The team experimented with mob programming for complex features. Instead of one developer struggling alone with unfamiliar code, three or four engineers would work together for focused two-hour sessions. Velocity metrics initially looked worse, but defect rates dropped dramatically and knowledge silos disappeared.
Structured logging was the single highest-ROI infrastructure investment we made all year. Moving from free-text log lines to JSON with consistent field names meant our dashboards, alerts, and incident investigations all got dramatically better overnight. The migration took one engineer two weeks.
Incident Post-Mortem
Our cost optimization effort started with the boring stuff: right-sizing instances, cleaning up orphaned resources, and switching to reserved capacity for predictable workloads. These unglamorous changes saved more than any architectural redesign would have.
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.
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.
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.
Leave a Reply