Installing Elastic Search 7.14 with docker

Welcome to the ultimate guide on Elastic Search and Kibana! If you're looking for a powerful, open-source tool that can help you search, analyze, and visualize your data like never before, then look no further. In this comprehensive guide, we'll take you through everything you need to know about Elastic Search and Kibana - from what they are and how they work together to their installation with Docker. Whether you're a developer or just getting started with these tools, get ready to learn everything there is to know about using Elastic Search and Kibana with Docker in this exciting blog post!

Introduction to Elasticsearch and Kibana

Elasticsearch is a powerful open source search and analytics engine that makes data easy to explore. Kibana is an open source data visualization platform that allows you to interact with your data through beautiful visualizations. In this guide, we'll show you how to use Docker to install and run Elasticsearch and Kibana on your local machine.

What is Elastic Search?

Elastic Search is a powerful, open source, distributed search and analytics engine. It is built on top of the Apache Lucene search library and supports full text search, as well as structured data search with SQL-like query syntax. Elastic Search can be used to power search for websites, applications, and enterprise search solutions. It is also commonly used for log analysis, monitoring, and security analytics.

What is Kibana?

Kibana is an open source data visualization plugin for the Elasticsearch stack. It provides a rich set of tools to help you visualize and explore your data in Elasticsearch. Kibana is a great way to get started with visualizing your data in Elasticsearch.

How to Install Elastic Search and Kibana with Docker

version: '2.2'
services:
  node01:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.14.1
    container_name: node01
    environment:
      - node.name=node01
      - cluster.name=es-my-cluster
      - discovery.type=single-node
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits:
      memlock:
        soft: -1
        hard: -1
    volumes:
      - data01:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
    networks:
      - elastic
  kib01test:
    image: docker.elastic.co/kibana/kibana:7.14.1
    container_name : kib01test
    environment:
      - ELASTICSEARCH_HOSTS=http://node01:9200
    ports:
      - 5601:5601
    networks: 
      - elastic

volumes:
  data01:
    driver: local

networks:
  elastic:
    driver: bridge