Cloud & DevOps · June 25, 2026

Observability for AI features: traces, cost, and failure modes

What to measure when copilots and agents join your product stack.

Treat every LLM call like a dependency. Track: latency, tokens/$, retrieval hit rate, tool error rate, user thumbs-down, and fallback frequency. Alert on budget burn, not just 500s. Without traces, “the model got worse” is folklore. --- **Ready to put this into practice?** [Send a brief](/contact) — we’ll map Starter, Squad, ODC, or an Agent product sprint to your next 90 days.

AWS cost control for startup SaaS: design, not dashboards
Platform engineering “lite” for Series A teams
Preview environments that actually speed product decisions

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