Choosing the right check interval

Not every endpoint needs the same monitoring frequency. Checking your production checkout flow every minute makes sense. Checking a rarely-visited internal admin panel at the same frequency is probably overkill. Here's a practical framework for choosing the right interval.

The core question: what's the cost of missed downtime?

The right check interval is determined by two variables: how much a minute of undetected downtime costs you, and how quickly the underlying service typically fails and recovers.

For a payment processing API, a missed 3-minute outage could mean thousands in lost revenue. For a staging environment, it might mean a developer is blocked for a few minutes before they notice themselves. These have very different optimal intervals.

1-minute intervals — when to use them

• Production APIs and web applications that directly serve customers
• Checkout flows, payment endpoints, and authentication services
• Any service covered by a formal SLA with customers or partners
• Endpoints where downtime directly causes revenue loss
• Publicly-facing services where users have no fallback

5-minute intervals — when they're sufficient

• Marketing and content sites where a few minutes of downtime is low-stakes
• Database TCP port checks when you have app-level health endpoints as primary signals
• Internal tools and admin panels used by a small team
• Background job endpoints and webhooks that retry automatically on failure

15–30 minute intervals — appropriate for

• Staging and development environments
• Backup endpoints and secondary services
• Non-customer-facing internal services
• Systems with human-operated recovery that can't respond faster anyway

A practical reference by service type

• E-commerce checkout: 1 minute
• Login / authentication API: 1 minute
• Core product API: 1 minute
• CDN / static assets: 5 minutes
• Documentation site: 5 minutes
• Internal admin panel: 5–15 minutes
• Staging environment: 15–30 minutes
• Backup / failover service: 30 minutes

Interval vs. accuracy

More frequent checks are only valuable if the underlying checks are accurate. A 1-minute monitor with high false positive rates is worse than a 5-minute monitor with zero false positives. Check frequency should always be evaluated alongside the monitoring provider's false positive rate.

UptimeWiz's consensus verification approach produces effectively zero false positives at 1-minute frequency — making high-frequency monitoring both safe and genuinely informative.