Michal, Doug was referring to an open source solution ready out of the box and just pluggable ( a sort of plug and play). Of course you can implement your own solution and using ELK or kafka is absolutely a valid option.
Cheers -------------------------- Alessandro Benedetti Search Consultant, R&D Software Engineer, Director www.sease.io On Fri, Apr 27, 2018 at 10:21 AM, Michal Hlavac <m...@hlavki.eu> wrote: > 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 > > >
