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Currently training going on for chukwa course. Interested candidates can avail the training by enrolling here. Here is the brief summary.


Chukwa is an open source data collection system for monitoring large distributed systems. Chukwa is a project that was developed for collecting and analyzing Hadoop logs.


Here are some advantages of Chukwa



  • Chukwa has a rich metadata model, meaning that semantically-meaningful subsets of data are processed together.
    • The metadata is collected automatically and stored in parallel with data. This eases the development of parallel, scalable MapReduce analyses.
    • Chukwa can collect a variety of system metrics and can receive data via a variety of network protocols, including syslog.
    • Chukwa works with Hadoop Distributed File System and MapReduce to process its data and hence can easily scale to thousands of nodes in both collection and analysis and also provides a familiar framework for processing the collected data.
    • The components of Chukwa are pluggable and allows for easy customization and enhancement.
    • It can maintain latencies while imposing very modest overheads on the Hadoop Cluster.
    • In recovering from failures, Chukwa takes advantage of local copies of log files, on the machines where they are generated.
    • This effectively will be pushing away the responsibility for maintaining data out of the monitoring system, and into the local filesystem on each machine.


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