[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-uptime::en":3,"gloss-cluster-uptime::en":20,"gloss-next-uptime::en":9},{"slug":4,"category":5,"name":6,"definition":7,"meta_desc":8,"faq":9,"schema_markup":9,"related":10},"uptime","saas","Uptime","Uptime is the percentage of a measurement period (typically a rolling month or year) during which a service was available and functioning correctly, as opposed to being down, unreachable, or degraded beyond an agreed threshold. It's the raw operational metric that underlies SLA commitments, and it's what a public status page (via tools like Statuspage, Better Uptime, or Instatus) communicates transparently to customers and prospects. Uptime is conventionally discussed in \"nines\": 99% uptime allows about 3.65 days of downtime per year — unacceptable for most B2B SaaS; 99.9% allows about 8.7 hours\u002Fyear; 99.95% allows about 4.4 hours\u002Fyear; 99.99% (\"four nines\") allows about 52 minutes\u002Fyear; and 99.999% (\"five nines,\" the standard for telecom-grade infrastructure) allows only about 5 minutes\u002Fyear. Achieving each additional nine requires disproportionately more engineering investment — going from 99.9% to 99.99% typically requires multi-region redundancy, automated failover, zero-downtime deployment pipelines, and comprehensive incident-response tooling, not just \"trying harder.\" Builders should distinguish uptime (the raw server-reachability metric) from availability in the fuller sense a customer experiences (a server that responds but returns errors, or is so slow it's functionally unusable, counts as \"up\" by a naive health check but is down in every way that matters to the user) — mature SaaS teams monitor synthetic transactions and real-user-monitoring (RUM) alongside simple ping checks specifically to catch this gap. Concrete worked example: a SaaS platform's status page reports 99.97% uptime for the trailing 30 days. Doing the math, that's about 13 minutes of downtime — one incident where a database failover took 13 minutes to complete after a primary node crashed. The post-incident review identifies that automatic failover detection took 9 of those 13 minutes due to an overly conservative health-check threshold; the team tightens that threshold, targeting sub-2-minute failover on the next incident, moving the service meaningfully closer to its 99.99% aspirational SLA tier. Builders should also distinguish planned maintenance windows from unplanned downtime when calculating and reporting uptime — most SLA contracts explicitly exclude pre-announced maintenance from the downtime calculation, which is why mature SaaS operations increasingly invest in zero-downtime deployment techniques (blue-green deploys, rolling updates) specifically to shrink or eliminate the need for maintenance windows at all, rather than relying on the contractual carve-out. Public status pages have also become a trust-building tool in their own right beyond pure incident reporting — showing a live, historical uptime graph and a transparent incident log (including honest post-mortems explaining what broke and what's being fixed) signals operational maturity to prospective enterprise buyers during procurement far more convincingly than a marketing claim of \"99.99% uptime\" with no visible evidence behind it.","Uptime is the percentage of time a service is available and functioning correctly, usually tracked and published as a rolling monthly or annual figure.",null,[11,14,17],{"slug":12,"name":13},"api-first","API-First",{"slug":15,"name":16},"cdn","Content Delivery Network (CDN)",{"slug":18,"name":19},"sla","Service-Level Agreement (SLA)",[21,25,29,32,33,36,39,43,46,49,52,55],{"slug":22,"category":5,"name":23,"updated_at":24},"activation","Activation","2026-08-24T02:46:36+00:00",{"slug":26,"category":5,"name":27,"updated_at":28},"aha-moment","Aha Moment","2026-08-24T02:46:37+00:00",{"slug":30,"category":5,"name":31,"updated_at":28},"annual-contract-value","Annual Contract Value (ACV)",{"slug":12,"category":5,"name":13,"updated_at":24},{"slug":34,"category":5,"name":35,"updated_at":24},"arpa","Average Revenue Per Account (ARPA)",{"slug":37,"category":5,"name":38,"updated_at":24},"arr","Annual Recurring Revenue (ARR)",{"slug":40,"category":5,"name":41,"updated_at":42},"auto-renewal-clause","Auto-Renewal Clause","2026-08-24T02:46:38+00:00",{"slug":44,"category":5,"name":45,"updated_at":42},"build-vs-buy","Build vs. Buy",{"slug":47,"category":5,"name":48,"updated_at":28},"burn-multiple","Burn Multiple",{"slug":50,"category":5,"name":51,"updated_at":42},"burn-rate","Burn Rate",{"slug":53,"category":5,"name":54,"updated_at":24},"cac","Customer Acquisition Cost (CAC)",{"slug":15,"category":5,"name":16,"updated_at":24}]