Kibana

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Kibana Skill Overview

Welcome to the Kibana Skill page. You can use this skill
template as is or customize it to fit your needs and environment.

Category:

Description

Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases. It offers intuitive charts and reports that you can use to interactively navigate through large amounts of log data. You can set up dashboards that provide at-a-glance visualizations of key metrics and trends. With Kibana, you can perform advanced data analysis and adjust your queries in real-time. It's part of the Elastic Stack (formerly known as ELK Stack), which includes Elasticsearch for search, Logstash for centralized logging and Beats for data collection. Kibana makes it easy to understand large volumes of data, and its simple, browser-based interface enables you to quickly create and share dynamic dashboards.

Stack

ELK,

Expected Behaviors

Fundamental Awareness
At the fundamental awareness level, individuals should understand what Kibana is and its purpose. They should be familiar with basic Kibana concepts and have an awareness of Kibana's role in the ELK Stack. This level is about gaining a basic understanding and knowledge of the tool.
Novice
Novices should be able to install and set up Kibana, navigate the interface, and create simple visualizations. They should understand Kibana index patterns and be able to perform basic data exploration using the Discover feature. At this stage, users are starting to apply their knowledge practically.
Intermediate
Intermediate users should be capable of creating complex visualizations, using Kibana Query Language (KQL), setting up dashboards, and working with Kibana Lens and time series visual builder. They should also be able to configure Kibana Spaces for different user groups. This level involves more advanced usage and customization.
Advanced
Advanced users should be proficient in performing advanced data analysis using Kibana, implementing machine learning features, securing Kibana with X-Pack security, monitoring and troubleshooting Kibana, optimizing performance, and integrating Kibana with other tools and services. This level requires deep understanding and expertise in managing and optimizing Kibana.
Expert
Experts should be able to design and implement custom Kibana plugins, use ElasticSearch with Kibana at an advanced level, perform root cause analysis with Kibana, develop advanced data visualization strategies, master Kibana's API for automation and integration purposes, and lead and manage large-scale Kibana deployments. This level represents mastery and leadership in Kibana usage.

Micro Skills

Fundamental Awareness9 micro skills • 1 months work experience

Recognizing Kibana as a data visualization tool

Identifying the types of data Kibana can handle

Understanding how Kibana fits into data analysis workflows

Knowing the difference between visualizations and dashboards

Understanding the concept of an index pattern

Recognizing the role of Elasticsearch in Kibana

Understanding the components of the ELK Stack (Elasticsearch, Logstash, Kibana)

Recognizing how Kibana interacts with Elasticsearch and Logstash

Identifying use cases for the ELK Stack

Novice19 micro skills • 3 months work experience

Downloading the correct version of Kibana

Configuring Kibana with Elasticsearch

Starting and stopping Kibana service

Troubleshooting common installation issues

Understanding Kibana's main menu

Using the search bar

Accessing different features through the side navigation

Customizing the interface settings

Choosing the right visualization type

Configuring the data source for visualization

Customizing visualization appearance

Saving and sharing visualizations

Creating an index pattern

Managing existing index patterns

Understanding the role of index patterns in data visualization

Searching for specific data

Filtering and sorting data

Saving and exporting search results

Understanding the relationship between data fields

Intermediate25 micro skills • 6 months work experience

Understanding different visualization types

Applying filters and aggregations

Using advanced settings for visualizations

Creating multi-series visualizations

Working with geo data

Writing basic KQL queries

Using KQL operators and functions

Combining multiple KQL queries

Saving and loading KQL queries

Adding visualizations to dashboards

Arranging and resizing dashboard elements

Sharing and exporting dashboards

Configuring dashboard refresh intervals

Creating visualizations with Lens

Changing visualization types in Lens

Working with multiple layers in Lens

Using Lens to create tables

Creating time series visualizations

Configuring axes and series

Adding annotations to time series visualizations

Using mathematical aggregations

Creating and managing Spaces

Assigning users to Spaces

Customizing features per Space

Importing and exporting objects between Spaces

Advanced24 micro skills • 12 months work experience

Applying advanced filters and queries

Using advanced aggregation types

Performing correlation analysis

Creating and interpreting heat maps

Setting up anomaly detection jobs

Configuring machine learning modules

Interpreting machine learning results

Integrating machine learning with dashboards

Configuring role-based access control

Setting up authentication providers

Implementing field and document level security

Enabling audit logging

Using Kibana's monitoring app

Interpreting Kibana logs

Troubleshooting common Kibana issues

Optimizing Kibana for better performance

Tuning Elasticsearch for Kibana

Optimizing dashboard loading times

Managing Kibana's memory usage

Scaling Kibana for large datasets

Integrating Kibana with Logstash and Beats

Embedding Kibana visualizations in external applications

Connecting Kibana to third-party APIs

Automating tasks with Kibana's API

Expert25 micro skills • 24 months work experience

Understanding Kibana plugin architecture

Creating a basic Kibana plugin

Adding advanced features to Kibana plugins

Testing and debugging Kibana plugins

Deploying and maintaining Kibana plugins

Mastering ElasticSearch query DSL

Optimizing ElasticSearch for Kibana

Implementing advanced search strategies with ElasticSearch and Kibana

Troubleshooting complex ElasticSearch issues within Kibana

Using Kibana visualizations for root cause analysis

Applying machine learning features for anomaly detection

Interpreting Kibana logs for root cause analysis

Correlating events across multiple data sources in Kibana

Designing complex data visualizations

Implementing interactive dashboards

Using advanced features of Kibana Lens

Optimizing visualizations for performance

Understanding Kibana's REST API

Automating tasks using Kibana's API

Integrating Kibana with other services using the API

Securing Kibana's API

Planning and designing large-scale Kibana deployments

Managing Kibana clusters

Monitoring and optimizing Kibana performance at scale

Implementing security best practices for large-scale Kibana deployments

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