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The selection of cloud infrastructure represents a critical strategic decision with long-term implications for data governance, operational stability, and compliance. For organizations operating in or serving European markets, European-based providers offer distinct advantages worth systematic evaluation.
European organizations predominantly operate under a restricted cloud paradigm: AWS/Azure or on-premises. This framing—reinforced by high-profile cases like Basecamp’s repatriation—has unfortunately excluded viable European cloud service provider alternatives.
The “multi-cloud” concept has been redefined through marketing to mean only AWS-Azure combinations, though sometimes including GCP or Baidu. This narrowing serves hyperscaler interests while obscuring legitimate European providers offering:
Reviewing the offerings from EU providers shows performance equivalence for containerized workloads, eliminating historical technical objections.
European providers like OVHcloud, Deutsche Telekom, and Orange Business Services operate outside these jurisdictional conflicts. The European Commission now explicitly advocates reducing critical infrastructure dependencies on non-EU providers, with Commissioner Breton already in 2020 highlighting the importance of a European digital infrastructure.
European cloud providers typically present different cost profiles than US-based alternatives:
Critically, European providers often eliminate unpredictable data transfer fees between regions, enabling more accurate forecasting and potentially lower total cost for data-intensive workloads.
Support structure quality fundamentally affects incident response capabilities and operational efficiency:
Organizations should evaluate support SLAs with particular attention to:
European providers have historically lagged in certain technical capabilities but have closed gaps in key areas:
AdaLab’s Kubernetes solution is fully set up for you, solving common issues like slow performance, resource bottlenecks, and Kubernetes configuration and management. It’s designed to scale easily, letting you focus on your projects instead of the infrastructure.
AdaLab makes it simple to create and share custom kernels. These stable, reliable environments can be tailored to each project, and you can create as many as you need, ensuring consistency across your team.
With AdaLab’s secure, cloud-based structure, data protection is built-in. Each user’s environment is isolated and hard to access from outside, adding a solid layer of security for teams with sensitive data.
Reach out to see how we can support your team’s growth and get your Jupyter environment ready for the next level!
