01 / MISSION
Make the reasoning behind software visible
Architecture decisions are rarely universal. They depend on the team, load, budget and product stage. We document those constraints before presenting a solution.
The goal is not to publish more. It is to build a small library of references worth returning to.
02 / PRINCIPLES
Editorial principles
01Evidence over authority
We distinguish sources, first-party measurements and editorial inference.
02Context over recipes
We explain when to use a technique and when to avoid it.
03Clarity over complexity
Precision does not require inaccessible writing.
04Revision over speed
Articles are updated when data or platforms change.
03 / PROCESS
From experiment to article
- 01
Form a questionIt must be specific and allow a result that contradicts intuition.
- 02
Build a testWhen the Lab opens, each test will publish its environment and parameters.
- 03
Interpret limitsWe separate measurements from inference and declare biases.
- 04
Publish and correctThe analysis links its sources and stays open to review.
AI may assist with finding sources, comparing candidates or preparing drafts. Selection, verification, editing and final publication remain under human review.
04 / STACK
Technologies that appear often
GoPythonPostgreSQLDockerGoogle CloudMicrosoft AzureOpenTelemetryTerraform
05 / AUTHOR
Ariel Bodan — Backend Engineer
I design APIs, backend services and data systems with Python, Go and PostgreSQL. Bodan the Backend is where I document how I make architecture, performance and cloud decisions.