InfoQ Homepage Performance & Scalability Content on InfoQ
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Hadoop and NoSQL in a Big Data Environment
Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
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Gil Tene Discusses Garbage Collection, the OpenJDK and the JCP
Gil Tene talks to Charles Humble about different garbage collection techniques, and specific collectors including Azul's C4, IBM's Balanced GC, and Oracle's Garbage First, before moving on to discuss both the JCP and OpenJDK.
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Hardware friendly, high performance Java-Applications
Martin Thompson and David Farley discuss how to use the scientific method to create high performance systems by measuring performance and adapting the implementation to approach the limits of current hardware. The disruptor architecture is an open sourced result of their work at low-latency, high throughput systems for the retail trading platform of LMAX Ltd.
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Costin Leau on Spring Data, Spring Hadoop and Data Grid Patterns
In this interview recorded at JavaOne 2011 Conference, Spring Hadoop project lead Costin Leau talks about the current state and upcoming features of Spring Data and Spring Hadoop projects. He also talks about the Caching and Data Grid architecture patterns.
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Steve Vinoski and Bob Ippolito on Async I/O in Python and Node.js, Web Development in Erlang
Steve Vinoski and Bob Ippolito discuss web development with MochiWeb and Yaws and extending Erlang with native code. Also: async I/O in Python and Node.js vs Erlang.
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Jonas Bonér on Akka, Actors and Shared State, STM, Typesafe
Jonas Bonér explains the Akka project and the types of actors it offers as well as its transactional features. Also: a preview of how Akka 2.0 changes the management of (remote) actors.
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Orion Henry on Heroku, Doozer and Paxos, Ruby
Orion Henry explains what make Heroku's PaaS tick, in particular the new extensible Cedar stack as well as Doozer, the implementation of the Paxos algorithm created at Heroku.
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Ari Zilka on RAM is the New Disk & BigMemory
Terracotta creator Ari Zilka talks about about the RAM is the new disk and argues for scaling up before scaling out, comparing the architectural approaches of lots of VMs with small heaps vs. a few JVMs with very large heaps. Ari introduces BigMemory, a Java add-on to Enterprise Ehcache, which allows app designs with huge amounts of memory accessible in-process, with minimal garbage collection.
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Aaron Patterson on Rails 3.1 and Ruby Performance
Aaron Patterson talks about performance in Ruby and Rails, some of the challenges Rails and Rack pose for the Ruby GC, and much more.
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Justin Sheehy and Damien Katz on Riak and CouchDB
Justin Sheehy and Damien Katz discuss Riak and CouchDB, the strengths and trade-offs of different approaches to NoSQL, and why both databases are written in Erlang.
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Kostis Sagonas on Erlang, Types, Static Analysis and Refactoring
Kostis Sagons talks about how type checking can help with a dynamic language like Erlang and how static analysis tools like Dialyzer or automated refactoring tools like Tidier help keep code clean.
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Ville Tuulos on Big Data and Map/Reduce in Erlang and Python with Disco
Ville Tuulos talks about Disco, the Map/Reduce framework for Python and Erlang, real-world data mining with Python, the advantages of Erlang for distributed and fault tolerant software, and more.
