InfoQ Homepage Infrastructure Content on InfoQ
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Immutable Infrastructure: Rise of the Machine Images
Axel Fontaine looks at what Immutable Infrastructure is and how it affects scaling, logging, sessions, configuration, service discovery and more.
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The Mechanics of Testing Large Data Pipelines
Mathieu Bastian explores the mechanics of unit, integration, data and performance testing for large, complex data workflows, along with the tools for Hadoop, Pig and Spark.
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How to Have Your Causality and Wall Clocks Too
Jon Moore talks about distributed monotonic clocks (DMC) whose timestamps can reflect causality but which have a component that stays close to wall clock time.
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Stream Processing with Apache Flink
Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.
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Rethinking Streaming Analytics for Scale
Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.
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Monkeys in Lab Coats: Applying Failure Testing Research @Netflix
The authors present how lineage-driven fault injection evolved from a theoretical model into an automated failure testing system that leverages Netflix’s fault injection and tracing infrastructures.
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Understanding Hardware Transactional Memory
Gil Tene explores the underlying mechanics that power HTM on current platforms, focusing on things developers need to understand when contemplating the use of HTM in new and existing code.
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Reactive Web Applications
Stephane Maldini and Rossen Stoyanchev discuss building reactive web applications, the choice of runtimes, using reactive streams for network I/O and the reactive programming model.
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Developing Real-time Data Pipelines with Apache Kafka
Joe Stein makes an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log.
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Building Highly-resilient Systems at Pinterest
Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.
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Inside Yelp's SOA Infrastructure
Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.
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Applied Spring Integration, Spring AMQP and RabbitMQ in Spring XD
Gary Russell discusses how Spring Integration and Spring AMQP are used as two of the underlying technologies in Spring XD.
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