Jan 16
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OpenTelemetry has won the instrumentation wars with 95% adoption predicted—but the real battle is just beginning. Netflix processes over 1 million trace spans per streaming episode. When your observability pipeline handles that scale, you're not just collecting data—you're running a data analytics platform. In this episode, Jordan and Alex break down: - Why 43% of organizations haven't seen cost savings despite OTel adoption - Netflix's evolution from monolithic tracing to high-cardinality analytics with Flink - The "cost-control chokepoint" that OTel enables for telemetry optimization - Agent-first observability: 40% targeting autonomous remediation by end 2026 - How SLOs are becoming business conversations, not just engineering metrics Plus news: GitHub Actions 39% pricing reduction and Jaeger v2.14.0 legacy removal. 📚 Resources: - Netflix Observability Evolution: https://www.infoq.com/presentations/stream-pipeline-observability/ - Can OpenTelemetry Save Observability in 2026?: https://thenewstack.io/can-opentelemetry-save-observability-in-2026/ - APMdigest 2026 Predictions: https://www.apmdigest.com/2026-observability-predictions-1 - Dynatrace 2026 Predictions: https://www.dynatrace.com/news/blog/six-observability-predictions-for-2026/ - Grafana Observability Survey: https://grafana.com/observability-survey/ - Honeycomb AI-Native Observability: https://www.honeycomb.io/blog/honeycomb-introduces-developer-interface-future-with-ai-native-observability-suite 🔗 Full episode with transcript: https://platformengineering.playbook.com/docs/podcasts/00078-observability-opentelemetry-2026 #OpenTelemetry #Observability #PlatformEngineering #DevOps #SRE #Kubernetes #Netflix #Monitoring #APM #CNCF