InfoQ Homepage Infrastructure Content on InfoQ
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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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DevOps Patterns to Scale Web Applications using Cloud Services
Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.
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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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API Security and Federation Patterns
The role of API management infrastructure in API Security, API Access Control and API Federation and its interaction with enterprise infrastructure, social identity and application developers.
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Programming a 144-computer Chip to Minimize Power
Chuck Moore discusses coding techniques for power savings: tight coding to minimize the number of instructions executed, reducing instruction fetches, transistor switching, and duty cycle.
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Growing from the Few to the Many: Scaling the Operations Organization at Facebook
Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.
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From Code to Monkeys: Continuous Delivery at Netflix
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
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7 Deadly Sins of Automated Software Testing
Adrian Smith covers symptoms, root problems and guidance on recommended solutions for avoiding automated testing mistakes.
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R for Big Data
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
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