How Mezmo Achieves 90% Cost Reduction in AI-Driven Observability | Tucker Callaway

Description

What if you could solve incidents in five minutes without training a single AI model? Tucker Callaway, CEO of Mezmo, reveals how context engineering is disrupting traditional AI approaches to observability. Instead of training models on your data, Mezmo pre-processes and vectorizes telemetry data offline, achieving 90% cost savings and dramatically faster, more accurate incident diagnosis. At KubeCon Atlanta, Tucker discusses the shift to "headless observability," where dashboards disappear and agentic systems handle detection, diagnosis, and remediation automatically. Learn why focusing on trust in diagnosis is the key to unlocking automated remediation, and how Mezmo is rolling out AI-driven observability to 3,500 users at no additional cost. Visit Mezmo at mezmo.com Read the full story at www.tfir.io #AI #Observability #SRE #Kubernetes #CloudNative #ArtificialIntelligence #DevOps #KubeCon #Mezmo #ContextEngineering