Ray Observability 2.0 - Debugging Applications with New Tooling

Explore new observability tools in Ray and Anyscale for debugging large-scale machine learning workloads in this 30-minute conference talk. Learn how to effectively troubleshoot both offline (preprocessing, training, tuning, inference) and online (serving) ML applications using advanced tooling. Follow along as the speaker demonstrates developing an ML workload and bringing it to production, showcasing the various debugging tools provided by Anyscale and Ray. Gain insights into fundamental observability techniques for beginners and discover advanced functionality for tackling complex errors. By the end, acquire practical knowledge on leveraging these tools to enhance your Ray applications and streamline your ML development process.