Kibana Dashboards: Build Real-Time Visualisations with Elasticsearch

Building dashboards is no longer a task reserved for data analysts. With the rise of distributed systems and the growing need for real-time insights, solutions like Elasticsearch and Kibana have become central to how organizations monitor operations, detect anomalies, and drive decisions across departments.

In this article, we’ll explore how to start building dashboards with Elasticsearch and Kibana, from ingesting and structuring data to creating powerful visualizations and alerts.

Key Takeaways

• Elasticsearch stores and indexes the data, while Kibana turns it into interactive dashboards.
• Good dashboards start with a clean ingestion pipeline, using Beats, Logstash, Elastic Agent or ingest pipelines.
• Consistent field names, @timestamp fields and normalised values make visualisations much easier to build.
• Kibana offers Lens, TSVB, Maps and Canvas, plus filters and Spaces to organise dashboards by team.
• Common uses include security monitoring (SIEM), infrastructure and application monitoring and business KPIs.

Building dashboards with Elasticsearch and Kibana: the perfect combination

Elasticsearch, a powerful distributed search and analytics engine, indexes large volumes of data with speed and precision. Kibana, its companion UI, brings that data to life through rich, interactive visualizations.

This combination is at the heart of the Elastic Stack (formerly ELK Stack), and it's used by engineering, operations, security, and business teams alike for:

• Monitoring applications and infrastructure

• Detecting anomalies and threats

• Tracking KPIs and business metrics

• Enabling observability and compliance

Together, they form a scalable, open-source alternative to traditional BI and APM platforms.

Related article: Log Monitoring For Security A Comprehensive Guide

Ingesting and structuring data for visualization

Dashboards are only as good as the data behind them. That’s why designing an effective pipeline to ingest and structure data is critical.

Data ingestion options:

• Beats: Lightweight data shippers for logs (Filebeat), metrics (Metricbeat), network traffic (Packetbeat), etc.

• Logstash: Customizable ETL tool that transforms and routes data into Elasticsearch

• Elastic Agent: Unified solution for logs, metrics, and security data

• Ingest Nodes: Elasticsearch-native processing pipelines for parsing, enrichment, and routing

Best practices for data modeling:

• Use consistent field names and types

• Flatten deeply nested structures when possible

• Add @timestamp fields for time-based analysis

• Normalize key fields like status codes, hostnames, and log levels

Creating dashboards in Kibana: step-by-step

Once your data is indexed and structured, Kibana makes it easy to build dashboards that are both informative and visually compelling.

Main visualization types:

• Lens: Drag-and-drop builder for charts and graphs

• TSVB (Time Series Visual Builder): Time-series visualizations with math and pipeline aggregations

• Maps: Geographic visualization for IPs, geo data, etc.

• Canvas: Custom visual storytelling with flexible layout and branding

• Markdown & Controls: Add interactivity and documentation to your dashboards

Building your dashboard:

1. Define your use case (e.g., system health, sales KPIs, threat monitoring)

2. Select relevant index patterns and time filters

3. Choose visualizations (bar, pie, line, gauge, etc.)

4. Arrange components in a clean, readable layout

5. Save, share, and schedule reports or snapshots

Kibana supports dashboard filtering, cross-panel interactivity, and integration with Spaces to organize content by team or department.

Related article: Enhancing Collaboration And Security In The Modern Workplace

Use cases: from security to business intelligence

Whether you're building a Security Operations Center (SOC) dashboard or monitoring application latency, Kibana adapts to your needs.

Popular use cases include:

• Security monitoring (SIEM): Visualize threat detection rules, login anomalies, failed authentications

• Infrastructure monitoring: CPU usage, disk I/O, memory pressure across systems

• Application performance: Latency, error rates, response times, user behavior

• Business dashboards: Sales per region, marketing campaign performance, product churn rates

Integrations and real-time alerting

Dashboards are even more valuable when paired with automated alerts and third-party integrations.

Alerting features in Kibana:

• Rule-based triggers (threshold, anomaly detection, metric conditions)

• Native integrations with Slack, email, webhook, Jira, and ServiceNow

• Action connectors for chaining events across tools

You can also export dashboard data to external systems (via APIs) or embed visualizations into portals, reporting systems, or custom apps.

Kibana supports Spaces, RBAC, and encryption, making it secure and team-friendly even in complex enterprise environments.

Related article: How IT Managers Waste Resources By Not Automating Operations

How Syone supports your Elastic dashboard journey

As an Elastic certified partner and Open Source Competence Center, Syone helps organizations design, implement and scale their Elasticsearch + Kibana environments.

We offer:

• End-to-end observability solutions using Elastic Stack

• Custom dashboard development tailored to your business goals

• Performance tuning and data modelling best practices

• Alert configuration and cross-tool integration

• Managed services, monitoring, and support

Whether you're modernizing your monitoring stack or implementing dashboards from scratch, Syone delivers the expertise to help you succeed securely and at scale.

Learn more about our Elastic and Kibana services or contact us and speak with one of our observability experts.

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