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Is Your Stack Ready for AI Observability | Chris Aniszczyk, CNCF
Modern observability is consolidating around a single open standard, and every major vendor, cloud provider, and enterprise stack is aligning to it. For teams still running fragmented or homegrown instrumentation, the window to modernize is narrowing fast.
In this exclusive interview with Swapnil Bhartiya at TFiR, Chris Aniszczyk, CTO at CNCF, explains why OpenTelemetry has reached the same inflection point Kubernetes hit years ago, and what that means for teams making observability decisions today.
Key Topics Covered:
- Why OpenTelemetry is now the number two project in CNCF by contribution velocity, behind only Kubernetes, and ranks top 20-30 globally
- How OTEL gives enterprises vendor optionality across Datadog, Grafana, Honeycomb, and others without full re-instrumentation
- How regulated industries with homegrown observability stacks are using OTEL as a modernization pathway
- Why AI workloads do not require a new observability pillar, and how projects like OpenLLMetry and Open Inference are extending OTEL for inference metadata, model tracking, and agent traceability
- What to expect from the OTEL community over the next six to twelve months as AI workload support moves upstream
Read the full story and transcript at www.tfir.io
#OpenTelemetry #OTEL #CNCF #Observability #CloudNative #AIObservability #OpenSource #Kubernetes #PlatformEngineering #DevOps #Monitoring #Tracing #AIInfrastructure #OpenLLMetry #OpenInference
Видео Is Your Stack Ready for AI Observability | Chris Aniszczyk, CNCF канала TFiR
In this exclusive interview with Swapnil Bhartiya at TFiR, Chris Aniszczyk, CTO at CNCF, explains why OpenTelemetry has reached the same inflection point Kubernetes hit years ago, and what that means for teams making observability decisions today.
Key Topics Covered:
- Why OpenTelemetry is now the number two project in CNCF by contribution velocity, behind only Kubernetes, and ranks top 20-30 globally
- How OTEL gives enterprises vendor optionality across Datadog, Grafana, Honeycomb, and others without full re-instrumentation
- How regulated industries with homegrown observability stacks are using OTEL as a modernization pathway
- Why AI workloads do not require a new observability pillar, and how projects like OpenLLMetry and Open Inference are extending OTEL for inference metadata, model tracking, and agent traceability
- What to expect from the OTEL community over the next six to twelve months as AI workload support moves upstream
Read the full story and transcript at www.tfir.io
#OpenTelemetry #OTEL #CNCF #Observability #CloudNative #AIObservability #OpenSource #Kubernetes #PlatformEngineering #DevOps #Monitoring #Tracing #AIInfrastructure #OpenLLMetry #OpenInference
Видео Is Your Stack Ready for AI Observability | Chris Aniszczyk, CNCF канала TFiR
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5 июня 2026 г. 18:13:17
00:04:57
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