InfoQ Homepage Performance Content on InfoQ
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How SoundCloud Uses Cassandra
Emily Green is taking a look at how SoundCloud uses Cassandra. She describes a couple of Cassandra instances, from the point of view of the products and functionality they support.
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Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't
Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.
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Thinking in a Highly Concurrent, Mostly-functional Language
Francesco Cesarini illustrates how the Erlang way of thinking about problems leads to scalable and fault-tolerant designs, describing 3 ways of clustering Erlang nodes within the server side domain.
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Cluster Management at Google
John Wilkes shares lessons learned managing clusters at the scale of Google.
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Performance Tuning Grails Applications
Lari Hotari discusses how to optimize Grails' performance to get full benefits from it.
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Aeron: The Next Generation in High-performance Messaging
Martin Thompson focuses on the design of Aeron, what they learned trying to achieve consistent performance, and challenges performing UDP messaging in a lock-free and wait-free manner.
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Java Performance Panel
The panelists discuss Java performance topics, bringing their specific experiences to bear.
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Stuff I Learned about Performance
Mike Barker shares lessons learned at LMAX Exchange: starting from a clean domain model is imperative and understanding the trade-offs between performance and safety/generality/functionality.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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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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Cloud-scale Event Processing using Rx
Bart De Smet explains what it took to bring the concepts of Reactive Extensions (Rx) to the cloud to deal with latency, scale, reliability, and other concerns.
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