New Relic Now 2026: The Age of AI Observability

See what your AI is actually doing

Learn how to govern non-deterministic architectures, consolidate tooling, and ship AI-native applications fast without hurting reliability—all in one morning.

Tuesday, June 23, 2026

9AM PT / 12PM ET

Free Live Virtual Event

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Walk away with this

Uncover how AI code impacts production risk
The State of AI Coding Report drops live. Get a first look at exclusive data on how AI-generated code is reshaping production-failure rates, senior engineer rework time, and policies for early observability in AI code.
See AI observability in action
See live demos of the capabilities your team should be running right now—including what just went GA and what's in preview.
Learn from teams already running it
See how your peers are running AI in production at scale, hear lessons learned and what they'd do differently now.

Event agenda

KEYNOTE	SPEAKERS
Opening keynote: The age of AI Observability AI is writing your code now. The question is whether your platform can see what it's doing. Find out why Observability has become the defining infrastructure decision for engineering teams in the AI era.	Katrina Wong Chief Marketing Officer, New Relic Brian Emerson Chief Product Officer, New Relic
The AI code gap: What vibe coding is really doing to your platform The data tells a story your incident queue already knows. This session digs into the numbers behind the AI code gap and what they mean for the platform decisions you're making right now.	Brian Emerson Chief Product Officer, New Relic
Platform deep dives: Wiring Observability into the AI development lifecycle Three hands-on deep dives for platform and SRE teams. Learn how to embed Observability into your AI dev loop, treat AI monitoring as core infrastructure, and govern a codebase you didn't write.	Jemiah Sius VP of Market Strategy and Developer Relations, New Relic
AI in production: What real builders are learning AI-native founders and engineering leaders get candid about what running LLMs in production really costs you—before you have the tooling to catch it.	Customer Panel (To be announced)