Join us for Navigating Complexity in AI-Driven Observability

Navigating Complexity in AI-Driven Observability: Challenges of Scale, Signal, and Cost TOPIC Navigating Complexity in AI-Driven Observability: Challenges of Scale, Signal, and Cost AI-driven observability is reshaping how complex digital systems are interpreted, particularly as infrastructure, applications, and AI workloads converge within modern platforms. It raises questions around how signal interpretation, cost control, and automation intersect when incident response is increasingly assisted by intelligent agents and real-time analytics. As systems scale, the ability to trace behaviour across logs, metrics, traces, and model interactions becomes central to maintaining reliability and understanding root causes quickly. At the same time, observability for AI systems introduces visibility into prompts, responses, latency, and cost, prompting reflection on how much transparency is necessary for effective oversight. These developments suggest ongoing shifts in how reliability, efficiency, and intelligence are balanced across increasingly autonomous environments and evolving expectations of operational awareness in distributed systems over time across cloud-native architectures and platforms. What are the key challenges in achieving reliable observability across increasingly complex, AI-augmented distributed systems, particularly in terms of signal noise, cost visibility, and end-to-end traceability? What strategies can organisations adopt to balance automation and human oversight when using intelligent agents for incident detection, root cause analysis, and system optimisation at scale? How might observability evolve as AI systems become more autonomous, and what implications could this have for transparency, accountability, and operational decision-making in the future? AGENDA 6:30 PM Arrival of guests and drink reception 7:00 PM Welcoming and opening address by The Ortus Club 7:10 PM Short introduction by Grafana Labs 7:20 PM Discussion initiated by the moderator and continued by the group 7:50 PM Appetizers are served 8:20 PM Discussion ends, mains are served 9:00 PM Drinks and networking

WHO IS ATTENDING? Join leaders interested in navigating the complexity of AI-driven observability by mastering signal-to-noise challenges, controlling costs at scale, and balancing intelligent automation with human oversight across distributed, cloud-native architectures. Job titles may include CTOs, VPs, Heads, Directors of Engineering, Observability Leaders, Developer Leaders and other senior decision-makers.