InfoQ Homepage Infrastructure Content on InfoQ
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Grails Transactions
Burt Beckwith discusses performing transactions in Grails, covering services, customizing transaction attributes (isolation, propagation levels), two-phase commit, using JMS, and testing the code.
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Deploying, Scaling, and Running Grails on AWS and VPC
Ryan Vanderwerf explains how to create and deploy a Grails application on AWS VPC using various services such as RDS, S3, autoscaling, S3FS, EBS, etc.
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How Zynga Handles Monitoring at Scale in Its Hybrid zCloud
Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.
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Architecting Organizations for the Cloud
Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.
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From The Lab To The Factory: Building A Production Machine Learning Infrastructure
Josh Wills discusses using Hadoop technologies to build real-time data analysis models with a focus on strategies for data integration, large-scale machine learning, and experimentation.
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Data Science for Hire Ed
Gloria Lau describes some of the products built for the higher education sector, the data standardization process, determining school similarity and identifying notable alumni.
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Machine Learning & Recommender Systems at Netflix Scale
Xavier Amatriain discusses the machine learning algorithms and architecture behind Netflix' recommender systems, offline experiments and online A/B testing.
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The Yin and Yang of Hardware Heterogeneity: Can Software Survive?
Kathryn S. McKinley discusses research approaches and results that abstract, choose, and exploit hardware heterogeneity providing computational power at low energy consumption levels.
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The Art of Builds - An In-depth Comparison of Build Tools
Hans Dockter discusses build systems from a declarative vs. imperative perspective, the importance of a rich execution model and problems with POM, providing examples from Gradle, Maven and Ant.
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Data & Infrastructure at Airbnb
Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.
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Redesigning PayPal APIs for Scale and Simplicity
Deepak Nadig, Praveen Alavilli present how PayPal redesigned its APIs based on lessons learnt developing their services in over 14 years, and the principles, patterns and anti-patterns used.
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Scaling Pinterest
Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.
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