SPLUNK EVENT

Full-Stack Observability:
For the AI Era

As AI reshapes applications, infrastructure, and the way teams operate, having visibility across the entire technology stack has never been more important. Join Splunk experts for this four-part Full-Stack Observability series exploring how organizations can build resilient, high-performing digital experiences in the agentic era. From monitoring and governing AI agents to understanding end-user experiences, troubleshooting complex applications, and applying AI-driven SRE practices, you’ll see how Splunk Observability Cloud brings together insights across applications, infrastructure, networks, digital experiences, and business outcomes.

[Webinar]
Optimize AI at Scale: From 'What Broke?' to 'Can I Trust the System?'
A .conf26 Observability Showcase
October 8^th 2026 | 10:00am – 11:00am PT
Missed .conf26 or want a closer look? Join us for a fast-follow showcase of the latest Splunk observability innovations, including Agent Observability, full-stack visibility, and AI-driven SRE.

[Tech Talk]
What’s New in Digital Experience Monitoring in Splunk Observability Cloud
October 14^th 2026 | 10:00am – 11:00am PT
Explore the latest in Splunk Digital Experience Monitoring, including Digital Experience Analytics, RUM, and Synthetic Monitoring, and see how these capabilities help teams identify friction, improve performance, and connect digital experiences to business outcomes.

[Interactive Lab]
Solve Problems Faster with Splunk Observability Free Edition
October 15^th 2026 | 10:00am – 11:30am PT
Get hands-on with Splunk Observability Cloud as you troubleshoot complex applications, explore the first steps of monitoring AI workloads in Playground, and leave with a Free Edition instance you can continue using after the lab.

[Office Hours]
Full-Stack Observability Office Hours: Ask the Experts
October 22^nd 2026 | 11:00am – 12:00pm PT
Bring your observability questions to the experts. In this interactive office hours session, explore how full-stack observability can help teams move from reactive troubleshooting to proactive, AI-guided operations.