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https://issues.apache.org/jira/browse/CHUKWA-306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12721354#action_12721354
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Jiaqi Tan commented on CHUKWA-306:
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Right, the backfilling tool is definitely part of the solution. The second part
is how we can generate the visualizations without requiring the user to
separately setup and configure Tomcat or any other web server, nor to setup and
configure a separate database server.
> Standalone (non-daemon) Chukwa operation
> ----------------------------------------
>
> Key: CHUKWA-306
> URL: https://issues.apache.org/jira/browse/CHUKWA-306
> Project: Hadoop Chukwa
> Issue Type: Wish
> Reporter: Jiaqi Tan
> Priority: Critical
>
> This is an articulation of a possible alternative use of Chukwa as a
> standalone log analysis pipeline. This would enable users to read in existing
> logs from files, process (Demux) and perform analysis (e.g. current
> SALSA/Mochi toolchain) on them, and visualize them, without requiring the
> user to setup or run any daemons, nor database servers.
> This can be presented as an alternative interface to Chukwa for the user,
> where the main architectural parts (Chunks, post-Demux SequenceFiles of
> ChukwaRecords, post-Demux-processing SequenceFiles of ChukwaRecords, and
> finally time-aggregated database entries for fast visualization) remain
> unchanged, and Chukwa is manifest as a set of files in HDFS. The main value
> that Chukwa then provides to users is 1. centralized one-stop-shop for log
> processing+analysis+anomaly detection, 2. the ability to use MapReduce to
> process logs, regardless of whether they had used Chukwa to collect the logs.
> That way, the ability to process logs and analyze/do diagnosis is not tied to
> having to run the entire Chukwa daemon infrastructure, since many users who
> use Hadoop clusters may not have superuser access to those machines, e.g.
> users at universities using shared clusters.
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