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Building (Open Source) Custom Dashboards Is Harder Than You Think

A technical deep dive into the core abstractions and architecture

In this post, I’ll take you behind the scenes: from our product thinking to the technical implementation, testing, and rollout—and share the lessons we learned in building flexible, real-time insights into your LLM pipelines. Given that we had already covered a lot of ground within those dashboards, seeing them run well and scale effectively even across longer time horizons gave us the confidence that we were on the right track and could proceed to build the remaining features. I have seen in the past, with many companies, that the replication of things across dashboards either led to a lack of maintenance where items would get out of date or where a misunderstanding of the metric created multiple widgets with separate meaning.

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