What is Kibana?
Turkish: Kibana
Kibana is the visual component of the ELK Stack for visualizing and analyzing log and metric data stored in Elasticsearch.
What is Kibana?
Kibana is the Elastic Stack interface used to search, filter, and visualize logs, metrics, and event data stored in Elasticsearch. It turns raw log records into charts, tables, maps, and dashboards so operations teams can understand system behavior faster.
In Kibana, data is selected through an index pattern or data view. Users filter records with KQL or Lucene queries, choose a time range, and build visualizations. Application errors, HTTP status codes, response times, user behavior, and infrastructure metrics can be inspected from the same workspace. Alerting can notify teams when thresholds or query results match a defined condition.
Where It Is Used
- Root-cause analysis of production errors through logs
- Tracking API latency, 5xx rates, and traffic spikes
- Investigating security events or suspicious behavior
- Building readable dashboards for product and operations teams
Kibana is only as useful as the data sent into it. If field names, timestamps, correlation IDs, and environment labels are inconsistent, dashboards become unreliable. That is why logging, monitoring, and Elasticsearch design should be planned together.
Related Terms
Elasticsearch is a distributed search engine for fast full-text search, filtering, and analytics over large text and log datasets.
Infrastructure MonitoringInfrastructure monitoring collects metrics from servers, networks, databases, and cloud resources to catch failure signals early.
LoggingLogging is the practice of recording runtime events from applications and systems — critical for debugging and monitoring.
MonitoringMonitoring tracks application and infrastructure metrics, logs, and alerts to detect problems before users or SLAs are affected.