Gateway-level observability stack for agent tool calls
Collect operational logs, traces and metrics on the MCP gateway so agents cannot be trusted without continuous monitoring, evaluation and feedback — logs answer questions like which calls returned 401s or why a token refresh failed, traces show which tool was slow or which call failed, and metrics expose P95 latencies and auth-rejection spikes.
online B2B Deep Tech / Infrastructure
From AI Engineer — Paving the Road to Production: Governed Enterprise AI Agents — Harish Gaggar, Credit Karma at 12:03
Problem: Without visibility into failures, latency and access behavior on every tool call, agents cannot be trusted in production.
For: Platform teams operating agent infrastructure
Products from this video
Amazon CloudWatch Cloud Spanner Elastic FastMCP Grafana Grafana Tempo JFrog Artifactory Kubernetes LangChain LangGraph Loki OpenTelemetry Prometheus Redis SQLite
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