Elasticsearch is a very versatile platform that supports a variety of use cases and provides great flexibility around data organization. After a global overview on Elastic Stack, understanding Elasticsearch terminologies, and setup Elasticsearch. Today, we will go more in deep with data management inside Elasticsearch. Data categories The data you store in Elasticsearch generally falls into one of two categories:…
After we made a global overview on Elastic Stack and we went more in deep in Elasticsearch terminologies. This third blog in the Elastic Stack series will allow you to know how to set up Elasticsearch, from Downloading, Installing, Configuring, and Starting. Supported platforms At the beginning of any installation you have to check the compatibility matrix from operating systems…
In a previous blog, we got an overview on Elastic Stack (Elasticsearch, Logstash, Kibana, and Beets), in next blogs I will go through all these components to understand them, today we will go more in deep in Elasticsearch the heart of Elastic Stack. To really discover Elasticsearch we need to understand the below concepts and terminologies: Node Is a single…
ELK Stack or more recently called Elastic Stack, is a combination of three open-source projects: Elasticsearch, Logstash and Kibana. All these projects have been developed by Elastic and used to store, analyze, discover, and visualize data efficiently! I got the chance to install, configure and maintain Elastic Stack on Kubernetes since more than two years. Today, I would like to…
When it comes to centralizing logs of various sources (operating systems, databases, webservers, etc.) the ELK stack is becoming more and more popular in the open source world. ELK stands for Elasticsearch, Logstash and Kibana. Elasticsearch is based on Apache Lucene and the primary goal is to provide distributed search and analytic functions. Logstash is responsible to collect logs from…
