InfoQ Homepage Architecture & Design Content on InfoQ
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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.
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Java 9, OSGi and the Future of Modularity (Part 1)
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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Polymorphism of MVC-esque Web Architecture: Classification
The MVC architecture has a long and storied history, from its early days in the Smalltalk community to its modern implementation in JavaScript frameworks. In this article, Brent Chen explains the history of the MVC architecture and its different forms in modern applications, both on the client and on the server.
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Pros and Cons of Cross-Platform Mobile App Development
The world has gone mobile. One of the most challenging situations for app developers is whether to develop a native mobile app or go for cross-platform. This article discusses the pros and cons of cross-platform mobile app development.
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Spark GraphX in Action Book Review and Interview
“Spark GraphX in Action” book from Manning Publications, authored by Michael Malak and Robin East, provides a tutorial based coverage of Spark GraphX, the graph data processing library from Apache Spark framework. InfoQ spoke with authors about the book and Spark GraphX library as well as overall Spark framework and what's coming up in the area of graph data processing and analytics.
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Two Mistakes You Need to Avoid When Integrating Services
With SOA, businesses moved from monolithic applications to heterogeneous designs by decomposing functionality into services. However, architects must be careful when integrating services. Often enterprises assume adopting patterns like ESB can help. Unfortunately, there are hidden challenges with these patterns. The danger is they go unnoticed during development but surface when a system is live.
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Continuous Delivery Coding Patterns: Latent-to-Live Code & Forward Compatible Interim Versions
This article describes two novel practices for continuous delivery: Latent-to-live code pattern and Forward compatible interim versions. You can use these practices to simultaneously increase speed and reliability of software development and reduce risks. These practices are built on top of two other essential continuous delivery practices: trunk-based-development and feature toggles.
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Technical Practices as a Hack on Consciousness: Why to Hack Yourself
Software technical practices are usually adopted as a means of creating better products. These practices can create and maintain a healthy human system. Technical practices raise the consciousness of individuals and the team as a whole. Technical practices hack consciousness giving us a quick, deep chute into depths of connection that improve our selves, our products, and our world.
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Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines
InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
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Christine Doig on Data Science as a Team Discipline
Christine Doig spoke at this year's OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem. InfoQ spoke with Christine about challenges data science teams need to address to be more effective.