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Freedom251 › Blog › Google Cloud

I Built an Uptime Monitor That Does Not Wake You Up for Nothing

By Freedom251 Team · · 6 min read

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A useful uptime monitor does more than notice a failed request: it checks the behavior users rely on, gathers enough evidence to distinguish a brief probe glitch from a real outage, and pages only after a deliberate threshold is met. The cost of stronger confirmation is slower detection, so retries and regional agreement should match how quickly you need to know.

Decide what “up” means before you send an alert

Start with one check that represents a user-visible promise. For a web service, that might be “the sign-in endpoint returns an acceptable status and includes the expected response text,” not merely “the host answers a ping.” Define the target, acceptable result, timeout, and check interval before deciding how many failures should trigger a page.

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Google Cloud Monitoring supports HTTP, HTTPS, and TCP uptime checks, including response-content matching. Its HTTP default treats 2xx responses as successful. A public uptime check does not load page assets or execute JavaScript, however, so it is not a substitute for a browser-based test of a complete interactive page. Google Cloud uptime checks documentation

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Choose a check that matches the failure you care about

  • HTTP(S): Verifies that a web endpoint responds according to the status, content, and timeout rules you configure.
  • TCP port: Checks whether a service accepts a connection on a specified port; it does not prove that the application is returning useful content.
  • Ping: Tests ICMP reachability. A successful ping can coexist with a broken website or application.
  • Keyword or response match: Adds a content condition to a response check, helping catch cases where a page answers but no longer contains expected text.
  • Heartbeat: Expects a monitored job or device to request a supplied URL on schedule. This is a push signal from the job, rather than a probe that repeatedly pulls the job’s endpoint.

These names describe different questions, not interchangeable levels of “uptime.” UptimeRobot’s overview explains the monitor types, including HTTP(S), ping, port, keyword, and heartbeat monitors. UptimeRobot FAQ

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Confirm a failure before paging

A single failed request is weak evidence: a temporary route problem, a slow response, or a probe-side connection error may affect one check without meaning the service is down. A small retry allowance or a sustained-failure period can filter brief glitches. The trade-off is direct: every added retry or wait makes the alert less sensitive to short interruptions but delays the notification of a genuine outage.

There is no universal retry schedule. UptimeRobot’s troubleshooting guide, dated July 31, 2026, says it retries connection failures up to three times at 20-second intervals and application failures up to three times at 10-second intervals before changing a monitor to Down. The guide also documents exceptions: SSL errors are not retried, and a monitor that is already down receives no retry allowance on its next check. Treat these as UptimeRobot’s stated behavior, not a general standard or a recommendation for every service. UptimeRobot troubleshooting guide

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When configuring your own monitor, distinguish a retry policy from an alert-duration policy. Retries repeat a probe after a failed attempt; a duration rule waits for failures to persist over a time window. Either can reduce noise, but the exact detection delay depends on the check interval, retry timing, and how the monitor evaluates the threshold.

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Decide whether regions must agree

A failure observed from one location might reflect a localized network route, firewall, web application firewall (WAF), or content-delivery network (CDN) issue rather than a broad service outage. Independent probe regions can help separate those cases. Decide explicitly whether any region can trigger an alert, or whether multiple regions must fail before the incident is considered actionable.

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Provider behavior differs. Google Cloud’s current default uptime alert requires failures from at least two regions for at least one minute. UptimeRobot’s July 31, 2026 troubleshooting guide describes its current round-robin region rotation as having no quorum. These are product-specific policies, not industry-wide defaults. Google Cloud uptime checks documentation · UptimeRobot troubleshooting guide

Regional agreement lowers the chance that one isolated probe failure will page you, but waiting for agreement can add delay—and a regional-only problem may matter to the users affected by it. Use a policy that reflects your service’s geography and impact: a localized failure may deserve a targeted warning even when it does not meet the threshold for a global outage alert.

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Build an alert policy that is useful during an incident

Before enabling paging, write down the evidence required to declare the service down: the check result, retry or duration threshold, and regional rule. Then decide who should receive the notification and what should happen when the incident remains open. Deduplicate repeat notifications for the same unresolved incident, and define escalation separately from the rule that first declares the service down. These are design decisions to implement in your alerting system; the provider documentation cited here does not establish one cross-vendor standard for deduplication or escalation.

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Keep a diagnostic record for each failed check: timestamp, probe location, target, response or error result, and retry count. That context helps distinguish a persistent application failure from a transient probe or route problem. If the monitor provides timing data, preserve it too: a service that is reachable but near its timeout limit can need attention before it begins failing outright.

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Suppress planned work deliberately

Planned backups, batch jobs, restarts, and upgrades can create expected failures. Schedule a maintenance window when the selected monitoring system supports one, and establish what the window actually changes: whether it stops checks, suppresses notifications, or affects uptime accounting. Do not assume those behaviors are identical.

UptimeRobot’s maintenance-window documentation says windows can be one-time or recurring and suppress most checks during the scheduled period. Its help article, dated July 31, 2026, says the feature is limited to paid plans and notes an exception for heartbeat monitors. Check the current feature eligibility and monitor-type behavior in the product documentation before relying on a window to silence a particular alert. UptimeRobot maintenance windows

Choose where to run the probes

The right implementation depends on whether you want a hosted service to operate the probes or prefer to run the probing and alert pipeline yourself. Compare behavior and operating responsibility rather than assuming all tools have the same retry, region, or maintenance semantics.

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Approach What it supports What to weigh
Google Cloud Monitoring public uptime checks HTTP, HTTPS, and TCP checks; configurable response requirements and optional content matching; multiple regions; alert duration. Its documented default alert requires at least two regions to fail for at least one minute. Existing Google Cloud footprint, regional control, alert delay, configuration effort, and whether the check needs authenticated access. See Google Cloud uptime checks documentation.
UptimeRobot hosted monitoring Multiple monitor types, documented retries and regional behavior, and maintenance windows. Some settings and features depend on plan. Monitor type, retry and quorum semantics, maintenance behavior, notification integrations, and current plan limits. See the UptimeRobot FAQ, troubleshooting guide, and maintenance-window documentation.
Prometheus Blackbox Exporter Self-hosted probes for HTTP, HTTPS, DNS, TCP, ICMP, and gRPC; emits success and timing metrics. Operational ownership, probe placement, metric storage, alert routing, protocol coverage, and how you implement confirmation logic. See the Blackbox Exporter project.

Use probe metrics to tell slow from unreachable

Blackbox Exporter exposes probe-success and timing metrics, including probe duration and timeout consumption. Those signals add diagnostic context: a failed probe is different from a successful response that uses nearly all the available timeout. Store the measurements alongside location and result so an incident alert can point toward a connection failure, a slow endpoint, or a problem limited to one probe location. Prometheus Blackbox Exporter

For scheduled jobs and devices, use a heartbeat when the important question is whether the work reported in on time. The job requests its supplied heartbeat URL; a missed expected request can then trigger an alert. Pair that with a pull check only if you also need to know whether an endpoint or service is reachable independently of the job’s own report.

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Google CloudPrometheusreliabilityuptime monitoringUptimeRobotwebsite monitoring

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