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Sondeon

AI-built software

Infrastructure monitoring: see the problem before your customers do AI leaves you a running system, and nobody watching

We watch the machines your system runs on, around the clock, and alert you when something starts to go wrong, not once it is already down.

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The model

On launch day everything works. That is the model. Weeks later the disk fills up, a container restarts in a loop or a certificate expires, and you hear it from a customer.

Shall we talk about your case?

A 30-minute meeting to see what you have and what to review first.

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Hearing it from a customer is hearing it too late

Almost every outage warns you first: memory climbs, the disk grows, latency worsens. If someone measures it continuously, it gets fixed before anyone notices.

What we do

What we watch

  • Machine CPU, memory and load
  • Disk per mount, and what keeps growing
  • Containers: usage, restarts and health
  • Certificates, system services and clock
  • Kernel networking
  • What happens inside the data engines
  • Trend changes in every metric
More than 60 control points

What you receive

What you receive

  • Alerts on thresholds agreed with you
  • A dashboard with the status of every machine and container
  • The history of every metric
  • The quarterly summary within the controller
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Two ways to work with us

Review a new system once before it ships, or keep everything under control every three months.

Before production

Review a new system

Send the app, website or database you built with AI and get every gap with its fix before you deploy.

  • One-time review
  • Security, database and performance
  • Fix plan before go-live
Request a pre-production review

Every three months

Keep it all under control

We review your code, servers and data platforms each quarter: broken flows, idle users and costs.

  • Quarterly review
  • Broken data flows and unused licenses
  • Before and after report each quarter
Start the quarterly controller

Frequently asked questions

Which systems can be monitored?

Linux servers, with or without Docker containers. Windows and macOS are not covered.

Does it affect server performance?

Not noticeably. Each measurement takes under half a second, measured on a production server running dozens of containers.

What happens when an alert fires?

We notify you with the data point that triggered it, and in the quarterly controller we review with you which alerts repeat and why.

Book a meeting

Tell us what worries you. In the meeting we explain how we solve it.

We only use your details to answer this request.