DevOps Classroom Series – 26/Jul/2020

Configuring Kibana

  • Kibana confugrations are stored in /etc/kibana/kibana.yml
  • Configuration settings in Yaml
    • server.port: This specifies on which port kibana receives requests. Defaults to 5601
    • Ip address to which kibana server will bind. defaults to localhost
    • elasticsearch.url: url of elastic search instace to use to create visualizations/query
  • Refer Here for all the settings on kibana.yaml

Lets use Sample data to understand kibana

  • Select Sample data Preview Preview Preview

To experiment with out of box data

  • Download logs from here. These logs are for learning and experimentation purposes
  • Logs are generated by Apache server time period is May 2014 to June 2014.
  • To import these logs into elastic search lets create a logstash configuration
    file {
        path => ["/home/ubuntu/mylogs/logs"]
        start_position => "beginning"
        sincedb_path   => "NULL"
    grok {
        match => {
            "message" => "%{COMBINEDAPACHELOG}"
        convert => { "bytes" => "integer" }
        match => [ "timestamp", "dd/MMM/YYYY:HH:mm:ss Z"]
        locale => en
        remove_field => "timestamp"
    geoip {
        source => "clientip"
    useragent {
        source => "agent"
        target => "useragent"
output {
    stdout {
        codec => dots
    elasticsearch {
        hosts => [""]
  • Now start logstash by using command
./logstash -f dump.conf
  • Now we can check indexes in kibana Preview

User Interaction in Kibana

  • Interactions in kibana is a four step process
    1. Configure/Manage Index
    2. Discover Data
    3. Create Visualizations
    4. Create Dashboards Preview

Configuring/Managing Index

  • This is acheived by configuring index pattern.
  • Two types of Indexes exist in Elastic Search
    1. Time-series index:
      • This index will have all the data which has correlation with timestamp.
    2. Regular index
      • If the index doesn’t contain time stamp & there is no correlation with time, then the data is called as regular data.
  • As a first step we need to create index pattern in which we select a indexes where we want to discover data
  • To create index pattern Refer Here

Preview Preview Preview Preview Preview


  • The Discover page helps you to interactively explore data. It allows to perform search queries, filter search results, view document data Preview
  • Query data: The Query bar accepts 3 kinds of queries
    1. Elastic search query string/Lucene query
    2. A full json-based Elastic query DSL Refer Here
    3. Kibana Query Language Refer Here


  • Thi page helps to create visualization in the form of graphs, charts and tables.


  • Dashboards help you bring different visualizations into a single page & share this dashboard across websites/monitors.

Practical Implementation

  • I have 3 servers with mysql, apache & tomcat installed
  • I have elastic stack up & running Preview
  • So lets install filebeats and send logs to elastic stack directly

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