Research

A practical approach to digital sovereignty: assess dependencies in context, understand where control matters and make deliberate decisions at workload level.

Start by mapping where the workload relies on specific vendors, regions, platforms, data flows, operational teams, contracts and key management controls. Once these dependencies are visible, the conversation becomes practical: which risks are acceptable, which need mitigation, and which trade-offs the organization is willing to make.

Digital sovereignty is not one single question. The risks around data, operations and technology are different, and so are the controls they require. In this second blog, we unpack the three dimensions of sovereignty and the trade-offs between them.

The hardest part of cloud sovereignty isn’t choosing a provider. it’s understanding which dependencies truly matter before making irreversible decisions. Here’s how organizations can move beyond the hype, assess their real risks and balance control, compliance and innovation without defaulting to an all-or-nothing cloud strategy.

The hardest part of modernizing a legacy application isn't the rewrite, it's understanding what the old system actually does before you touch a single line of new code. Here's how AI can accelerate that discovery process, and why it only works with the right guardrails in place.

Optimizing AKS costs starts with visibility across clusters, namespaces, applications, owners, and resources. Combine HPA, KEDA, VPA, and Cluster Autoscaler with clear safeguards. Use spot nodes for interruption-tolerant workloads, rightsize CPU and memory based on historical data, and adjust node pools accordingly. Sustain savings through ownership labels, budgets, anomaly alerts, showback, and regular FinOps reviews.