hyperlakeDiscuss a deployment ↗
Videos · · 2:17

LLM Observability

LLM observability combines request traces with quality, latency, cost, and drift signals to explain why technically successful AI outputs still fail.

In the full article

  1. What is LLM observability?
  2. How do traces explain an LLM request?
  3. Which LLM observability metrics matter?
  4. How do you implement LLM observability in production?
  5. Key takeaways
  6. How Hyperlake helps
  7. Frequently asked questions

Start with a workload. Build the environment around it.

Explore example deployments, or see how the platform assembles, deploys, governs and operates the stack.