Creating a Kubernetes cluster takes an afternoon. Keeping it upgraded, secure, observable and affordable is the hard part, and most teams have nobody who owns it. aalgo takes care of that day-2 work, on the cloud you already use or a European one.
See the services What day-2 coversMost clients start with an audit. You get a clear report either way, and you decide what happens next.
One-off, fixed price
A security, cost and reliability review of your clusters, with a prioritised report you can act on with or without us.
Project, fixed price
Fix what the audit found, or move your workloads onto a clean, GitOps-managed setup.
Retainer, per cluster or environment
We keep the platform current and healthy, so your engineers ship product.
Support runs 24/7, every day of the year, with written response times by severity. When something breaks at 3 a.m., someone who knows your cluster answers.
The work that starts after kubectl get nodes works, and never really stops.
Kubernetes ships about three minor releases a year, each supported for roughly a year. Fall behind and every upgrade gets riskier.
Controls that hold up, and the evidence your auditor asks for.
Know before your users do, and learn something from every incident.
Over-provisioned nodes and forgotten clusters are common. The savings often cover the fee.
One standard way to deploy, so developers stop asking how.
A restore you have tested is the only backup that counts.
Teams that adopted Kubernetes but don't have someone who truly owns it.
European companies that need clusters on European providers such as OVHcloud, Scaleway, Hetzner or IONOS, with compliance evidence to match.
Roughly 20 to 200 engineers, growing fast, with infrastructure handled "by whoever has time".
Clusters in your own data centre, or split between it and the cloud. Harder work, and we like it.
Standard, open tooling and a lot of automation, so you get senior attention without paying for busywork.
Argo CD, Flux, Prometheus, Grafana, Kyverno, Velero, OpenCost. If we part ways, everything stays yours and keeps working.
Every client runs on the same tested templates, adapted to you. Fewer surprises, faster fixes.
Automated analysis of manifests and cluster config, upgrade-impact checks, incident summaries from logs, draft postmortems. Always reviewed by a human.
Some workloads don't need Kubernetes. If a simpler managed platform fits you better, we'll tell you.
The same discipline applied to language models: they run as first-class, observable services of your cluster.
Open models on your own GPUs when data must stay in-house or volume makes APIs expensive.
Claude, OpenAI and others, behind your own interfaces so you can switch.
Latency, throughput, token cost and errors on the same dashboards as everything else.
A multilingual marketplace, built from scratch and run on Kubernetes, with LLM workers at its core.
A fixed-price review of your clusters, with a prioritised report you keep whatever you decide next. aalgo works with in-house teams, scale-ups and regulated companies across Europe.