Elastic-search, Logstash, and Kibana is know as ELK stack.

This ELK stack is opensource stack, where E stands for Elastic serach, Llogstash and K stands for Kibana.

Below diagram will explain show this stack is used in organization, with the help of logstash we can collect the data of any application put into elastic search and via elastic search same can be visualized at kibana desk board.

I hope from above diagram give you the better understanding how it work so let deep drive how to configure this stack, so that it will be help full to understand.

Before continue to this post (Let me thanks my friends or team member who explain me this in such a way I can configure this couple of hours at my server.) So let me share how I configure

Elastic Search Configuration:

Elastic Search:

  1. Install elastic search:-

Download package from https://www.elastic.co/downloads/elasticsearch

If you want to run from anywhere in that case set the path in .bash_profile.

{ “name” : “MTe5Nrz”, “cluster_name” : “elasticsearch”, “cluster_uuid” : “1y_jQvBgS-SuB89nsSiyfw”, “version” : { “number” : “6.6.0”, “build_flavor” : “default”, “build_type” : “tar”, “build_hash” : “a9861f4”, “build_date” : “2019-01-24T11:27:09.439740Z”, “build_snapshot” : false, “lucene_version” : “7.6.0”, “minimum_wire_compatibility_version” : “5.6.0”, “minimum_index_compatibility_version” : “5.0.0” }, “tagline” : “You Know, for Search”}

epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent1549473193 17:13:13 elasticsearch green 1 1 0 0 0 0 0 0 – 100.0%shaktidevops@instance-4:~

{“error”:”Incorrect HTTP method for uri [/_cat/node?v] and method [GET], allowed: [POST]”,”status”:405}shaktidevops@instance-4:~$ curl http://localhost:9200/_cat/nodes?vip heap.percent ram.percent cpu load_1m load_5m load_15m node.role master name127.0.0.1 10 49 1 0.00 0.00 0.00 mdi * MTe5Nrz

Elastic Search CURD operation please refer :

https://www.mysoftkey.com/category/nosql/elastic-search/

EKL is used to analysis in blow use case:-

  1. Fraud Detection
  2. Security Analysis
  3. Compliance
  4. E-commerce applicaiton for personalizatin of user events.
  5. Rist Management System

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