Service
Observability & Monitoring
OpenTelemetry across your services and machines, into a stack you own, with dashboards generated from code and alerts that fire on things worth waking up for.
What I deliver
OpenTelemetry across your services and machines, into a stack you own, with dashboards generated from code and alerts that fire on things worth waking up for.
Technologies
OpenTelemetry for traces, metrics and logs, SigNoz or a comparable self-hosted backend, database and container metrics, and Traefik or your existing proxy at the front door. Retention set deliberately per signal rather than left wherever the default put it.
What to expect
Logs nobody reads and a dashboard nobody opens are not monitoring. What you want is to hear about a problem before a customer does, and to have enough context to find it in minutes. That means traces that cross service boundaries, and a small number of alerts that have each earned their place.
Case studies
Klaria: Sales & Operations Platform
An operations platform for a Norwegian cleaning company: sales pipeline, partner network, job dispatch and invoicing, with the infrastructure and observability underneath it.
High-Availability Cluster on Seven Servers
Clustered MySQL and PostgreSQL, a load balanced app tier, monitoring and alerting across seven dedicated servers, all built with Ansible, for a live platform that now runs on it at millions of requests a day.
Homelab Infrastructure as Code
Full homelab managed with OpenTofu: 5 VMs, 14 Docker stacks, secrets via Infisical, webhook-triggered deployments.
Contact
Tell me what you need
A couple of lines is enough. I reply within a day.
Bigger project? Use the full project form, with budget and timeline