
For a SaaS business, downtime isn't just a technical inconvenience — it's a direct cost. Subscribers who can't access your product while they're paying for it notice, and some of them will start evaluating alternatives.
The companies that handle uptime best treat monitoring as a product concern, not just an ops concern. This guide covers what to monitor, how to structure it, and how to use monitoring data to protect your SLA commitments and your reputation.
A SaaS product has more surfaces to monitor than a simple website:
Each of these can fail independently. A SaaS incident where the core application is down while the marketing site is fine is invisible to your monitoring if you only check the homepage. Real SaaS monitoring covers the entire customer journey.
Your marketing site going down stops new signups and damages brand perception. Add a monitor for your homepage and — critically — your signup page. A broken signup flow loses customers before they ever use your product.
What to check:
/account/create/)The most important thing for your existing customers is whether the application works. A dedicated health check endpoint is the standard approach:
@app.route('/health')
def health_check():
# Basic check: is the app responding?
return {'status': 'ok', 'timestamp': datetime.utcnow().isoformat()}, 200
A more comprehensive health check tests the database, cache, and any critical dependencies:
@app.route('/health/deep')
def deep_health_check():
checks = {}
try:
db.execute('SELECT 1')
checks['database'] = 'ok'
except Exception as e:
checks['database'] = str(e)
try:
cache.ping()
checks['cache'] = 'ok'
except Exception as e:
checks['cache'] = str(e)
status = 'ok' if all(v == 'ok' for v in checks.values()) else 'degraded'
return {'status': status, 'checks': checks}, 200 if status == 'ok' else 503
Point a monitor at this endpoint and you get meaningful signal: not just "is the server running?" but "is the application actually working?"
If your SaaS offers a public API, your customers' integrations depend on it. Monitor your key API endpoints:
GET /api/v1/resources)For more detail, see monitoring AI API endpoints — most of the principles apply equally to SaaS APIs.
Many SaaS products rely on background processing: sending emails, generating reports, processing uploads, billing runs. When these fail, users don't always notice immediately — but the effects compound.
Monitoring scheduled tasks specifically is different from monitoring endpoints. See how to monitor cron jobs for the heartbeat monitoring approach that works well here.
Your product probably depends on external services — payment processors, email delivery APIs, AI services. If Stripe goes down and your billing fails, if your email provider has issues and password reset emails don't send — these are your problems even though you didn't cause them.
Monitor your integration points, not just your own infrastructure.
Check frequency — For a SaaS product, check critical endpoints every minute. The difference between knowing about downtime in one minute versus five minutes matters significantly for response time and customer impact. See how to choose monitoring check frequency for guidance.
Multi-location monitoring — Check from multiple geographic locations. A routing issue or regional outage might affect only some of your users. Domain Monitor checks from multiple global locations on every check, so you know immediately if it's a regional problem.
Alert routing — Critical application monitoring should alert your on-call engineer immediately. Marketing site monitoring might alert a wider team. Configure different alert channels for different severity levels. See how to set up downtime alerts for alert configuration options.
Response time thresholds — Uptime isn't binary. A page that loads in eight seconds is technically "up" but unacceptably slow. Set response time thresholds alongside uptime checks.
If your SaaS offers an SLA (service level agreement) — a contractual commitment to a certain level of availability — your monitoring data is the evidence that demonstrates whether you've met it.
Calculate your SLA percentage from real monitoring data rather than server-level metrics. Server availability isn't the same as application availability. A server that's running but serving errors isn't meeting an SLA.
For a full explanation of how to interpret and report on uptime, see how to interpret uptime reports and uptime SLA guide.
Every SaaS product above a certain scale should have a public status page. It serves several purposes:
See how to communicate website downtime for how to handle incident communication effectively, and how to create a public status page for setup.
Domain Monitor is built for exactly this use case: SaaS applications that need reliable, multi-endpoint monitoring with immediate alerts and a clear uptime history.
Create a free account and add monitors for:
You'll have comprehensive coverage set up in under ten minutes, with immediate email alerts for any failures and a dashboard showing uptime history for each endpoint.
For a comprehensive overview of what else to put in place before launch, see website monitoring checklist for developers.
Generative AI creates new content — text, images, code, and more. This guide explains how it works, what tools are available, and where it's genuinely useful versus overhyped.
Read moreCursor AI is an AI-powered code editor built on VS Code. Learn what it does, how it works, and whether it's the right tool for your development workflow.
Read moreClaude Opus is Anthropic's most capable AI model, built for complex reasoning and demanding tasks. Learn what it does, how it compares, and when to use it.
Read moreLooking to monitor your website and domains? Join our platform and start today.