What is elasticsearch

It is very important to follow new trends and understand them. Everything changes extremely fast nowadays, One of these trends is ElasticSearch. We will look at what it is, its main advantages, statistics, and success stories

What is elastic search

ElasticSearch is an open-source, broadly distributable, readily scalable, enterprise-grade search engine based on Lucene and released under the terms of the Apache License.
It was designed to be used in distributed environments by providing flexibility and scalability. 

New version- Elasticsearch 7.14!

Advantages

1- Document-oriented:

It stores the data as structured JSON documents and indexes all fields by default, with a higher performance result.

2- Effective searching mechanism:

ElasticSearch implements a lot of features when it comes to search such as customized splitting text into words, customized stemming, faceted search, full-text search, autocompletion, and instant search.You can find what you are searching for even though you have a spelling mistake.

3- Scalability:

ElasticSearch because it is a distributed system by nature and can easily scale horizontally, providing the ability to extend resources and balance the loading between the nodes in a cluster.

4- RESTful API:

ElasticSearch is API-driven, so actions can be performed using a simple RESTful API.

5- Speed: You can find what you are searching for even though you have a spelling mistake.

6- Data record mechanism: It will stores the data result in efficient way and create different clusters for data storing

7- Distributed approach:
Indices can be divided into shards, with each shard able to have any number of replicas. Routing and rebalancing operations are done automatically when new documents are added. 

Security features:

Elastic Security provides the following security benefits and capabilities:

  • A detection engine to identify attacks and system misconfigurations
  • A workspace for event triage and investigations
  • Interactive visualizations to investigate process relationships
  • Inbuilt case management with automated actions
  • Detection of signatureless attacks with prebuilt machine learning anomaly jobs and detection rules

Important facts:

Docker had a challenge of how to deliver high-performance searching across a continuously growing database without overloading operational resources. The IT department decided to use ElasticSearch to easily find the right container for running distributed applications. Now, ElasticSearch really helps Docker deliver a scalable, seamless, and highly available search and discovery experience to the growing Docker community. 

For more information, Please check the link below
https://www.elastic.co/guide/index.html
Github link: https://github.com/shainkeyaditya/elasticsearchdjango