arrow_back

Case Study

Mapping the Entropy

Mapping the Entropy

The problem wasn't a lack of tools; it was an excess of cognitive load. Over time, my local DBA folder had ballooned to dozens of discrete SQL scripts and Python patches, each designed for a specific routine anomaly.

Worse, some of the newer operational errors required orchestrating three or four different scripts in a specific sequence.

Running this mapping process in my head—translating a non-technical user's email into a precise technical execution plan—was an expensive use of mental RAM. It violated a core philosophy I hold: we should be engineering systems to reduce business entropy, not compensating for it with brute-force human labor.


The Crossroad

During a management sync, the CEO noticed the bottleneck. We needed a way to decouple these low-level IT operations from my desk so I could get back to driving the company's critical system modernization. Two distinct paths emerged.

What's the call?