Glossary · Reliability metrics

What is an SLI?

Service level indicator

A service level indicator (SLI) is a measurement of one aspect of a service’s reliability, usually the share of good events: successful requests, checks that passed, or responses faster than a threshold.

How it works and why it matters

Common SLIs are availability (successful requests ÷ all valid requests), latency (requests served faster than, say, 500 ms ÷ all requests), and freshness or correctness for data pipelines. As a ratio, every SLI runs from 0 to 100% and can be compared with an SLO.

SLIs come from server logs, load balancers or synthetic checks outside your network. Logs see every real request but miss users who never reached you, for example during a DNS or CDN failure; external checks see those failures but sample at an interval. Many teams use both.

Use percentiles, not averages, for latency SLIs: an average hides the slow tail that a few percent of users get.

Formula

SLI = good events ÷ valid events × 100

Example: 43,190 of the 43,200 one-minute checks in 30 days passed: 43,190 ÷ 43,200 × 100 = 99.976%.

How Uptimecheck helps

Uptimecheck records every check with its result and timings, so availability (the share of monitored time without a confirmed outage) and response time percentiles are ready to use. Response times are split into DNS, connect, TLS, server and download, and charts show the median and the 95th percentile.

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Questions

Is uptime an SLI?

Yes, the most common one: the share of time, or of checks, in which the service worked.

Why use percentiles for latency?

An average of 200 ms can hide that 5% of users wait 3 seconds. The 95th percentile is the value 95% of requests were faster than, so it shows the slow tail.

Where should SLIs be measured?

As close to the user as practical. Server-side metrics miss failures in DNS, CDNs and networks before a request reaches you; external checks catch those.

Downtime is obsolete.

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