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Log monitoring - EFK Stack

EFK - Elasticsearch, Fluentd, and Kibana

  • Elasticsearch is a distributed and scalable search engine, used commonly to sift through large volumes of log data. Its' primary purpose is to store and retrieve logs from fluentd.

  • Fluentd is a log shipper. It is an open-source log collection agent which supports multiple data sources and output formats. It can also forward logs to elasticsearch. Fluentd is a unifying layer between systems that generate and store log data.

  • Kibana is a UI tool for querying, data visualization and dashboards. It is a query engine which allows exploring log data through a web interface, building visualizations for events logs, and is query-specific to filter information for detecting issues. Virtually any type of dashboard can be built using Kibana. Kibana Query Language (KQL) is used for querying elasticsearch data. Here Kibana is used to query index data in elasticsearch.

NOTE: The data retention period of Elasticsearch is 7 days. (This means logs can be accessed only for the past 7 days, including the current day. A curator-cronjob will be run daily to check and delete logs which are older than 7 days).


  • How to Access Kibana Dashboard

  • How to Create Index Pattern

  • How to Discover Kibana Logs

  • How to Import Kibana Dashboards

  • How to View Dashboards

  • How to Query Container Logs using KQL

How to Access Kibana Dashboard

1. Browse the Kibana Dashboard of IFS Remote Solution [Log in to Kibana]

2. Authentication

  • The user must enter the username and password to log in to dashboards. kibana Login

  • The user can extract the username and password from the IFS-Remote file location in their windows machine: ifsroot > config > secrets > kibana_creds file

  • Kibana Home Kibana home

How to Create Index Pattern

  • Navigate to Stack Management under Kibana in Management: (menu > Management > Stack Management) kibana index nav stack management

  • Navigate to Index Patterns under Kibana: (Kibana > Index Pattern) kibana index nav kibana nav index patterns

  • Click the "Create Index Pattern" button. kibana index create index pattern

  • Set Values and Click "Create Index Pattern". kibana index set values

How to Discover Kibana Logs

  • Navigate to Discover from the main menu. kibana discover select from navbar

  • View Records. kibana discover view recods

How to Import Kibana Dashboards

  • Kibana Dashboard Templates are available inside Windows Management Server. (File location: ifsroot\infrastructure\Kibana Dashboards)

  • Navigate to menu > Management > Stack Management kibana import nav stack management

  • Select Saved Objects to import Dashboard. kibana import nav save objects

  • Click the Import button to open the file upload window. kibana import click import

  • Drag and drop .ndjson/.json file into the import section. kibana import drop ndjson file

How to View Dashboards

  • The user can check the saved dashboard by navigating to menu > Dashboard kibana dashboard nav dashboard from navbar

  • Select Dashboard. kibana dashboard select dashboard

  • View the Selected Dashboard. kibana dashboard view dashboard

How to Query Container Logs using KQL

  • Click on Discover in the main menu.

    Kibana Discover Logs

    Kibana Discover Logs

  • Add the following Kibana Query into the search filter text box.

    e.g. kubernetes.container_name: "ifsapp-client"

    Kibana Discover Logs