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Labs

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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Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Published
Clock icon Jul 20, 2021

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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.

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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