The Weird Comfort of Logs

Logs are not glamorous.

They are messy, noisy, repetitive, and often ignored until something breaks.

Then suddenly they become priceless.

A good log line can save hours. A bad log line can waste a day. No log line can turn a simple issue into archaeology.

As systems become more distributed, logging and observability become less optional. You cannot reason about a system you cannot see.

AI may help here too. It can group patterns, summarise incidents, detect anomalies, and explain likely causes. But the raw material still matters.

If the logs are inconsistent, vague, or missing context, AI will only summarise confusion.

Good observability is a design decision. It should be part of development, not an afterthought added during production panic.

The question is simple: when this fails at 02:00, what will we wish we had logged?

Build that in before the failure.