Uptime monitoring for healthcare software

Practical monitoring workflows for healthcare software teams.

Uptime monitoring for healthcare software 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

Healthcare software is used at the point of care, where a slow portal or a failed appointment lookup directly affects a person’s day. Availability of the patient-facing and clinician-facing surfaces is the signal, and degraded counts as down.

  • Patient portal and scheduling are the surfaces that hurt when down.
  • Record-sync integration jobs need heartbeats, not just web checks.
  • Certificate failures damage trust the moment they appear.

How Sandglass covers it

Put HTTP and content checks on the patient portal and scheduling endpoints, add SSL certificate checks because expired certificates erode trust instantly, and heartbeat the integration jobs that sync records between systems.

  • 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 assume an internal system is fine because no ticket arrived. Clinical staff often work around a broken tool silently, so a missing alert is not the same as a healthy system.

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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