The invisible decisions that define reliability. Explaining why systems fail, not how to copy setups.
We focus on the decisions that rarely trend: architectural trade-offs, legacy constraints, and the
physics of data movement.
Real engineering is about constraints, not features.
Trying to build an abstraction layer over AWS, Azure, and GCP usually results in a lowest-common-denominator system that is expensive to run and impossible to debug.
Or rather, it is a truth that application developers refuse to handle. We look at the data corruption that happens when "eventually" takes too long.
Treating K8s as just "Docker with more YAML" is the primary cause of platform engineering burnout.