[{"data":1,"prerenderedAt":489},["ShallowReactive",2],{"\u002Fblog\u002Fwhat-is-uptime-monitoring":3},{"id":4,"title":5,"author":6,"body":8,"category":461,"date":462,"description":463,"extension":464,"faq":465,"howTo":481,"image":481,"lastUpdated":462,"meta":482,"navigation":483,"path":484,"readingTime":485,"seo":486,"stem":487,"__hash__":488},"blog\u002Fblog\u002Fwhat-is-uptime-monitoring.md","What Is Uptime Monitoring?",{"name":7},"Theo Cummings",{"type":9,"value":10,"toc":432},"minimark",[11,15,18,23,29,33,36,49,52,56,59,83,86,100,104,107,112,115,119,122,126,129,133,136,140,143,149,201,204,208,211,237,240,244,247,261,264,273,276,290,293,297,300,330,333,337,340,354,357,361,365,368,372,375,379,382,386,389,392,396,399,402,406],[12,13,14],"p",{},"Uptime monitoring is the process of checking whether your customer-facing systems stay available and respond correctly over time.",[12,16,17],{},"If your site goes down at 2:11 PM, a monitor should detect it in under a minute, alert the right owner, and create an incident timeline. That is the job.",[19,20,22],"h2",{"id":21},"definition","Definition",[12,24,25],{},[26,27,28],"strong",{},"Uptime monitoring is an automated method for testing websites, APIs, and infrastructure endpoints at fixed intervals to verify availability, performance thresholds, and response integrity, then alerting teams when failures persist.",[19,30,32],{"id":31},"why-teams-use-uptime-monitoring","Why teams use uptime monitoring",[12,34,35],{},"Teams adopt uptime monitoring for three reasons:",[37,38,39,43,46],"ul",{},[40,41,42],"li",{},"Detect outages before customers report them",[40,44,45],{},"Reduce time to acknowledge incidents",[40,47,48],{},"Collect objective availability data for SLA and reliability reviews",[12,50,51],{},"Without monitoring, outage detection depends on customer tickets, social posts, or internal guesswork. That turns a fixable incident into a trust problem.",[19,53,55],{"id":54},"how-uptime-monitoring-works","How uptime monitoring works",[12,57,58],{},"A standard HTTP check follows this flow:",[60,61,62,65,68,71,74,77,80],"ol",{},[40,63,64],{},"Resolve DNS for target hostname.",[40,66,67],{},"Open network connection.",[40,69,70],{},"Complete TLS handshake for HTTPS.",[40,72,73],{},"Send request to endpoint.",[40,75,76],{},"Validate response against rules.",[40,78,79],{},"Record result with timestamp and region.",[40,81,82],{},"Trigger incident if failure logic is met.",[12,84,85],{},"Validation rules often include:",[37,87,88,91,94,97],{},[40,89,90],{},"Expected status code",[40,92,93],{},"Maximum response time",[40,95,96],{},"Required text in response body",[40,98,99],{},"SSL validity checks",[19,101,103],{"id":102},"what-to-monitor","What to monitor",[12,105,106],{},"Most SaaS teams need coverage in four buckets.",[108,109,111],"h3",{"id":110},"website-and-api-endpoints","Website and API endpoints",[12,113,114],{},"Monitor the homepage, login route, and core API paths that map to user-critical workflows.",[108,116,118],{"id":117},"ssl-certificates","SSL certificates",[12,120,121],{},"Alert before expiry and on certificate chain issues.",[108,123,125],{"id":124},"dns-and-domain-records","DNS and domain records",[12,127,128],{},"Track A, CNAME, NS, MX records plus domain expiry.",[108,130,132],{"id":131},"background-jobs","Background jobs",[12,134,135],{},"Use heartbeat checks for cron jobs and workers so silent failures show up quickly.",[19,137,139],{"id":138},"uptime-percentage-explained","Uptime percentage explained",[12,141,142],{},"Uptime percentage is the share of time a system remains available during a period.",[12,144,145],{},[146,147,148],"code",{},"Uptime % = (Total time - downtime) \u002F total time * 100",[150,151,152,165],"table",{},[153,154,155],"thead",{},[156,157,158,162],"tr",{},[159,160,161],"th",{},"Uptime target",[159,163,164],{},"Allowed downtime per year",[166,167,168,177,185,193],"tbody",{},[156,169,170,174],{},[171,172,173],"td",{},"99%",[171,175,176],{},"87h 36m",[156,178,179,182],{},[171,180,181],{},"99.9%",[171,183,184],{},"8h 45m",[156,186,187,190],{},[171,188,189],{},"99.95%",[171,191,192],{},"4h 23m",[156,194,195,198],{},[171,196,197],{},"99.99%",[171,199,200],{},"52m 34s",[12,202,203],{},"This table helps teams translate SLA targets into operational reality.",[19,205,207],{"id":206},"mttd-mtta-mttr","MTTD, MTTA, MTTR",[12,209,210],{},"These metrics show whether monitoring is helping operations.",[37,212,213,225,231],{},[40,214,215,218,219,224],{},[26,216,217],{},"MTTD:"," ",[220,221,223],"a",{"href":222},"\u002Fblog\u002Fmttr-mttd-mtbf-incident-metrics","Mean time to detect",". Lower is better.",[40,226,227,230],{},[26,228,229],{},"MTTA:"," Mean time to acknowledge. Shows routing quality.",[40,232,233,236],{},[26,234,235],{},"MTTR:"," Mean time to resolve. Measures full incident response.",[12,238,239],{},"Monitoring controls MTTD directly through interval and failure confirmation logic.",[19,241,243],{"id":242},"what-causes-noisy-alerting","What causes noisy alerting",[12,245,246],{},"Common noise sources:",[37,248,249,252,255,258],{},[40,250,251],{},"Single-region probes",[40,253,254],{},"Alerting on one failed run",[40,256,257],{},"Tight response-time thresholds without historical baselines",[40,259,260],{},"Per-check notification model during one ongoing incident",[12,262,263],{},"These patterns train teams to ignore alerts.",[19,265,267,268,272],{"id":266},"how-to-reduce-false-positives","How to reduce ",[220,269,271],{"href":270},"\u002Fblog\u002Freduce-false-positive-alerts","false positive","s",[12,274,275],{},"Use this baseline setup:",[60,277,278,281,284,287],{},[40,279,280],{},"Check from three regions.",[40,282,283],{},"Require quorum (2 of 3 fail) before incident open.",[40,285,286],{},"Reconfirm on next interval before paging.",[40,288,289],{},"Notify per-incident, not per-check.",[12,291,292],{},"This design preserves fast detection while filtering transient network noise.",[19,294,296],{"id":295},"uptime-monitoring-vs-observability","Uptime monitoring vs observability",[12,298,299],{},"You need both, but they do different jobs.",[150,301,302,312],{},[153,303,304],{},[156,305,306,309],{},[159,307,308],{},"Tool type",[159,310,311],{},"Question answered",[166,313,314,322],{},[156,315,316,319],{},[171,317,318],{},"Uptime monitoring",[171,320,321],{},"Is the service available right now?",[156,323,324,327],{},[171,325,326],{},"Observability",[171,328,329],{},"Why is it failing and where?",[12,331,332],{},"Uptime monitoring starts the response process. Observability tools support diagnosis and remediation.",[19,334,336],{"id":335},"practical-rollout-for-a-small-team","Practical rollout for a small team",[12,338,339],{},"Start with this sequence:",[37,341,342,345,348,351],{},[40,343,344],{},"Day 1: Add critical URL checks and SSL alerts.",[40,346,347],{},"Day 2: Configure Slack plus on-call escalation.",[40,349,350],{},"Week 1: Add DNS\u002Fdomain monitors and one heartbeat monitor.",[40,352,353],{},"Week 2: Review first alert batch and remove noisy rules.",[12,355,356],{},"This gives useful coverage without tool sprawl.",[19,358,360],{"id":359},"common-mistakes","Common mistakes",[108,362,364],{"id":363},"monitoring-only-one-endpoint","Monitoring only one endpoint",[12,366,367],{},"One monitor does not represent product health.",[108,369,371],{"id":370},"skipping-alert-drills","Skipping alert drills",[12,373,374],{},"If alert delivery fails, you will discover it during an outage unless you run tests.",[108,376,378],{"id":377},"ignoring-monthly-tuning","Ignoring monthly tuning",[12,380,381],{},"Traffic patterns change. Alert logic must change with them.",[19,383,385],{"id":384},"when-uptime-monitoring-is-enough-and-when-it-is-not","When uptime monitoring is enough and when it is not",[12,387,388],{},"Uptime monitoring is enough to detect outages and trigger response.",[12,390,391],{},"It is not enough to diagnose deep performance regressions, query-level latency causes, or distributed trace failures. Pair it with logs, traces, and metrics when your stack grows.",[19,393,395],{"id":394},"final-take","Final take",[12,397,398],{},"If your team cares about reliability, uptime monitoring is not optional. It is the first control in your incident-response stack.",[12,400,401],{},"The quality bar is clear: when an alert fires, someone should trust it.",[19,403,405],{"id":404},"related-guides","Related guides",[37,407,408,414,420,426],{},[40,409,410],{},[220,411,413],{"href":412},"\u002Fblog\u002Fuptime-monitoring-guide","Uptime Monitoring Guide",[40,415,416],{},[220,417,419],{"href":418},"\u002Fblog\u002Fuptime-monitoring-best-practices","Uptime Monitoring Best Practices",[40,421,422],{},[220,423,425],{"href":424},"\u002Fblog\u002Fhow-to-monitor-website-uptime","How to Monitor Website Uptime",[40,427,428],{},[220,429,431],{"href":430},"\u002Fblog\u002Fuptime-sla-monitoring","Uptime SLA Monitoring",{"title":433,"searchDepth":434,"depth":434,"links":435},"",2,[436,437,438,439,446,447,448,449,451,452,453,458,459,460],{"id":21,"depth":434,"text":22},{"id":31,"depth":434,"text":32},{"id":54,"depth":434,"text":55},{"id":102,"depth":434,"text":103,"children":440},[441,443,444,445],{"id":110,"depth":442,"text":111},3,{"id":117,"depth":442,"text":118},{"id":124,"depth":442,"text":125},{"id":131,"depth":442,"text":132},{"id":138,"depth":434,"text":139},{"id":206,"depth":434,"text":207},{"id":242,"depth":434,"text":243},{"id":266,"depth":434,"text":450},"How to reduce false positives",{"id":295,"depth":434,"text":296},{"id":335,"depth":434,"text":336},{"id":359,"depth":434,"text":360,"children":454},[455,456,457],{"id":363,"depth":442,"text":364},{"id":370,"depth":442,"text":371},{"id":377,"depth":442,"text":378},{"id":384,"depth":434,"text":385},{"id":394,"depth":434,"text":395},{"id":404,"depth":434,"text":405},"guides","2026-07-02","Uptime monitoring checks whether your website, API, and core services are available and responding correctly. Learn how it works, what to monitor, and how to reduce false alerts.","md",[466,469,472,475,478],{"q":467,"a":468},"What is uptime monitoring in simple terms?","Uptime monitoring is an automated system that checks your website or API on a schedule and alerts your team when it becomes unavailable or fails validation rules such as status code, response time, or response content.",{"q":470,"a":471},"How often should uptime checks run?","For most SaaS teams, 1-minute checks are a strong default for critical endpoints. Lower-priority endpoints can run every 5 minutes. The right interval depends on incident impact and response requirements.",{"q":473,"a":474},"What causes false uptime alerts?","Most false alerts come from single-region probing, tight thresholds, and alerting on one failed check. Multi-region consensus and one confirmation check remove most false positives.",{"q":476,"a":477},"Is uptime monitoring the same as observability?","No. Uptime monitoring answers whether a service is available right now. Observability tools explain why the system is failing by analyzing logs, metrics, and traces.",{"q":479,"a":480},"Can uptime monitoring help with SLA commitments?","Yes. It provides timestamped availability data, incident history, and detection logs that support SLA tracking, postmortems, and customer communication.",null,{},true,"\u002Fblog\u002Fwhat-is-uptime-monitoring",9,{"title":5,"description":463},"blog\u002Fwhat-is-uptime-monitoring","TP2LXxryqlX4_NPpezWWZJHK1KsIWgPnZL4oMyttl8I",1783438374497]