Enterprises struggle with their telemetry data because of data overload and limited resources. Most don’t know where to start, what is in the data they collect, and what they should keep. The first step in efficient data management is understanding it via data profiling and determining how to process it. The next step is optimizing data, including controlling the data volume, formatting it, and ensuring that the right data is routed to observability tools. Finally, enterprises must build responsiveness into this system that dynamically adjusts volume or routing if some incident or an event occurs. Tucker Callaway discusses at KubeCon.