I recently wrote my first post for the Loggly blog. It illustrates why host machines are often the worst place to store the logs those machines are generating.
You can check it out here.
Monthly Archives: March 2013
Monitoring Storm Kafka Spouts using Python
When running a large real-time processing system, monitoring is critical. But it does more than allow you to keep an eye on your system. During development it allows you test hypotheses about how it works, how it performs when certain parameters are changed, and takes the guessing out of working with dynamic systems.
Storm, a real-time computational framework open-sourced by Twitter, is such a system and comes with a Spout, allowing messages to be streamed from a Kafka Broker.