A practical troubleshooting philosophy built around evidence, patterns and long-term reliability.
When something worked and suddenly does not, Ian's first question is simple: what changed? Before dismantling a system that was previously working, establish the facts. Identify the recent change, the affected component and the actual symptom.
If you know where the pain is, you can focus the investigation instead of tearing apart the whole system.
Recurring alarms and event patterns can reveal developing issues before they become production incidents. Ian used controlled maintenance practices to address recurring conditions on affected components or users while minimizing disruption to the broader operation.
That is the difference between reactive troubleshooting and operational engineering: the goal is not simply to survive the next incident, but to reduce the probability of having it.
Over a long period, Ian investigated recurring symptoms including latency, echo, dead air, clicking, calls with no audible party and phantom calls. Multiple vendors were involved. The evidence increasingly pointed toward the network, but the exact point of failure could not ultimately be isolated with certainty.
That uncertainty matters. Good engineering does not manufacture a root cause simply to make a report look finished. It documents what the evidence supports, what remains unknown and what should be watched going forward.
Follow the evidence. Be decisive where the facts are clear — and honest where they are not.