIPS with 1.25 DMIPS/MHz – Single-cycle multiplication and hardware division – Nested interrupt controller with 43 maskable interrupt channels – Interrupt processing (down to 6 CPU cycles) wit
Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the
Real-time data processing is no longer a luxury exercised by a few big companies but has become a necessity for businesses that want to compete, and Apache Storm is becoming the de facto standard to develop real-time processing pipelines. The key fe
