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.
We go further and faster when we collaborate. Geek out with our team of engineers on our learnings, insights, and best practices.
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