Data pipeline reliability is a good proxy for how much everybody cares.
You can tell a lot about a team by how its pipelines behave. Not the dashboards, not the SLAs, the way people react when things break.
Do they investigate, or ignore? Do they share fixes or guard knowledge? Do they own the system, or blame the system?
Pipeline reliability is never just a technical outcome. It’s a reflection of shared responsibility of how much people care about what happens after their part is “done.”
The best platforms aren’t the ones that never fail. They’re the ones where nobody looks away when they do.
What does reliability reveal about your team’s culture?