Custom Dashboards in OpenLIT
Customizable self-hosted dashboards for LLM observability
# Monitor & Report BuilderWhat is Custom Dashboards in OpenLIT?
OpenLIT adds a drag-and-drop Dashboard Builder for full-control LLM observability. Self-hosted & OpenTelemetry-native, works with any SDK. Monitor cost & accuracy in custom, vendor-neutral views—dashboards fully import/export as JSON.
Problem
Users previously relied on fragmented tools for LLM observability, lacking customization and vendor neutrality. Struggling with limited customization and vendor lock-in due to non-integrated solutions.
Solution
A self-hosted dashboard tool enabling users to build custom LLM observability dashboards via a drag-and-drop Dashboard Builder, integrated with OpenTelemetry for vendor-neutral monitoring of cost, accuracy, and performance.
Customers
DevOps and MLOps engineers, developers, and data scientists managing LLM deployments requiring real-time monitoring and cost optimization.
Unique Features
OpenTelemetry-native architecture, self-hosted deployment, JSON import/export for dashboards, and compatibility with any LLM SDK.
User Comments
Simplifies LLM monitoring setup
Highly customizable dashboards
Effective cost-tracking features
Seamless integration with existing tools
Vendor neutrality is a game-changer
Traction
Launched on ProductHunt (April 30, 2024) with 45+ upvotes, open-source GitHub repository with 200+ stars, early adoption by enterprises in AI/ML sectors.
Market Size
The global AI infrastructure market, including observability tools, is projected to reach $309.4 billion by 2030 (Grand View Research, 2023).
