Cognitive and Self-Adaptive System for Effective Distributed Tracing

Explore a 14-minute lightning talk on cognitive and self-adaptive systems for effective distributed tracing using Jaeger and Open Tracing. Delve into the challenges of current dynamic API tracing systems in distributed environments and microservices architectures. Learn about an innovative Machine Learning and Cognitive approach that addresses the skewed distribution of trace sampling, improving diagnosis of API failures and performance issues. Discover how this adaptive sampling technique revolutionizes issue triaging, reduces Mean Time to Resolve (MTTR) for SRE teams, and optimizes storage requirements and resource utilization. Gain insights into the future of observability and infrastructure management through this forward-looking solution presented by independent expert Susobhit Panigrahi at a Linux Foundation event.