Metrics-Based Failure Alerting for Node.js Logistics AI Agents: Four Signals

The article explains how a SaaS team running a logistics AI agent can use custom metrics for failure alerting. It recommends counting completed loops, failed loops, and heartbeats, and tying cost and latency to each run ID. It compares building a small Node.js poller against managed tools such as Prometheus with Alertmanager, Datadog, and Amazon CloudWatch. The author argues that a narrow poller suffices when threshold logic is simple, but that managed paging and escalation are usually worth outsourcing. Infrai is presented as one candidate for the polling side, with the caveat that it does not provide native alert delivery.