Uptime monitoring for agencies

Practical monitoring workflows for agencies.

Uptime monitoring for agencies 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 agency runs many clients on different stacks, and a single outage can become an awkward client call hours later. The signal that matters is per-client clarity: which property is down, who owns it, and whether the client can already see it.

  • Groups keep each client and environment cleanly separated.
  • Per-account alert routing avoids paging the wrong team.
  • A client-facing status page demonstrates the work you already do.

How Sandglass covers it

Create a group per client, attach the right checks to each property, and route alerts to the team that owns that account. Publish a per-client public status page so the client sees proactive monitoring rather than hears about downtime from their own customers.

  • 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

Avoid one mixed dashboard for every client. When everything lands in the same place, incidents are slow to explain and easy to misattribute to the wrong account.

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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