In many organizations, performance engineering, cloud cost management, and sustainability are treated as separate concerns.

Different dashboards. Different teams. Different conversations.

But when you look closely at how software systems behave, these three signals are often describing the same thing: efficiency.

An inefficient system tends to run slower, cost more to operate, and consume more compute resources. A well-designed system tends to do the opposite.

In this talk we’ll explore how everyday engineering decisions propagate through cloud systems. We’ll look at examples ranging from inefficient queries and over-provisioned infrastructure to architectural choices that quietly multiply compute work.

The goal is not to introduce a new set of metrics or another optimization checklist. Instead, we’ll develop a way of thinking about systems that makes these tradeoffs visible.

When engineers understand how design decisions affect performance, cost, and resource consumption at the same time, better choices become easier to make.

Because in modern systems, these aren’t three different problems.

They’re the same one.