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The AI observability race will be won on interoperability
Standardizing AI observability through OpenTelemetry helps teams move beyond token counting to measure cost per business outcome.
What: Greg Leffler (Splunk) argues that AI observability should leverage OpenTelemetry's shared conventions to capture and compare agent behavior across models and providers to manage risk and quality.
Why it matters: As AI stacks diversify, companies are realizing that vendor-specific telemetry locks them into expensive, non-comparable environments, driving a need for vendor-neutral standards like OpenTelemetry.
Decoder
- Telemetry: Automated communications processes by which measurements and other data are collected at remote or inaccessible points and transmitted to receiving equipment for monitoring.
- OpenTelemetry: An open-source observability framework for cloud-native software that provides a standardized set of APIs and tools for collecting telemetry data.
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