ELK=elasticsearch+Logstash+kibana JCS for Elasticsearch: Background distributed storage and full-text retrieval. logstash: Log processing, “porter”. kibana: Data visualization display. ELK architecture creates a powerful management chain for data distributed storage, visual query and log resolution. The three cooperate with each other and complement each other to complete distributed big data processing work.
Lucene is a set of open source program library for full-text retrieval and search, supported and provided by Apache Software Foundation. Lucene provides a simple yet powerful application program API for full-text indexing and searching. Lucene's goal is to provide software developers with an easy-to-use toolkit for easy full-text retrieval in the target system, or to build a complete full-text search engine based on this.
JCS for Elasticsearch is a distributed, scalable, real-time search and data analysis engine that supports multi-condition retrieval, statistics and statement of structured and unstructured text. It is based on the full-text search engine library Apache Lucene and provides a set of simple RestfulAPI, which supports a variety of structured or unstructured data storage and query. With a comprehensive monitoring system and integrated data visualization tool kibana, users can be more focused on the realization of business logic.
JCS for Elasticsearch search engine currently supports Elasticsearch version 5.6.9.
The health status is a very important monitoring item of the JCS for Elasticsearch cluster, which is used to indicate whether the cluster is working normally generally. The types of health statuses are as follows: