As modern applications evolve into complex, distributed ecosystems, traditional observability approaches struggle to keep pace with the scale, speed, and dynamic nature of microservices. AI-powered observability offers a transformative approach, enabling organizations to move beyond manual monitoring and reactive troubleshooting. By leveraging machine learning models, anomaly detection, and intelligent correlation, AI enhances observability pipelines—automating root cause analysis, predicting incidents before they escalate, and optimizing system performance in real-time.

This session explores how AI augments observability by integrating with OpenTelemetry and other telemetry data sources to provide deeper insights, proactive alerts, and automated remediation.

Join us to discover how AI is reshaping observability, making modern systems more resilient, efficient, and intelligent.