API uptime monitoring

Practical monitoring workflows for API teams.

API 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

An API has no human watching it render. Its users are other programs that retry, time out, and eventually fail their own customers. The useful signal is whether documented endpoints return the right status, the right shape, and an acceptable latency under real conditions.

  • Assert on response shape, not just a 200 status.
  • Certificate expiry on the API host takes everything down at once.
  • Latency creep often precedes a hard failure.

How Sandglass covers it

Run HTTP checks against representative endpoints, add content checks that assert a known field in the JSON response, and put SSL certificate checks on the API hostname so an expiring certificate never becomes a surprise outage.

  • 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

A reachable port is not a working API. A check that only confirms a TCP connection will stay green while the service returns 500s, so assert on the response body, not just the handshake.

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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