Turn latency pain into SLOs
Write latency SLIs, SLOs, and response rules for an edge AI workflow.
A clinical wound scanner uses an on-device model, but nurses report that the care-plan suggestion appears too late during rounds. SLO design: user journey -> SLI boundary -> target -> response rule The common trap is to defend model inference time when the user is waiting on the full workflow. Journey Write the user-visible chain: tap capture, image stabilizes, model runs, suggestion appears, audit record saves. The SLO should map to what the nurse experiences, not only what the model runtime reports. SLI Define capture-to-suggestion latency as the time from tapping capture to the care-plan suggestion becoming visible and editable.…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in