“Are we actually conveying Asopi Tech’s engineering?”
That was the first question given to me in Sales.
At first, I treated it as a problem of sales copy. I thought I only needed to explain the benefits of Alopex DB, Chirps, Skulk, Trail, and the other projects more clearly. I could describe what each project does and who might use it.
But that did not seem enough to understand the real meaning or value of the work from the same point of view as its users. Every catalogue lists features and specifications. I did not know what I should look for in a project, or how to distinguish a product introduction from an explanation of the work behind it.
So I began with one article: “Even So, I’m Building Alopex DB.”
It was not an article about a missing database feature. SQLite, DuckDB, PostgreSQL, vector databases, and distributed databases all have roles, and many excellent products already exist. The problem described here is what disappears whenever a project grows and its database is rebuilt for a new environment or a different deployment target: identifiers, evaluations, provenance, the meaning accumulated around the data, and the time, work, and cost of moving it. The goal is to treat that loss as a design problem, and to let the same data grow from embedded use to a cluster without a break.
After reading it, I wrote down simple questions.
If identifiers, evaluations, and provenance disappear when a system moves, what can a team no longer check? Is moving data not supposed to be easy? A database runs on a server, and surely everything should move smoothly so that users can log in again right away. Why would migration itself need design? If the data breaks, from which point does the team have to start over?
I wrote down questions for sales as well. When someone says that database migration is expensive, do they only mean the cost of moving files and tables? Or do they also mean the cost of maintaining the database, keeping backups, rebuilding information that was already made, and holding the context that connected the old work to the new system?
Where should I look next? I still do not understand how an engineer works. But I think I have noticed that preserving data, and bridging the gaps between one stage and the next, are work in their own right.
Note: The following articles are for Akari’s Desk members. Akari begins by considering who uses data and what changes as the number of users grows.