Open infrastructure and sovereignty

Concretely: less lock-in, clearer cost, and the option to keep data and models under your own control.

When this is relevant

• You need to know how much of your stack is actually portable, and how much is not.
• Data residency, sovereignty or regulation constrain where systems can run.
• Some workloads must run on-premise, in a private cloud, or fully air-gapped.
• You are weighing a managed platform against open-source alternatives.

Questions we help you answer

• What dependencies create lock-in, and what must remain portable?
• Which open-source options are genuinely viable for your case?
• Where should data live, and who must be able to control it?
• What does a credible sovereign or air-gapped deployment actually require?

What we do

• Map cloud and AI-infrastructure dependencies and lock-in.
• Compare open-source and managed options against real constraints.
• Design and deliver portable, sovereign and air-gapped architectures, including local model deployment.
• Deliver on open, sovereign cloud, and as a Huawei Cloud reseller when it fits the case.

Typical outputs

• Dependency and lock-in map.
• Reference architecture for a portable or sovereign deployment.
• Infrastructure decision memo with open-source and delivery options.

What we do not do

• No "open" label without portability to back it.
• No sovereignty claim that a real audit would not survive.
• No lock-in hidden inside a recommendation.

Related evidence

Our own site is a static, self-contained build with no runtime dependency on its sources, documented on the site engineeringpage. On the blog,An open-source, composable commerce architectureshows how we assemble open-source building blocks in practice, andInfrastructure-as-Code to power composable commerce AI modulestakes the same stack down to reproducible provisioning.