The problem you're facing
Many providers "know Kubernetes" from deploying it once or reading the docs. The difference shows at the first real incident: a pod in CrashLoopBackOff, a NotReady node, an Ingress no longer routing : and there, either you know, or you search the Internet while your production is down.
Our answer
We administer production clusters: upgrades, hardening, monitoring, troubleshooting, scaling. We design Kubernetes architectures adapted to your context : and we can operate the cluster for you, or train your teams to.
What LaMeDuSe takes care of
- Cluster architecture adapted to your context
- Hardened deployment and configuration (RBAC, NetworkPolicies, PSA)
- Complete monitoring (Prometheus, Grafana, Loki)
- Planned and tested upgrades
- Backups and restore (Velero)
- Troubleshooting by SREs who run their own clusters
- Optional training and knowledge transfer
Our methodology
- 1
Context audit
Understanding of how you use the technology: volumes, constraints, existing setup and goals.
- 2
Tailored architecture
Argued recommendations, adapted to your context rather than copied from a textbook case.
- 3
Implementation
Deployment, configuration and industrialisation by teams who run the same stack in production.
- 4
Skills transfer
Documentation, reviews and knowledge transfer so your teams gain autonomy.
Relevant technologies
Security
Every implementation follows our hardening standards: baseline configuration, managed secrets, monitoring and backups.
Hosting & infrastructure
We operate these technologies on our own European infrastructure: expertise is proven by operations, not by certification.
Maintenance
Version tracking, security watch and support by the teams who administer the same stack every day.
Why LaMeDuSe
Our own services, hosting, client platforms, internal tools, run on Kubernetes in our European datacenters. Every problem we know how to diagnose, we met on our own clusters first.
Frequently asked questions
Depending on your context: our managed cluster if you want to delegate operations, kubeadm on your servers if you keep control, a hyperscaler's managed offering if you're already there. We administer all three : the recommendation follows your constraints, not our preferences.
Planned cycle: release notes review, staging environment test, node-by-node updates (drain, upgrade, rejoin), load validation between each. Deprecated API versions are handled before, not after.
Yes: configuration, security (RBAC, exposures, secrets), workload health, monitoring, backups. The report prioritises real risks : not a generic list of best practices.
Yes: hands-on training on your cluster or ours, with real operations (deploy, debug, upgrade) rather than slides. The goal is your teams' autonomy, not dependency.