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Learn how to process 300 billion distributed tracing spans per day using Apache Flink in this 38-minute conference talk from StreamNative's Data Streaming Summit. Discover the architectural decisions, scaling lessons, and operational insights from Salesforce's Monitoring Cloud Telemetry Tracer team as they demonstrate how to construct accurate, real-time service dependency maps across hundreds of microservices. Explore techniques for processing and correlating massive volumes of spans in real time, designing robust stateful streaming pipelines for telemetry data, and handling out-of-order events with massive fan-out scenarios. Master advanced partitioning and state management strategies for high-throughput workloads while maintaining performance and reliability in mission-critical observability systems. Gain practical knowledge from speakers Amrit Sarkar (Lead Member of Technical Staff, Salesforce) and Vineet Khadloya (SMTS, Salesforce) on pushing Apache Flink to its real-time processing limits for large-scale telemetry, tracing, and observability pipeline implementations.
