A Linux DevOps engineer is instrumenting a containerized file-upload microservice that runs on the company's production Kubernetes cluster. Management has defined the following customer-facing objective: "At least 99.5 % of file-upload requests must finish within two seconds, measured over a rolling 30-day window." Before the team can finalize the SLO, they must choose a service-level indicator (SLI) that accurately measures whether the service meets this objective. Which metric is the most appropriate SLI to use?
Number of TCP SYN packets received on port 443 for the file-upload service each minute
Count of HTTP 5xx responses returned by the file-upload endpoint per minute
95th-percentile CPU utilization of the pods handling file-upload traffic, sampled every minute
Percentage of file-upload requests that finish in ≤2 s during the last 30-day rolling window
An SLI is a quantitative measure of a user-visible characteristic of a service. Because the business objective is expressed as the proportion of requests that complete within a latency threshold, the SLI must directly measure that same proportion. Tracking the percentage of uploads that finish in ≤2 s over the same 30-day window gives a one-to-one comparison with the target and can be evaluated automatically. CPU utilization, HTTP 5xx counts, and raw TCP SYN traffic are all useful operational metrics, but none of them reveal whether individual uploads meet the two-second latency requirement, so they cannot demonstrate compliance with this particular SLO.
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What is an SLI in the context of service-level objectives?
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