Automation Observability: Logs, Traces and Alerts That Prevent Incidents

Structured logs from day one

Every execution should emit a JSON log with run id, workflow, stage, duration, outcome and a stable hash of the input. Grep-friendly plain text does not scale past a handful of workflows.

Alerts humans can act on

Failure rate over five minutes and queue depth over thirty seconds catch real incidents. CPU and memory catch nothing useful in a bursty workflow engine.

A dashboard per workflow

One page, four charts: throughput, latency, error rate and cost. If a change moves any of them, you catch it before customers do.