Unlocking reliable LLM applications starts with strong observability in production.In “Observing LLMs in Production: Establishing the Foundation for AI Reliability,” experts from Datadog and RapDev break down what it takes to monitor, evaluate, and optimize LLMs in real-world environments.
Learn how to:
• Monitor latency, errors, and cost across LLM workloads
• Gain visibility into prompt behavior and model performance
• Detect hallucinations and enforce guardrails
• Prevent prompt injection and unsafe outputs
• Run experiments to compare prompts and models
Watch now to see how the right observability foundation improves reliability, performance, and control across your AI systems.