Apache Kafka Bypasses The Scaling Issues of JMS
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From the project's website:
"It is designed to support the following:
Persistent messaging with O(1) disk structures that provide constant time performance even with many TB of stored messages.
High-throughput: even with very modest hardware Kafka can support hundreds of thousands of messages per second.
Explicit support for partitioning messages over Kafka servers and distributing consumption over a cluster of consumer machines while maintaining per-partition ordering semantics."
This presentation will give an introduction to Apache Kafka and present a few use cases for using it as an integration point between different systems including standalone Java applications and a Hadoop cluster.
Chris Curtin is the head of Technical Research at Silverpop. He has over 20 years of experience developing large scale applications in Java, C++, Linux/Unix and relational databases.
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