What uptime SLA should a SaaS startup commit to?

Start with 99.5% (Standard tier) — roughly 3.6 hours of allowed downtime per month, achievable for most teams without dedicated SRE. Once you've consistently measured above 99.9% for 6+ months and have multi-region failover, you can safely commit to 99.9% for paid tiers and 99.95% for enterprise contracts.

How is uptime actually calculated?

Uptime % equals (total minutes minus downtime minutes) divided by total minutes, multiplied by 100. Downtime is typically counted as periods where your monitor reports failures across a quorum of regions for more than your defined grace period.

Do I need to offer SLA credits?

Not for free or starter tiers. For paid plans above roughly $500/month, customers will expect them. Enterprise contracts always include them — procurement teams will redline contracts without them. A typical schedule: 10% credit for 99.0–99.9%, 25% for 95.0–99.0%, 50% below 95%.

Can I exclude scheduled maintenance from SLA calculations?

Yes — this is standard. But you must define the notice period (usually 48-72 hours), the maximum allowed maintenance window per month, and the communication channel. Without these guardrails, 'scheduled maintenance' becomes a loophole that destroys trust.

What's the difference between availability and reliability?

Availability measures whether the service responds (uptime %). Reliability measures whether it responds correctly and within acceptable latency. Enterprise buyers increasingly want both numbers — committing to 99.9% availability AND a P95 latency target signals operational maturity beyond a single number.

How long should I retain uptime history?

Minimum 90 days for public display, but retain raw data for 12+ months internally for SLA disputes, trend analysis, and reporting. FourSight retains 90 days on Pro and 1 year on Scale.

Should single-region failures count as downtime?

Generally no, if the failure is isolated to one region while others remain healthy. That's a network or routing issue between probes and your origin, not your application going down. Quorum-based monitoring filters these out and gives you a much more accurate availability number.

Uptime SLA Reporting for SaaS Companies

Why SLA Reporting Matters for Enterprise Sales

Enterprise customers don't buy promises—they buy proof. A transparent uptime SLA, backed by real monitoring data from an independent third party, can be the difference between closing a six-figure ACV and losing to a competitor with a polished status page. Your SLA report is a trust document: it tells procurement, security, and engineering teams that you measure what you ship. The companies that win enterprise deals aren't the ones with the highest uptime — they're the ones with the most credible, well-presented evidence of their uptime.

The Anatomy of a Credible SLA

A credible SLA has four parts: a measurable uptime commitment, an honest exclusion list, a remediation policy when you breach it, and a reporting cadence that puts the numbers in front of your customers. Most SaaS companies stop at the first part — they publish a '99.9%' number on their pricing page and hope no one asks how it's calculated. Enterprise buyers always ask.

Uptime Commitment Tiers

Common tiers are 99.5% (Standard), 99.9% (Business), 99.95% (Enterprise), and 99.99% (Premium). Each tier roughly corresponds to a 10x reduction in allowable downtime per year. Don't commit to a tier you can't measurably hit — under-promise and over-deliver.

Exclusion Definitions

Be explicit about what's excluded: scheduled maintenance (with required notice period), force majeure, customer-caused issues, and third-party dependencies. Vague exclusions get you sued; precise ones build trust.

Service Credits

Define a clear credit schedule — e.g., 10% credit for breaching 99.9%, 25% for breaching 99%, 50% for breaching 95%. Credits should be automatic and applied within one billing cycle. Manual claim processes signal that you don't want to pay them.

Reporting Cadence

Publish monthly uptime numbers — not quarterly, not annually. Enterprise customers expect a per-tenant uptime report on their dashboard or a monthly PDF in their inbox. Anything less feels evasive.

Calculating Real Uptime Percentages

True uptime calculation requires continuous monitoring from multiple geographic regions with statistical rigor. A single check every 5 minutes from one US-East datacenter gives you a number that's mathematically meaningless — you're sampling 288 times per day out of 86,400 seconds. FourSight runs checks every 30 seconds from four global regions and uses quorum-based consensus to eliminate false positives, giving you 11,520+ data points per day per monitor.

💡 If you claim 99.9% uptime but check once every 5 minutes, your monitoring resolution can't distinguish 99.9% from 99.5%. Buyers know this. Match your check frequency to the precision of your SLA promise.

Uptime % = (Total Minutes − Downtime Minutes) / Total Minutes × 100

Tier        Yearly downtime    Monthly downtime    Daily downtime
99.0%       3d 15h 36m         7h 18m              14m 24s
99.5%       1d 19h 48m         3h 39m              7m 12s
99.9%       8h 45m 36s         43m 49s             1m 26s
99.95%      4h 22m 48s         21m 54s             43s
99.99%      52m 33s            4m 22s              8.6s
99.999%     5m 15s             26s                 0.86s

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What Counts as Downtime

Defining downtime is harder than it looks. A 500 error is obviously down. A 200 response in 30 seconds is technically up — but is it really? The industry standard is to count any response time above 10x your normal p95 latency as a degradation event, and any response above 30 seconds as downtime. Multi-region quorum matters here too: if 1 of 4 regions sees a 500 but the other 3 see 200s, that's a regional network issue, not your downtime.

Hard Failures vs Degradations

Hard failures (5xx, timeouts, connection refused) always count. Degradations (slow responses, partial functionality) require a defined threshold. Publish both numbers separately.

Regional Issues

If a single region fails consistency checks but others pass, that's typically a network issue affecting probes, not your application. Quorum-based monitoring filters these out automatically. Without quorum, you'll over-report downtime by 20-40%.

Building Trust with Public Status Pages

A public status page is your single most powerful sales asset for reliability. It signals to prospects that you measure your uptime, that you communicate during incidents, and that you have nothing to hide. Companies without status pages look amateur to enterprise buyers. Include historical uptime charts spanning at least 90 days, real-time component status, an incident archive, and a subscription mechanism for proactive updates.

💡 Companies with public status pages see roughly 40% fewer support tickets during incidents because customers self-serve their status questions instead of opening a ticket.

Automating SLA Reports

Manual SLA reports are error-prone, time-consuming, and the first thing to slip when the team is busy. Use FourSight's API to pull historical uptime data and generate automated monthly reports for your enterprise customers. Include per-endpoint breakdowns, regional performance data, incident summaries, and a clear pass/fail against the contracted SLA tier. Send the reports on a fixed calendar day each month — the predictability itself signals operational maturity.

Report Element	Standard Tier	Enterprise Tier
Monthly uptime %	Yes	Yes (per-endpoint)
Regional breakdown	No	Yes (4 regions)
Incident timeline	Summary	Full post-mortems
P50/P95/P99 latency	No	Yes
SLA credit calculation	Manual	Automatic
Delivery	Status page	Status page + PDF email

Handling SLA Breaches Professionally

Downtime happens. When it does, your response matters more than the incident itself. The companies that retain customers after breaches are the ones with a clear SLA credit policy applied automatically, proactive status-page communication, and thorough public post-mortems within 5 business days. Customers don't expect perfection — they expect honesty, accountability, and visible improvement.