WEBINAR

Agentic Observability

How AI Is Reshaping Operations, Priorities, and the Future of Observability

As AI reshapes the technology landscape, observability is undergoing a fundamental transformation. Traditional monitoring is no longer sufficient as modern applications increasingly rely on AI models, agents, and orchestration layers that behave in complex, non-deterministic ways. Agentic Observability emerges as the next evolution, combining AI-driven operational assistance, deep visibility into AI-powered systems, and a clear connection between telemetry and business outcomes.

Join us and explore the three core pillars of agentic observability:

• Fix & Prevent with AI Agents: How AI reduces manual toil by recommending instrumentation, detecting anomalies early, assembling rich context, and taking first actions with human oversight—freeing engineers to focus on creative problem-solving.
• Observe AI Agents and the AI Stack: Understanding the full AI infrastructure including GPUs, models, vector stores, and agent frameworks, while monitoring quality, safety, cost, and agent behavior beyond traditional health metrics.
• Connect Signals to Business Impact: Prioritizing observability based on business outcomes by modeling critical user journeys, segmenting affected users, and correlating cross-domain telemetry to focus on what truly matters.

Learn why agentic observability is essential now as AI-generated software and autonomous systems increase operational complexity and business stakes. Discover practical steps to start your journey, including modeling key user journeys, integrating AI assistance into workflows, and aligning engineering with business priorities. Whether you are an IT leader, site reliability engineer, or service owner, this session will provide actionable insights to build a trusted, transparent, and business-aligned observability practice that meets the rising expectations of the AI era.

Our Speakers