An alert that reaches a named person beats a dashboard nobody was watching.

A server container may report normal uptime and no logged errors while conversions quietly stop reaching one ad platform. We monitor the delivery and consent signals that affect decisions, not only whether the server is running. You end up with alerts that surface a broken destination or consent mismatch before the numbers prompt an investigation.

Plan monitoring setup All Server-Side Tracking & First-Party Measurement tasks

Some of the 500+ brands we've worked with

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Each check traces back to a destination, signal, or consent state that matters to the business. The setup moves from critical signals to thresholds, routing, and a controlled failure test.

How we hold ourselves to it

Start from the decisions that actually matter — We map only the destinations and signals that inform a real decision.
Verify that data reaches each destination — We confirm data actually lands in GA4, ad platforms, and your warehouse, since a server ping alone can't prove that.
Check for quiet consent and schema failures — Wrong consent states and missing fields may not produce errors. We add checks for these silent failures, including gaps in the event fields your data layer should send.
Route every useful alert to an owner — Thresholds and routing give the person responsible enough context to investigate without burying them in noise.

Map what matters
We identify the destinations and signals whose failure would actually affect a decision your business makes. You confirm which destinations actually matter.
Monitoring priority list
Set thresholds
We define what "broken" looks like for each signal, based on your actual traffic patterns. You approve the threshold before it goes live.
Threshold definitions
Configure alerts
We wire up the checks and route alerts to the right person with enough context to act on them. You confirm the alert reaches a real owner.
Alert configuration
Rehearse a failure
We simulate a safe failure to confirm the alert actually fires, reaches the right person, and gives them what they need. The on-call confirms the runbook step actually worked.
Rehearsal record

Monitor the failures that could change a decision

Automation ranks destinations by what a failure costs, suggests thresholds from your historical traffic, drafts the alert rules and routing, and logs whether the rehearsed failure was actually caught. The approvals are yours: which destinations matter, whether a threshold is right before it goes live, and confirmation that the alert lands with a person who is watching.

You receive monitoring rules, response instructions, and evidence that the alert reached its owner.

Configuration record
Monitoring configuration
What's being watched, at what threshold, and why it matters for a real decision.
Runbook
Alert runbook
The response for each alert, including where to look first and who else to involve.
QA notes
Rehearsal evidence
Proof from a real test that the alert fires and reaches the right person.

We call it done when: a controlled failure has fired the alert inside the expected window, reached a real on-call owner, and the runbook step they followed worked.

You'll know this is missing the first time a number looks wrong for weeks before anyone notices.

A good fit when

Basic uptime stays green, but a critical server-side pipeline can stop delivering conversions to one destination without raising an alert.
Broken tracking reaches a stakeholder days or weeks after the failure began, so the team starts with suspicious numbers instead of a routed alert.
An alert says that something broke, but it does not name the failed signal, affected destination, or first runbook step.

A watchkeeper at a wall of gauges with one alarm bell and steady signal lines

Better handled as other work when

The server-side infrastructure has not been built yet, so Server-Side GTM & Cloud Setup must establish the container before monitoring can cover its destinations.
You need warehouse-level monitoring for transformations after data lands. That requires a broader analytics engineering scope.

If one of these is closer to your situation, start here instead: All Server-Side Tracking & First-Party Measurement tasks

We call it done when: you have named which destinations actually matter, so the monitoring covers decisions rather than every endpoint that exists.

Zeo designs measurement systems that connect a business decision to governed collection and reporting you can check. The people shown here work on the part of that system this page covers.

Google Tag Manager
the server container whose per-destination logs get watched, not just its uptime
Google Tag Assistant
confirms the drill worked by showing what actually happened during a rehearsed failure
Datadog
where the priority map from step one becomes an actual alert someone gets paged for

Tell us which destinations matter most. We will set up focused monitoring, route each alert to an owner, and rehearse a real failure.

Plan monitoring setup

Is server uptime monitoring enough?

No. The server can remain available while data stops reaching a destination correctly. Uptime alone does not verify delivery, consent state, or payload quality.

How do you prevent noisy alerts?

Thresholds come from your traffic history, so a normal seasonal spike doesn't get flagged as a failure. We also test typical traffic swings before the alert goes live, so legitimate changes are less likely to trigger false alarms. Before launch we rehearse an actual failure and confirm the alert reaches the named owner within the expected window. If an alert turns out too noisy in practice, we adjust the threshold and try again.

What happens after an alert fires?

The on-call owner follows a runbook that points to the first checks for the failed signal, so the investigation does not begin from scratch.

What access and decisions do you need?

We need access to the server container's logs and metrics, plus a named alert owner and the agreed routing method, such as email, Slack, or a paging tool.

By team

By industry

By tool

Server-Side Monitoring & Reliability

Turn a priority map into an alert the team has rehearsed

Map what matters

Set thresholds

Configure alerts

Rehearse a failure

A runbook backed by a failure rehearsal

Monitoring configuration

Alert runbook

Rehearsal evidence