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Searching and Filtering Data in Kibana 7.6

There is a lot of value in visualizing data in Kibana but that value quickly reaches a limit unless you can also drill down to access the less obvious characteristics of your data. There are a number of ways to filter your data in Kibana from using the time picker with time-series data, crafting Kibana Query Language (KQL) queries, or just using the filtering mechanisms built in to the user interface. In this hands-on lab, we will explore the various ways to filter data in Kibana so that you can quickly discover the insights buried in your data.

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Lab platform
Lab Info
Level
Intermediate
Last updated
Sep 24, 2025
Duration
1h 0m

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Table of Contents
  1. Challenge

    Create the `logs_1` Saved Search
    1. Navigate to the Discovery tab.
    2. Add the necessary filter(s) and/or Kibana Query Language (KQL) to meet the search criteria for the logs_1 query.
    3. Save the search as logs_1.
  2. Challenge

    Create the `logs_2` Saved Search
    1. Navigate to the Discovery tab.
    2. Add the necessary filter(s) and/or Kibana Query Language (KQL) to meet the search criteria for the logs_2 query.
    3. Save the search as logs_2.
  3. Challenge

    Create the `logs_3` Saved Search
    1. Navigate to the Discovery tab.
    2. Add the necessary filter(s) and/or Kibana Query Language (KQL) to meet the search criteria for the logs_3 query.
    3. Save the search as logs_3.
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