InfoQ Homepage Architecture & Design Content on InfoQ
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Scala in Large Scale Systems
This is the first installment in a series about using Scala for large-scale data stores and analytics. Dave Hrycyszyn speaks to Andrew Jayne, senior software engineer at McLaren Applied Technologies, about the experience of building a custom high-performance data store in Scala.
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Big Data Processing with Apache Spark – Part 1: Introduction
Apache Spark is an open source big data processing framework built around speed, ease of use, and sophisticated analytics. In this article, Srini Penchikala talks about how Apache Spark framework helps with big data processing and analytics with its standard API. He also discusses how Spark compares with traditional MapReduce implementation like Apache Hadoop.
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Evo: The Agile Value Delivery Process, Where ‘Done’ Means Real Value Delivered; Not Code
Current agile practices are far too narrowly focused on delivering code to users and customers. There is no systems-wide view of other stakeholders, of databases, and anything else except the code. This article describes what ‘Evo’ is at core, and how it is different from other Agile practices, and why ‘done’ should mean ‘value delivered to stakeholders’.
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Building a Mars Rover Application with DynamoDB
DynamoDB is a NoSQL database service that aims to be easily managed, so you don't have to worry about administrative burdens such as operating and scaling. This article shows how to use Amazon DynamoDB to create a Mars Rover application. You can use the same concepts described in this post to build your own web application.
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5 Advanced Java Debugging Techniques Every Developer Should Know About
With architectures becoming more distributed and code more asynchronous, pinpointing and resolving errors in production is harder than ever. In this article we investigate five advanced techniques that can help you get to the root cause of painful bugs in production more quickly, without adding material overhead.
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InfoQ Talks to Azul Systems Gil Tene Part 2
In this part 2 of InfoQ's conversation with Gil Tene of Azul Systems, Gil discusses their latest engineering project aimed at bring better low-level memory layout control to Java, and the requirement modern high-performance Java applications have for this solution.
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InfoQ Talks to Azul Systems Gil Tene about Zing, Zulu, and New Releases
Gil Tene of Azul Systems talks about shipping their Java 8 compatible release, the need for certified builds and the problem with the current approach to Java taken by Docker.
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Java 9 and Beyond. Oracle's Brian Goetz and John Rose Glimpse into the Future
Oracle's Brian Goetz (Java Language Architect) and John Rose (JVM Architect) take us on a deep-dive discussion about some of the technologies and features being discussed for Java 9 and beyond.
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Lessons Learned by Scaling Android Apps - AnDevCon Panel Summary
At the last AnDevCon, Doug Bateman moderated a panel focused on what it takes to build Android apps that scale up to millions of global users. This included team management, testing and design for testability, feature and release management, support, open source contributions, alternative architectures, and more.
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Teaching Kids Java Programming
During the holiday season we think about our families, our children, and and their future. In this article, Yakov Fain give us some insight about what lead him to write his new book "Java Programming for Kids" (now available as a free download) and includes some sample chapters.
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Book Review and Interview: The Practice of Cloud System Administration
The new book, The Practice of Cloud System Administration: Designing and Operating Large Distributed Systems, looks at a wide range of considerations for cloud-scale systems. In this book review and interview with the authors, we look at how teams can apply proven best practices.
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Designing a Highly Available, Fault Tolerant, Hadoop Cluster with Data Isolation
As data grows exponentially, the modern Hadoop ecosystem provides not only a reliable distributed aggregation system that delivers data parallelism, but also analytics for great data insights. In this article Monica Beckwith, starting from core Hadoop components, investigates the design of a highly available, fault tolerant Hadoop cluster, adding security and data-level isolation.