Hawatel

There are only two ways to discover system dependencies:

👉 Map them intentionally
👉 Discover them during a failure

One costs engineering time. The other costs money, and reputation.

Prove us wrong.

"75% of IT teams in UK have experienced an outage caused by a missed alert in 2025,” ITPro.com recently reported.

And that’s the moment when it’s worth asking an uncomfortable question:

Is the real problem actually a lack of monitoring ❓️

In most enterprise environments, there’s already more data than anyone can realistically handle.

The problem becomes:

📉 noise instead of signal
🔗 lack of correlation
👤 unclear ownership
🔔 dozens of tools firing alerts independently of each other

As a result, teams stop responding proactively. Not because they don’t have alerts, but because they stop trusting them.

That’s what operational blindness looks like.

How do you deal with alert fatigue in your environment?

Your company has IT monitoring, so why you don’t have visibility?

Most enterprise environments look “under control” — multiple monitoring tools, dashboards, alerts, until something breaks.

Then suddenly:
- there’s a lot of data
- but no clear answers

That’s the difference no one talks about:

👉 Monitoring ≠ operational visibility

You don’t need more data. You need a way to understand what it actually means.

Full breakdown on our blog: https://hawatel.com/en/blog/why-do-enterprises-have-it-infrastructure-monitoring-but-still-lack-operational-visibility/

Your monitoring checks if the server is alive. But who checks if the user can actually log in? 👤

That's exactly the gap synthetic monitoring fills.

It doesn't wait for production traffic. It doesn't wait for a customer complaint.
Every so often, every minute it can open the page, fill out the form, click the button, and verify it got the right response back. 🔁

In practice, it works across three layers:
👉 Simulated transactions — scripts mirroring real user flows: login, search, order completion. Every step verified for response correctness, not just availability.
👉 HTTP/HTTPS checks — cyclic endpoint verification. The simplest layer, but already catches certificate errors, redirects, timeouts, and downtime.
👉 Web scenarios — multi-step tests of complete business flows: from opening the page, through filling out the form, to confirming the operation.

The difference from classic infrastructure monitoring is fundamental: instead of asking the server "are you alive?" — synthetic monitoring walks the user's path itself and checks whether it reached the destination.

It runs in the middle of the night. 🌙 At zero traffic. Before anyone hits the problem.

Does your monitoring check the server or your customers?