SaaS uptime monitoring

Practical monitoring workflows for SaaS teams.

SaaS uptime monitoring with HTTP, ping, TCP, content, SSL certificate, and heartbeat checks, alerts, and public status pages in one Sandglass workspace.

What this team needs to watch

A SaaS product fails in pieces long before it fails completely. Sign-in can break while marketing pages stay green, the API can slow under load while the dashboard renders, and a billing webhook can silently stop. Monitoring has to follow the surfaces customers log in to, not just whether the homepage answers.

  • Authentication, dashboard, API, and billing each need their own check.
  • Background jobs that send invoices and emails fail quietly without a heartbeat.
  • Multi-tenant outages often hit one region or plan tier first.

How Sandglass covers it

Put an HTTP check on the login and dashboard URLs, a content check on an authenticated health route, and heartbeat checks on the background workers that send onboarding and billing events. Use groups to keep the customer plane separate from internal tooling.

  • Group checks by service, environment, or client so production alerts stay separate from staging noise.
  • Combine HTTP, ping, TCP, content, and SSL certificate checks to match each failure mode you care about.
  • Add heartbeat checks for scheduled jobs that no customer watches directly but everyone depends on.

Where teams get it wrong

Do not treat a 200 on the marketing site as proof the app works. The pages that earn revenue are behind authentication, and those are exactly the ones a homepage check never touches.

Implementation checklist

Step 1: Map the customer-facing surfaces

List the endpoints, jobs, and components where an outage would reach the people you serve. Keep the first pass to production.

Step 2: Pick one check per failure mode

Use HTTP or content checks for web surfaces, TCP for raw ports, SSL certificate checks for HTTPS expiry, and heartbeats for scheduled work.

Step 3: Separate environments with groups

Put production, staging, and per-client checks in their own groups so routing and noise stay under control.

Step 4: Tune after the first week

Adjust intervals and retry counts once real data shows which alerts were signal and which were noise.

Frequently Asked Questions

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