Daniel FeldmanDaniel Feldman is a software engineer at Applied Intuition, focused on drive log use cases such as re-simulation and exploration. Before Applied, he led the Infrastructure & Data team and ran the testing program at Starsky Robotics, a self-driving trucking company. Prior to Starsky, he was the Head of Product at a freight brokerage startup.
Powering autonomy with log data: Best practices for log management
Log data is one of the most essential building blocks of autonomous systems development. However, due to the costs and risks involved in real-world testing, autonomy programs must collect and manage their log data effectively. In this presentation, we will discuss the journey of a log file, starting with log collection and exploration to storage and archival. We will also discuss the technical building blocks, ideal workflows, and cost management strategies of an expansive log management process.