At Meta, we need to be able to readily determine if network conditions are responsible for instances of poor quality of experience (QoE) such as images loading slowly or video stalling during playback. In response, we’ve developed Network SLOs, which can be thought of as a product’s “minimum network requirements’ for good QoE. If the network between Meta and a user does not meet the product’s SLO requirements, QoE will be degraded. In this talk, we describe our work over the past three years on deriving and operationalizing Network SLOs for Meta’s user facing products. First, we discuss how we measure quality of experience for a handful of products and our approach to quantifying the relevant network conditions. We then discuss how we use a combination of statistical tools to derive Network SLOs, and how we process trillions of measurements each day to evaluate Network SLO compliance. We present case-studies of how Network SLOs have been used to triage regressions in QoE, identify gaps in Meta’s edge network capacity, and surface inefficiencies in how product utilizes the network.