Cloud infrastructure and DevOps
We design, build and run infrastructure on AWS and GCP, from a single VM to a Kubernetes platform with Kafka and IoT ingestion.
Most of our cloud work starts with a product team that has outgrown a hand-made server and needs infrastructure someone actually owns. We take that on end to end: architecture, provisioning, deployment pipelines, monitoring, backups and the day-to-day operation afterwards.
What we build
- Kubernetes platforms on Amazon EKS and Google GKE, including ingress, secrets, autoscaling and cluster upgrades.
- Managed data services: PostgreSQL and MySQL on RDS and Cloud SQL, MongoDB, InfluxDB for time series, Kafka for streaming.
- CI/CD on GitLab CI: build, test, deploy and roll back without a person touching the server.
- Networking: VPCs, VPNs to on-premise sites, DNS on Route 53, TLS everywhere.
- GPU and ML workloads: model serving, vector databases and data pipelines on the same platforms.
How we run it
Every environment is monitored and backed up before we call it done, and the runbooks live next to the code. We also look after classic infrastructure where it still makes sense: Debian and Ubuntu hosts, FreeBSD, nginx, VMware ESXi, and the high-load systems that run on them.
Typical engagements
A full platform build for a startup that needs EKS, Kafka and AWS IoT Core from day one; a GCP environment plus office network for a robotics company; or ongoing DevOps support for an established SaaS product. See the case studies for the details.