F5 CSP Big Data Training 2.0 documentation 2.0

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  • Lab 2.1 – Kibana Interface & Search
    • Task 1 - Kibana Interface Explantion
    • Task 2 - Searching Kibana

Site Contents

Contents:

  • Welcome
  • Getting Started
  • Prerequisites
  • Lab Topology
  • Class 1: BIG-IP AVR (BIG-IP Goodness)
  • Class 2: Introduction to ELK Stack (ELK Coolness)
    • Module 1: ELK Stack Build Ubuntu Server
    • Module 2: Kibana and Visualisation
  • HOWTOs: Index

  • Community Training Classes & Labs > F5 CSP Big Data Training > Lab 2.1 – Kibana Interface & Search

Lab 2.1 – Kibana Interface & Search¶

Kibana is the interface to elasticsearch and makes visualisationa and dashboards available. It allows REST API calls for development of additional Cutomer interfaces.

This lab will look at the look and feel of the Kibana interface, and some key navigation hints and tips.

Task 1 - Kibana Interface Explantion¶

This task will focus on explation of the Kibana interface and navigating different aspects of the interface.

interface1

Try changing the following:

  • Time Range
  • Index
  • Dashboards

Note

Take your time to explore each of the interface elements.

Task 2 - Searching Kibana¶

In this task we will use two example search types to see how Kibana uses elasticsearch. These example searches will be the following:

  • Field Search
  • Query Bar

Field Search Field searching is very useful in Kibana and can be used to see types of data and values that elasticsearch is indexing. To conduct field searching conduct the following:

  1. Click on a field
  2. Examine the expanded field, note the values that elasticsearch is indexing

search1

  1. Click the add button.
  2. Notice the field is in the Selected Field section.

search2

Note

Take time to explore multiple field add to Selected field and build up a set of interesting columns.

Query Bar This type if searching is searching all data fields not only Selected fields as we did previously.

search3

Note

Take time to explore multiple field add to Selected field and use Query terms to see the results.

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