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SearchStax Cloud / Four Critical Metrics for Solr Health Check
If you use Apache Solr for your website or application, you know that it is important to monitor the Solr health of your deployment in order to ensure that your system is running smoothly. To optimize Solr server performance, you need to monitor the right metrics for Solr health that will deliver insights into Solr implementation and quickly identify when things are getting out of whack.
A Solr monitoring system enables you to gather and analyze statistics, and visualize metrics, events, logs, and traces in real time. The screenshots in this blog post come from the Monitoring feature of SearchStax Cloud. The Monitoring features allows users to monitor the health of a Solr deployment using real-time and historical statistical graphs of critical Solr server and JVM metrics. For increased flexibility, you can also define the time frame and frequency of the performance graphs.
In our recommendations, we explain why these four metrics are critical for monitoring the health of your Solr deployment:
Apache Solr is an open-source search platform that is used to build search applications. It is built on top of the Apache Lucene search library, which is a high-performance, full-featured text search engine written in Java. Solr provides additional features and functionalities that make it easier to set up and manage search applications.
SearchStax offers two solutions around Solr.
SearchStax Cloud is a fully-managed SaaS solution that automates, manages, maintains and scales Solr search infrastructure in public or private clouds.
If your Solr system has low performance, out-of-memory errors, or frequent issues with replicas falling into recovery mode, then be sure to check out these useful blog posts from SearchStax:
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