I wrote something related to this topic a while ago. https://www.google.com/amp/s/blog.anant.us/resources-for-monitoring-datastax-cassandra-spark-solr-performance/amp/
Rahul On Aug 16, 2018, 3:35 PM -0700, Jan Høydahl <jan....@cominvent.com>, wrote: > Check out the Reference Guide chapter on monitoring with open source > Prometheus and Grafana. > https://lucene.apache.org/solr/guide/7_4/monitoring-solr-with-prometheus-and-grafana.html > > <https://lucene.apache.org/solr/guide/7_4/monitoring-solr-with-prometheus-and-grafana.html> > > You'll get a nice dashboard with key metrics and be able to tweak thresholds, > alerts etc. > Note that Solr now has a rich REST based metrics API so you don't need JMX > anymore. > Also, solr has now got some Metrics History capabilities built-in, see > https://lucene.apache.org/solr/guide/7_4/metrics-history.html > <https://lucene.apache.org/solr/guide/7_4/metrics-history.html> > > -- > Jan Høydahl, search solution architect > Cominvent AS - www.cominvent.com > > > 16. aug. 2018 kl. 17:24 skrev Greenhorn Techie <greenhorntec...@gmail.com>: > > > > Hi, > > > > Solr provides numerous JMX metrics for monitoring the health of the > > cluster. We are setting up a SolrCloud cluster and hence wondering what are > > the important parameters / metrics to look into, to ascertain that the > > cluster health is good. Obvious things comes to my mind are CPU utilisation > > and memory utilisation. > > > > However, wondering what are the other parameters to look into from the > > health of the cluster? Are there any best practices? > > > > Thanks >
