You built a Datadog alternative. Now scale it.

A new Logs Explorer template has been launched, capable of handling trillions of logs with sub-second refresh times. The system uses materialized views and conditional templates to optimize performance and scale. Key improvements include pre-aggregating data for faster filtering, optimizing time series charts, and implementing efficient pagination. The template also emphasizes smart interaction design to manage scale effectively. Users can deploy the template or fork the repository to build their own custom logs explorer for internal or public-facing applications.