Savors is a visualization framework that supports the ingestion of data streams created by arbitrary command
pipelines. Multiple data streams can be shown synchronized by time in the same or different views, which can be
arranged in any layout. These capabilities combined with a powerful parallelization mechanism and interaction
models already familiar to administrators allows Savors to display complex visualizations of data streamed from
many different systems with minimal effort. This paper presents the design and implementation of Savors and
provides example use cases that illustrate many of the supported visualization types.