Part three of our mini-series on the most common objections to switching from a hyperscaler to a sovereign cloud: How much in-house expertise is actually required to productively use cloud infrastructures and k8s platforms?
The demands on IT infrastructures are growing. Companies of all sizes face the task of making their systems more scalable, resilient, and independent. Sovereign cloud platforms and Kubernetes are no longer niche topics. The need is clear. The direction is right. And yet, many projects stall before they have even begun.
The most common reason for delayed or abandoned cloud projects is not budget, lack of will, or wrong technology choice. It’s this one objection that keeps coming up in meetings: “We simply don’t have the necessary in-house expertise for that.”
Behind this often lies not just an assessment of the technical capabilities within the company: it’s the fear of taking responsibility for systems that could overwhelm one’s own team. Specialists with Kubernetes expertise are hard to find. Existing teams are at capacity. And introducing a platform that no one internally fully masters? In the worst case, one risks an operation that is more fragile than what it was supposed to replace.
The consequence: Decision-makers postpone projects indefinitely. The gap between what would be technologically possible and what is actually implemented continues to grow.
What does this mean specifically for companies that aspire to cloud architectures but (still) lack the internal resources? The answer lies not in waiting, but in rethinking. The crucial question is not “Do we already have sufficient internal expertise?”, but:
“Which parts of the responsibility do we want to bear ourselves – and which do we consciously delegate?”
Tiered operating models, ranging from “mostly self-managed” to “fully managed,” allow for this differentiation. They make it possible to productively use cloud infrastructures and Kubernetes platforms – and simultaneously build internal knowledge to the extent that it fits one’s own strategy.
Those who aim for greater independence in the medium term or generally desire a high in-house share in operations need close cooperation with the cloud provider. A model where platform and knowledge are built together is ideal here:
Instead of a cold start or “do it yourself,” a controlled knowledge transfer takes place. The team does not remain a consumer of a black box but grows with the platform and can take on more and more tasks themselves in the long term.
Another building block is direct collaboration with experienced cloud architects. Especially at the beginning, their expertise offers significant added value:
The internal team is involved from the beginning, without having to bear the complete responsibility for architectural and design decisions alone. The discussion shifts from “We can’t do that yet” to “How do we sensibly distribute roles and responsibilities?”
For organizations that want to relieve resources or consciously outsource operational responsibility for IT solutions, a fully managed platform is the most pragmatic approach. The operational risk lies with the provider – not with the internal team. Typical components:
This allows the internal team to focus on applications, business logic, and processes, instead of dealing with control planes or cluster updates. Kubernetes is used productively, without the need to understand all the details in depth or to expensively build up internal expertise beforehand.
Lack of internal expertise is not an argument against the cloud: it is the starting point for an honest discussion about how operations, responsibility, and knowledge building can be sensibly organized. Companies that address this question together with the right partner realize: Getting started was never the problem. Only the right model was missing.
We operate our cloud and colocation platform in our own data centers in Frankfurt am Main.
We would be happy to advise you.
