When Chaos Engineering Goes Wrong: 30 Real Incidents

We replaced our homegrown metrics pipeline with an off-the-shelf observability platform. The team resisted initially — ‘we can build something better suited to our needs’ — but the maintenance burden of the custom solution was consuming 20% of one engineer’s time every sprint. Sometimes buying is the right engineering decision.

Post-mortems without action items are just storytelling. We implemented a strict follow-up process: every post-mortem produces at most three concrete action items, each assigned to a specific person with a deadline. Items that don’t get done within two sprints get escalated or explicitly deprioritized.

The Migration Path

Our initial benchmark numbers looked promising in staging but fell apart under production traffic patterns. The difference? Staging used uniform request distributions while real users exhibit bursty, correlated behavior that exposes different bottlenecks entirely.

Accessibility improvements delivered unexpected business value. After making our checkout flow screen-reader compatible, we saw a 12% increase in completion rates across all users — the clearer interaction patterns helped everyone, not just assistive technology users.

We’re still iterating on all of this. In six months, some of these practices will have evolved or been replaced entirely. That’s the point — the system should never feel finished.

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