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Kibana

📊Kibana

NEW

An open-source visualization and dashboard application for Elasticsearch data within the Elastic Stack.

DESCRIPTION

Kibana provides interactive dashboards, visualizations, and search interfaces for data stored in Elasticsearch. It supports log analytics, security investigation, and observability workflows with features like Kibana Lens, Canvas, and Discover. Users build charts, maps, and timelines, and share insights via spaces and saved objects. Kibana integrates with Logstash and Beats to power end-to-end ingestion and analysis. It’s widely used for monitoring, SIEM, and operational analytics.

ALTERNATIVE DEFINITIONS

Elastic

Kibana is your window into the Elastic Stack — visualize your Elasticsearch data and navigate the Elastic Stack.

Marketing definition emphasizing visualization and navigation of Elastic Stack data.

Source

Wikipedia

Kibana is an open-source data visualization dashboard for Elasticsearch.

Concise description focusing on open-source dashboarding over Elasticsearch.

Source

Elastic Documentation

Use Kibana to visualize your data and navigate the Elastic Stack.

Documentation emphasizes visualization functions and Stack navigation.

Source

Elasticsearch ELK Stack Logstash Beats Observability Time-series Visualization Saved Searches Lens

COMPETING TERMS

Grafana OpenSearch Dashboards

KNOWLEDGE AREAS

Observability & Telemetry Data Visualization Platform & Tooling

TARGET AUDIENCE

DevOps Engineer Software Developer Data Engineer BI Specialist Cybersecurity Engineer Security Architect

EXTERNAL SOURCES

TOP QUESTIONS

What data sources does Kibana support?

Kibana natively supports Elasticsearch; many data sources are ingested via Beats and Logstash into Elasticsearch.

Category: Overview

How do Kibana and Grafana differ?

Kibana is tailored to Elasticsearch with integrated search; Grafana is multi-source focused, strong in time-series monitoring.

Category: Alternatives

What is Kibana Lens in Kibana?

Lens is a user-friendly interface to build visualizations by dragging fields and recommending chart types.

Category: Overview

What are common mistakes using Kibana?

Poor index-pattern management, insufficient data retention, and oversized dashboards can degrade performance and usability.

Category: Mistakes

How is Kibana used in observability?

It visualizes logs, metrics, and traces, enabling correlation and alerting when integrated with Elastic Observability features.

Category: Example

What is the risk of unsecured Kibana deployments?

Exposed dashboards can leak sensitive data; enforce authentication, RBAC, and TLS.

Category: Risks

How to manage spaces and saved objects in Kibana?

Use spaces to isolate tenants; export/import saved objects for consistency across environments.

Category: Management

What’s hot around Kibana today?

Integration with Elastic’s unified observability and security (SIEM) solutions, plus Lens enhancements for ease of analysis.

Category: Topic

Where to start learning Kibana?

Follow Elastic’s introductory guides, then build dashboards from sample or ingested data using Discover and Lens.

Category: Example