Control AI Spend

As AI agents and applications move into production, token usage is becoming one of the fastest-growing infrastructure costs. Monitoring spend after requests reach an LLM is no longer enough. Engineering leaders need proactive controls that balance AI innovation with financial accountability.

Join Michael Levan and Sebastian Maniak from Solo.io for this live DZone webinar to explore a practical architecture for real-time AI cost governance using an AI gateway. Through technical guidance and live demonstrations, you'll see how to implement scalable guardrails without changing application code.

You'll learn how to:

• Prevent costly LLM requests with real-time token accounting and budget enforcement
• Add AI governance without modifying existing applications
• Improve cost visibility and attribution across teams, services, and AI workloads

Who should join: Platform engineers, AI infrastructure leaders, SREs, DevOps professionals, cloud architects, and engineering managers responsible for production AI systems.

Can't attend live? Register to get the recording.

Reserve My Seat