monitoring and observability

An overview of robust logging patterns for Bash scripts supporting AI pipelines: structured JSON logs, timestamps, log levels, stderr/stdout separation, traps for errors, set -euo pipefail, context propagation of run IDs, rotation and persistence, tailing and metrics export, and examples with tee and syslog for reproducibility and observability.