# Building Dashboards with OpenObserve: A Comprehensive Tutorial

> A step-by-step tutorial on creating and managing dashboards in OpenObserve. It covers importing dashboards, building custom panels, using SQL and PromQL, and visualizing logs, metrics, and traces for real-time insights.

Source: https://openobserve.ai/webinars-videos/building-dashboards-with-openobserve-a-comprehensive-tutorial/
Published: 2026-01-15
Authors: Simran Kumari
Duration: 25:45 minutes

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A step-by-step tutorial on creating and managing dashboards in OpenObserve. It covers importing dashboards, building custom panels, using SQL and PromQL, and visualizing logs, metrics, and traces for real-time insights.

## What you'll learn

- How to navigate and use the dashboard interface in OpenObserve
- Steps to import and create dashboards from scratch
- Building and customizing panels for specific monitoring needs
- Using SQL and PromQL for querying logs and metrics
- Applying filters, variables, and joins for better data analysis
- Working with logs, metrics, and traces in one platform
- Visualizing data using multiple chart types
- Gaining real-time insights to monitor system performance effectively

This video provides a comprehensive walkthrough of dashboards in OpenObserve, a cloud-native observability tool. It begins with an introduction to the platform and guides users through navigating the dashboards interface. The tutorial demonstrates how to import existing dashboards and create new ones from scratch, followed by building custom panels tailored to specific monitoring needs.

It further explores data analysis using SQL and PromQL, enabling users to query and interpret logs and metrics effectively. Advanced features such as filtering, variables, and joins are explained to enhance dashboard flexibility. The video also covers working with traces and visualizing data through various chart types, helping users gain actionable, real-time insights into their infrastructure. By the end, viewers are equipped to design and deploy their own dashboards efficiently.
