Hi, I was wondering how people are using decanter as a metrics platform? In particular using Elastic Search to store metrics. I had previously thought that ES wasn't deemed suitable for time-series data, but I recently read up on aggregations and how to use them in Kibana, and it seems that ES + Kibana via Decanter would be a reasonable, all-java, way of doing metrics.
My concern however is how to handle data volume. Running a pair of basic collectors (camel and activemq) overnight, with the default scheduler settings, seems to produce quite a bit of data (over 1GB for ~1M documents). Whilst consumer disk storage is quite cheap, it will be difficult for me to justify huge amounts of enterprise storage at $work for what is often seen as a "nice to have" feature. Ideally I would like to mimic the storage aggregation feature of Graphite which aggregates the metrics into ever coarser blocks over time. My googling so far hasn't yielded any pre-made solutions, and I suspect I may have to roll my own, but I wanted to ask how others are dealing with this, if indeed it's deemed to be also a problem elsewhere. Cheers, Gary -- View this message in context: http://karaf.922171.n3.nabble.com/Decanter-handling-metric-data-volumes-tp4043063.html Sent from the Karaf - User mailing list archive at Nabble.com.