availability metrics
A team opens the morning dashboard and sees 99.9% uptime for the month. The graph looks calm. Then support tickets start piling up. Customers couldn't log in during a dependency failure, checkout timed out from one region, and a brief DNS issue slipped between checks. The percentage
passive monitoring vs active monitoring
At 3:00 a.m., an SRE receives a page about failed customer requests. The synthetic uptime check is green, the endpoint responds from the probe location, and the dashboard says availability is normal. Meanwhile, production telemetry shows real users timing out after a recent deployment. The incident isn'
website uptime
At 99.9% uptime, a website can still be offline for about 8.76 hours each year. That allowance can disappear during one serious incident, which is why the question “what is website uptime” needs a more useful answer than a percentage printed on an SLA. (LogicMonitor explains the downtime
server monitoring
At 3:00 AM, an on-call engineer gets paged for elevated CPU. Grafana shows several spiking hosts, Prometheus has a dense set of time series, and UptimeRobot says one endpoint is intermittently unavailable. The engineer opens a separate log search, checks a deployment channel, and tries to determine whether the
server monitoring
At 2 a.m., a server can still answer ping while the application on top of it has been returning errors for most of the night. The on-call engineer sees a green host check, the support queue keeps filling, and the only thing that looks healthy is the wrong layer.
cloud monitoring services
A cloud system rarely fails in a dramatic, obvious way. More often, an engineer gets a 3 AM alert that says something vague like "latency high" or "service unavailable," opens three dashboards, and still can't tell whether the problem is CPU pressure, a noisy
sla monitoring tools
Teams in search of SLA monitoring tools frequently face significant challenges. Customers are asking for uptime reports. The ops team has alerts from three systems that don't agree with each other. Leadership wants to know whether a recent incident breached contract terms or just looked bad on the
status page
At 3 AM, nobody asks for a definition of a status page. They ask why the API is timing out, whether the outage is regional, and who's telling customers what's happening. That's usually the moment a team discovers whether incident communication is part of
how to check server uptime
A ticket comes in that says, “server down.” That message usually arrives with almost no useful detail. Is the machine unreachable, did it reboot, did the app process die, or is a firewall blocking traffic while the host itself is perfectly fine? That's why how to check server