elasticsearch monitoring

We set up a Web site or application and want to add search capabilities, so we're hit by: Search is hard. We want our search solution to be fast, we want to have a 0 configuration and a completely free search pattern, we want to be able to simply use JSON via HTTP indexed data, we want our search server always available, we want to be able to start and expand to hundreds of, we want to search in real time, We want simple multi-tenant and we want to build a cloud solution.

Elasticsearch Introduction Elasticsearch is a full-text search server that can also be used as a NoSQL database to store documents and data in any format, while at the same time doing big data analysis. Elasticsearch has the following characteristics: 1. Full-text search engine, ES is a resume on the lucebe of the Kaiyuan Soso engine, can be used for full-text se

After the initial completion of the Kubernetes cluster architecture, by building some monitoring components, we have been able to achieve Graphical monitoring of status information and resource conditions for each node,pod Scaling and scaling of replicateset through scale View the run log for each pod by kubectl logs or dashboard However, the scale of the nodes in the distributed archi

Kibana + Logstash + Elasticsearch Log Query System, kibanalogash. Kibana + Logstash + Elasticsearch log query system. kibanalostash builds the platform to facilitate log query during O M and R D. Kibana is a free web shell; Kibana + Logstash + Elasticsearch Log Query System, kibanalogash The purpose of this platform is to facilitate log query during O M and R

First, download and install Elasticsearch relies on Java, the first to install ES before installing the Java, which is the default of our computer has been completed. Elasticsearch requires a minimum JDK version of 1.7.First download the installation package from Elasticsearch official website, we are Linux system, download the TAR package is more convenient. Th

Elasticsearch is a new member of the open source search platform, the real-time data analysis artifact, developed rapidly, based on Lucene, RESTful, distributed, cloud-oriented design, real-time search, full-text search, stability, high reliability, extensible, installation + easy to use, introduction are said to be very pleasant, Good to take out for a walk.Did a simple test, in two identical virtual machines, 20 million or so data,

0x01 Memory Tuning There are several ways to adjust ES memory allocations, and it is recommended that you adjust the settings in/etc/sysconfig/elasticsearch (you can also modify the startup script under bin directly). # Directory where the elasticsearch binary distribution resides Es_home=/usr/share/elasticsearch # Heap Size (defaults to 256m min, 1g max) # Modi