OTeL/Piped Processing Language: Simplifying Observability Queries With Open...- Peng Huo & Ashwin Pc

OTeL/Piped Processing Language: Simplifying Observability Queries With OpenTelemetry Query Semantics - Peng Huo & Ashwin Pc, Amazon Web Services Observability practitioners face a common challenge: complex query syntaxes that impede efficient analysis of logs, metrics, and traces. This talk introduces OpenSearch’s Piped Processing Language (PPL) and its OpenTelemetry Semantics , a powerful yet intuitive query language that transforms how we explore observability data. Through its Unix-like pipe syntax and recent enhancements including lookup, join, and subsearch capabilities, PPL enables seamless correlation across multiple data sources while maintaining alignment with OpenTelemetry semantic conventions. We’ll demonstrate how PPL’s pipeline-oriented approach naturally fits observability workflows, allowing practitioners to incrementally filter, transform, and visualize data during investigations. Through a live demo of a real-world scenario, attendees will learn how PPL simplifies complex observability tasks and enables rapid root-cause analysis in cloud-native environments.