Big Data Analysis With The Elastic Stack

3 years ago logit.io

Summary: This is a summary of an article originally published by the source. Read the full original article here →

As a leading https://logit.io/product/log-management, one of our highest priorities is to allow clients to browse the log data they collect so that they can ensure that the data points are consistent and contain all the attributes required to generate the dashboards and reports they need. The ELK stack is the perfect tool for the job, and combines ElasticSearch, logstash and Kibana 4 to store and visualise huge amount of data in seconds. Let's take a look at the three components behind the ELK stack: ElasticSearch This is a "schema-less" database, which is easy to scale horizontally and has powerful search capabilities.

This is a web-based dashboarding and data analysis tool that leverages ElasticSearch's search capabilities so you can visualise your data in seconds.

DevOps Articles