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Explore our latest articles and insights about Observability.
8 posts in total
How to debug a live agent incident using Langfuse traces. The search patterns, the 5-minute workflow, and the post-mortem that catches the root cause.
How to use Langfuse trace data to find where your agent burns tokens. The 4 queries, the cost-per-user view, and the 50 percent savings patterns.
How to combine Langfuse traces with Grafana dashboards for agent monitoring. The integration, the panels, and the alerting that catches real problems.
How Prometheus metrics surface performance bottlenecks in agentic AI. The 3 queries, the alert rules, and the dashboard that finds hot loops fast.
How to stress test an agentic AI service before it ships. Concurrency, tokens, latency budgets, and the load profile that simulates real traffic.
How to instrument an agentic AI service with Prometheus. The 4 metrics that matter, the histogram trap, and the dashboard that surfaces regressions.
How to wire Langfuse into an agentic AI service for full observability. The trace hierarchy, the decorator pattern, and what to log per span.
Learn how to implement observability and guardrails in production AI systems. Covering logging, metrics, tracing, cost tracking, input/output validation...