How we Built Scalable & Customizable Dashboards

Langfuse has introduced customizable dashboards, a much-requested feature that enhances the ability to visualize LLM usage directly within its UI, allowing users to track metrics such as latency trends, user feedback, and cost-performance correlation. These dashboards can be tailored to different user needs, such as product managers or developers, by offering multiple dashboards and a variety of charts and insights. The development process involved creating a flexible query engine, using ClickHouse for efficient query execution, and ensuring the dashboards are decoupled from the data model to allow adaptability. The architecture includes a virtual data model and a custom query builder, which facilitate the creation of flexible and responsive dashboards. The feature was initially launched as a beta on the cloud platform to allow for modifications before its release for self-hosted users, and it received feedback leading to additional features such as resizable widgets and more chart components. Langfuse also plans to offer managed dashboards and additional chart types, with ongoing improvements based on user feedback. The company is actively engaging with the community on platforms like Discord and is hiring for its Berlin office to tackle similar challenges.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.