CASE STUDIES

Systems that run without us.

Not demos or pet projects — real platforms in production. What it was, what we built, what it delivered.

case_01 GPU · PLATFORM

GPU rental marketplace

Problem. The client needed a platform that connects third-party GPU machines, hands them to customers for workloads, and takes over all accounting and billing.

Solution. A system of 10 services: node registration, job orchestration, usage metering, automatic billing and a control panel. All containerized, with monitoring and self-recovery.

Dockerdocker-composePythonFastAPIPostgreSQLGrafananginx
10 services acting as one
24/7 monitoring of nodes and jobs
auto billing and GPU-hour metering
case_02 SELF-HEALING

A website that repairs itself

Problem. A stretch goal: the site had to survive complete loss of its server with zero human involvement.

Solution. Monitoring detects the outage → a script rents a new VPS → cloud-init provisions the stack → a neural network fills the site with content → traffic switches over. The whole cycle takes about a minute.

Bashcloud-initOllamanginxPythonsystemd
~1 min from outage to a new server
0 manual steps during failure
AI content generated on the fly
case_03 MONITORING

Round-the-clock hardware watch

Problem. Dozens of physical devices across locations — issues had to surface before customers noticed.

Solution. A single health-check system with metrics and logs, Telegram alerts with severity levels. The on-call sees the problem in chat and reacts by runbook — often before any complaint.

VictoriaMetricsGrafanaTelegram BotPythonsystemd
24/7 continuous device monitoring
dozens of devices under watch
first we learn of failures before clients

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