For the CTO and the head of operations
Every few seconds we measure the Linux machines your system runs on and alert you when something starts to go wrong. Nothing is modified on the server.
You get alerts with thresholds agreed with you and a dashboard with each machine. The scope and the setup timeline are in writing before we start.
Updated on
You don't need it if your team already watches its servers and responds to alerts. And today we only cover Linux: Windows and macOS are out of scope.
On launch day everything works. Weeks later the disk fills up, a container restarts in a loop or a certificate expires. Almost every outage gives warning first: memory climbs, the disk grows, response times get worse. If someone measures it continuously, it shows before anyone feels it.
More than 125 control points
In 30 minutes we look at what machines you have and what cannot stop. Then you get in writing what is watched and the setup timeline.
The measurement runs on each machine and we agree the threshold for each alert with you. Monitoring changes nothing on your servers.
We alert you with the data point that triggered the alert, and we review with you which alerts repeat and why.
Priority: Medium
Disk filling at a steady rate
An example of the report format, not a client's.
Shall we talk about your case?
A 30-minute meeting to see what you have and what to review first.
All three are useful, each for one thing. AI brings the volume and people bring the judgment: that is why our review uses an automated AI tool and senior developers supervise it.
The review is done by a team of senior developers, with many hours of development and of finding the mistakes AI makes when it codes. We know more than 1,200 review points. The automated AI tool goes through them, and people verify, direct and review.
Team of senior developers
José María Salido, founder of Sondeon, answers for it
It is continuously measuring the state of the machines your software runs on: CPU, memory, disk, containers and certificates. It lets you see that something is starting to fail before the service stops.
Linux servers, with or without Docker containers: CPU, memory, disk, containers and certificates. Windows and macOS are not covered.
Zabbix and PRTG are tools: someone on your team installs them, tunes the thresholds and watches the alerts. Here we handle the measurement, the thresholds and the review of repeating alerts together with you.
We need access to each Linux server and to agree the thresholds with you. It has no noticeable effect: each measurement takes under half a second, measured on a production server with dozens of containers.
We alert you with the data point that triggered it. Monitoring measures and alerts, and changes nothing on your servers. The fix is separate: your team applies it, or we do only if you ask.
The 30-minute meeting is free. The rest depends on how many servers are included and on the alerts we agree on, and it is settled in writing. It does not replace one: it is a continuous health check that measures CPU, memory, disk, containers and certificates every few seconds and alerts you when the trend changes.
Flutter apps built with AI, tested on real iOS and Android phones by command and with touch gestures, together with their backend.
Your website's performance, visibility in search engines and in AI assistants (SEO and GEO), accessibility and security, measured on the real page.
The server side behind your app or your website: what the API exposes, what it protects, what headers it serves and what ends up in its logs.
PostgreSQL, Redis, Elasticsearch and RabbitMQ, in read-only mode: structure, indexes, slow queries, locks and connections.
The server your system will run on, reviewed before you go live: who has access, what runs on it and which limits break as you grow.
Every call to your API measured, with its latency, its error and the screen that requested it, so you know which endpoint to optimize before traffic grows.
Fill in the form and we email you to set a day and a time. It is 30 minutes to see what you have and what to review first.