InfoQ Homepage Architecture & Design Content on InfoQ
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How Ousta Simulates Rides within a Two-Minute Test Cycle
Egyptian ride hailing provider Ousta has two mobile apps which interact with an event driven architecture using microservices. The combination of EDA and microservices facilitated a simulation system for automation, and a rapid development and testing cycle.
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The Three Generations of AWS
When building a new system on AWS we are faced with three architectural choices around application packaging, runtime service and load balancing service. This article looks at these three options, and concludes that the Amazon EC2 Container Service provides the best architectural option for today's applications.
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Testing RxJava
You are ready to explore reactive opportunities in your code but you are wondering how to test out the reactive idiom in your codebase. In this article Java Champion Andres Almiray provides techniques and tools for testing RxJava.
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The SAM Pattern: Lessons Learned Building Functional Reactive Front-End Architectures
Modern User Experience requires an architecture that is able to continuously “react” not just to user inputs, but also to its broader environment. In this article, Jean-Jacques Dubray and Gunar C. Gessner talk about the lessons learned implementing the SAM pattern with different frameworks and libraries.
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Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform
Yahoo uses Hadoop for different use cases in big data & machine learning areas. They also use deep learning techniques in their products like Flickr. InfoQ spoke with Peter Cnudde on how Yahoo leverages big data platform technologies.
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A Quick Primer on Isolation Levels and Dirty Reads
Recently MongoDB found itself at the top of Reddit again when developer David Glasser learned the hard way that MongoDB performs dirty reads by default. In this article we will explain what isolation levels and dirty reads are and how they are implemented in popular databases.
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Java 9, OSGi and the Future of Modularity (Part 2)
The flagship feature of Java 9 will be the new Java Platform Module System (JPMS). Given the maturity of OSGi there were technical, political and commercial reasons why another Java module system will soon exist. In this article we compare the two from a technical perspective and see how JPMS and OSGi can work together.
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Developing Transactional Microservices Using Aggregates, Event Sourcing and CQRS - Part 1
Developing transactional business applications using the microservice architecture is challenging, because domain models, transactions and queries are resistant to functional decomposition. This article describes a way to develop microservices that solves these problems by using Domain Driven Design, Event Sourcing and Command Query Responsibility Segregation (CQRS).
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An Open API Initiative Update
The Open API Initiative group is evolving what has become the de-facto standard API Description Format to produce a consistent and compatible format for describing APIs, allowing interoperation between tooling, systems, and runtime environments. Tony Tam, creator of the popular Swagger Specification is providing an update on the group activity.
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Traffic Data Monitoring Using IoT, Kafka and Spark Streaming
Internet of Things (IoT) is an emerging disruptive technology and becoming an increasing topic of interest. One of the areas of IoT application is the connected vehicles. In this article we'll use Apache Spark and Kafka technologies to analyse and process IoT connected vehicle's data and send the processed data to real time traffic monitoring dashboard.
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Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines
With support for Machine Learning data pipelines, Apache Spark framework is a great choice for building a unified use case that combines ETL, batch analytics, streaming data analysis, and machine learning. In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines.
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CQRS for Enterprise Web Development: What's in it for Business?
With a focus on the business case for a CQRS architecture, this article covers the core concepts of Command Query Responsibility Segregation, and contrasts them with a common, n-tier architecture. Benefits including scalability and maintainability are highlighted, which can reduce the total cost of ownership, and lead to an improved return on investment when choosing a CQRS architecture.