InfoQ Homepage Infrastructure Content on InfoQ
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Customer Insight, from Data to Information
Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.
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Distributed Platform Development with Groovy
Dan Woods discusses the approach to developing a scalable enterprise architecture, and demonstrates implementations based on the variety of technologies available from the Groovy ecosystem.
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Big Data in Memory
John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.
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Deis + Mesos: Docker PaaS at Scale
Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.
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Gobblin: A Framework for Solving Big Data Ingestion Problem
Lin Qiao discusses the architecture of Gobblin, LinkedIn’s framework for addressing the need of high quality and high velocity data ingestion.
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Continuous Delivery the French Way!
Arnaud Pflieger, Baeli Dimitri present their practices and tools: Octopus-a git branching model, no dedicated testers, no ops, Selenium, Zeno – a diff tool comparing production and staging code.
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Better Together - Using Spark and Redshift to Combine Your Data with Public Datasets
Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.
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Become a Data-driven Organization with Machine Learning
Peter Harrington explains what you do with machine learning, and what are the building blocks for an application that uses machine learning from collected data to creating predictions for customers.
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How I Learned to Stop Worrying & Love the Lambda
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
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Consul: Service-oriented at Scale
Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.
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Machine Learning for Programming
Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.
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REST: I don't Think it Means What You Think it Does
Stefan Tilkov makes a pragmatic introduction to the basic principles of the Web's architectural approach, and takes a look at the most common misconceptions.
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