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
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.