Introduction
Elasticsearch is an open-source, RESTful, distributed search and analytics engine built on Apache Lucene. Elasticsearch has quickly become the most popular search engine, and is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases.
Elasticsearch is a highly scalable open-source full-text search and analytics engine. It allows you to store, search, and analyze big volumes of data quickly and in near real time. It is generally used as the underlying engine/technology that powers applications that have complex search features and requirements. The speed and scalability of Elasticsearch and its ability to index many types of content mean that it can be used for various purposes:
- Application search
- Website search
- Enterprise search
- Logging and log analytics
- Infrastructure metrics and container monitoring
- Application performance monitoring
- Geospatial data analysis and visualization
- Security analytics
- Business analytics
Due to the high availability and efficient indexing features, the Elasticsearch cluster is very popular in large, mission-critical IT infrastructures, which require ready and reliable services at all times. In such environments, the non-availability of the cluster or any of its core components, rapid erosion of storage space provided by the storage system, and inconsistencies in I/O load-balancing across disks/LUNs/Aggregate/Volumes can result in short/prolonged delays in the delivery of storage services, which will ultimately slowdown the dependent end-user services. To avoid this, it is imperative to watch out for issues in the operations and usage of the cluster on a regular basis.
eG Enterprise is capable of monitoring clusters out-of-the-box. eG's intelligent agents can instantly detect and promptly alert administrators to issues in the availability, status, and performance of a cluster as a whole and also of individual nodes, exchanges, queues, and hosts in the cluster.
