Hi, you have plenty options. Without any special effort there is ELK. Parse solr logs with logstash, feed elasticsearch with data, then analyze in kibana.
Another option is to send every relevant search request to kafka, then you can do more sophisticated data analytic using kafka-stream API. Then use ELK to feed elasticsearch with logstash kafka input plugin. For this scenario you need to do some programming. I`ve already created this component but I hadn't time to publish it. Another option is use only logstash to feed e.g. graphite database and show results with grafana or combine all these options. You can also monitor SOLR instances by JMX logstash input plugin. Really don't understand what do you mean by saying that there is nothing satisfactory. m. On štvrtok, 26. apríla 2018 22:23:30 CEST Doug Turnbull wrote: > Honestly I haven’t seen anything satisfactory (yet). It’s a huge need in > the open source community > > On Thu, Apr 26, 2018 at 3:38 PM Ennio Bozzetti <ebozze...@thorlabs.com> > wrote: > > > Hello, > > > > I'm setting up SOLR on an internal website for my company and I would like > > to know if anyone can recommend an analytics that I can see what the users > > are searching for? Does the log in SOLR give me that information? > > > > Thank you, > > Ennio Bozzetti > > > > -- > CTO, OpenSource Connections > Author, Relevant Search > http://o19s.com/doug
