Monitoring Is Not Watching: What Real System Monitoring Looks Like

Isometric illustration of a person at a large monitor showing dashboards and charts, surrounded by plants and books

By Roman Perich

Many companies say their systems are monitored. What they usually mean is that there is a dashboard — on a screen in the IT office, checked when someone remembers. That is watching. Monitoring is something else.

What has to be measured

Monitoring starts with the question: what would the business notice first? Usually not a CPU value, but a slow quotation, a failed import or an expired certificate. Those are the things to measure:

AvailabilityIs the system reachable — from outside, not only from the server room?
Response timesHow long a real user action takes, measured continuously
Failed jobsEvery workflow, import and export that did not finish
ErrorsError rates per function, not only total crashes
CapacityStorage, queues and limits — before they run full
Expiry datesCertificates, licences and API keys that are about to run out

Each of these needs a threshold, and each threshold needs a decision: what happens when it is crossed?

An alert is only useful if someone can act on it

If the first indication of a fault is a sales person reporting it, the system is not monitored. But an alert that reaches someone who can only forward it is not much better. The person who receives the alert must have the access and the knowledge to fix the problem — at any hour.

A man analysing charts and data on a large whiteboard in a bright office
Monitoring is not looking at charts. It is deciding in advance what happens when a value leaves its range.

That is also why we monitor our systems ourselves: the alerts go to the people who wrote the code. Why that matters is explained in Why In-House Hosting Is Like Building Your Own Aircraft.

The checks people forget

A dashboard tells you what happened. Monitoring tells the right person while it is happening.

Want monitoring that reaches people who can actually fix the problem? We build, run and monitor systems ourselves — and we know where automation pays off and where it becomes a risk.