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8 pages in this section.
Why incident response and debugging optimize for different goals, and the layered signal model - infra, process, application, business - that disciplined Python troubleshooting moves through under time pressure.
diagnosing issues you can't reproduce locally: logs, distributed traces, py-spy, and live inspection.
alerts, regression tests, and prevention checklists.
sustainable rotations, alert hygiene, and reducing pager fatigue.