This blog is aimed at engineers, developers and architects who want to understand how our systems actually work. We share our technical challenges, architectural decisions and the concrete solutions deployed in production.
A pragmatic approach to architecture, AI and sovereign cloud, documented by the people who design and operate them.
What we build here
Here, we lift the bonnet.
We break down our architectures, pipelines, stack choices and the technical trade-offs required to run critical services at scale. We talk about real systems running in production.
- Architecture deep-dives
- Internal benchmarks
- Major refactors and migrations
- Performance optimisation
- Incident management and post-mortems
- Post-deployment feedback
The goal is to document rigorous engineering, grounded in full control of our infrastructure and a sovereign vision of the cloud.
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The technologies we love
Infrastructure & scalability
Hardened Debian environments, Openstack clusters, large-scale LAMP architectures, Kubernetes and automation with Terraform, Ceph storage, Puppet and Ansible, internal tooling in Go, Python and Shell, observability with Prometheus, Grafana and Victoria Metrics, monitoring with Zabbix, messaging with Kafka and RabbitMQ.
Backend & data
Laravel, MariaDB / MySQL, ClickHouse, Redis, Elasticsearch, API and event-driven architectures.
AI & performance
Inference with vLLM, TGI and TensorRT-LLM, GPU optimisation, infrastructure constraints for large-scale models, data governance and control.
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What we stand for
Our technology decisions are driven by measurable performance, production resilience, security and digital sovereignty.
Each article is written by the people who implemented the solution. With metrics, deliberate trade-offs, sometimes mistakes and above all what we learned from them.