Uptime and availability tell different stories.

Define what “up” means.

In a proposed proxy monitoring setup, an uptime check might ask whether a gateway accepts a connection and completes a small probe. That tells you something about reachability. It does not establish that every exit address works, that every country can be selected, or that a destination accepts the resulting traffic.

Availability needs an equally explicit definition. A workload-focused measure can count attempts that produce the expected result divided by eligible attempts. Provider status pages may use different definitions, so read the component scope, reporting period, and treatment of partial outages before comparing percentages.

A response code is part of the answer.

A successful HTTP status can accompany content that is useless to your workflow. For example, an application could receive a generic page where it expected a particular record. Conversely, an error can originate from the destination or an intermediary rather than the proxy gateway. Google’s monitoring guidance distinguishes explicit failures from responses with incorrect content.

Keep the HTTP code, connection outcome, and content-validation result as separate fields. Cloudflare’s status-code documentation also distinguishes edge and origin responses. When a request passes through several systems, recording only one final code can erase useful context.

Write down the denominator.

Consider a fictional test with 1,000 scheduled attempts. Suppose ten never start because the test runner is offline, twenty cannot connect, and thirty return invalid content. You could calculate several different percentages from that record. None should be published without explaining which attempts are included.

Decide in advance how runner failures, user cancellations, retries, and maintenance periods are treated. Preserve the raw counts alongside the percentages. A smooth chart without a sample count makes it difficult to tell broad evidence from a handful of requests.

Look at interruption shape.

Two services can have the same aggregate success ratio and feel very different. Scattered isolated failures may be handled by a retry policy; a continuous interruption may halt a whole pipeline. Keep an event timeline and record consecutive failures so the duration and concentration of problems remain visible.

Compare regions separately before aggregating them. A global summary can be dominated by the busiest route and conceal an issue on a smaller route that matters to your team. An explicit traffic weighting is more informative than an unexplained global percentage.

Reading provider status pages.

ProxyAtlas shows uptime percentages and status reports collected from official provider pages. Each figure belongs to a named service and a stated reporting window. A dashboard outage can leave proxies unaffected; a regional proxy incident can coexist with an operational global summary. Follow the source link for incident details and changes since our last check.