Full-Stack Performance Analytics for Enterprise Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine based on Lucene. It has a full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch was developed in Java and released as open source under an Apache License. Elasticsearch is currently the most popular open source enterprise-class search engine on the market today.
Centerity’s Service Pack for Elasticsearch provides end-to-end performance analytics and process views of Elasticsearch deployments. This Service Pack collects and analyzes all critical Elasticsearch KPIs and can correlate these performance metrics with KPIs from other supporting technologies to do cross-domain impact, trend and root cause analysis reducing operational complexity, MTTR, and OPEX. Centerity’s End User Experience and Business Service Management (BSM) features can provide management with proactive business intelligence and take proactive actions to optimize performance while minimizing disruptions.
The following is a sample set of Elasticsearch metrics that can captured and analyzed with other systemic KPIs to provide real-time and history service levels: Check Nodes, Master Node, Node Disk Percent, Node Shards, Node Stats, Data Nodes, Cluster Shards, Cluster Status – Nodes Shards, Cluster Shard Balance, Shard State Details, Disk Balance, Doc Count, Field data Volume, Index Exists, Replicas, Settings, Shards, Stats and Shard State Details.