The cloud has profoundly transformed the way organizations innovate, operate and grow.
According to Gartner analysts, global spending on cloud public are expected to approach 1,000 billion dollars in 2026, illustrating the scale taken by these infrastructures in the digital economy. But as digital infrastructures become more complex and geopolitical tensions reshape global balances, awareness is required: the control of data and digital infrastructures is becoming more than ever a strategic issue.
Because, if for a long time discussions around the cloud focused on gains in agility, scale or costs, companies and public institutions must today deal with a more complex reality. Reinforced regulations, technological dependencies, international circulation of data are in fact all factors that force them to rethink the way in which they design their digital architectures. The challenge for companies is therefore no longer just to migrate to the cloud, but to know how to regain control of their digital foundations while continuing to innovate.
Digital infrastructures have become extremely interdependent
Today’s digital systems rely on a dense ecosystem of services, platforms and data flows. Behind every critical application there is often a chain of dependencies that is much larger than it seems. For example, a simple request such as viewing an address, analyzing operational data or orchestrating an online service can mobilize APIs, data feeds or services hosted in multiple jurisdictions around the world. Over time, these dependencies accumulate and become difficult to map precisely.
And this complexity creates new operational risks. A service interruption, regulatory change or data localization constraint can have cascading effects on critical systems. Recent European regulations, such as NIS2 or DORA, reflect this development. They are no longer limited to the security of the systems themselves, but now look at the entire chain of digital dependencies, including suppliers and outsourced services. In this context, the ability of organizations to understand where their data resides, how it flows and who controls access becomes a key element of their resilience.
Place the right workload in the right place
Faced with these new challenges, a simple idea is gradually gaining ground in cloud strategies: not all applications have the same requirements, and not all are intended to be hosted in the same environment. Some workloads take full advantage of the power and elasticity of hyperscalers, while others require a higher level of control, compliance, or data localization.
Faced with these new constraints, organizations can no longer adopt a single approach to the cloud and must favor hybrid architectures, capable of combining several environments: public cloud, private cloud, local infrastructures or environments operated by regional partners. This approach is based on a simple principle: ‘the right workload in the right place’. In other words, align each application with the environment best suited to its operational, regulatory and performance requirements. In addition to compliance, this strategy also helps avoid situations of over-reliance on a single vendor and leverage the strengths of different technology ecosystems more effectively. But to place each application in the most relevant environment, it is still necessary to understand precisely what data it manipulates and what constraints are associated with them.
Know and manage your data
An effective cloud strategy starts with a detailed understanding of the data itself. Many organizations still struggle to correctly classify their data and map their flows. In some cases, all information is considered highly sensitive as a precaution, which can lead to unnecessary complexity and disproportionate investment in secure infrastructure. Conversely, rigorous classification allows hosting environments to be adapted to the actual sensitivity levels of the data.
Mapping data flows between suppliers, infrastructures and jurisdictions also becomes essential to anticipate regulatory constraints and reduce compliance gray areas. Integrating these considerations into the design of the cloud architecture is much more effective than trying to adapt existing infrastructures retrospectively. Beyond risk management, this approach above all makes it possible to design more flexible and more controlled digital infrastructures.
A lever for competitiveness and innovation
This evolution of cloud strategies does not only respond to regulatory or risk management imperatives. but also constitutes a lever for competitiveness. Indeed, organizations that better master their digital foundations have greater capacity to adapt, can deploy new applications more quickly and more effectively exploit emerging technologies like artificial intelligence.
Furthermore, the development of locally operated digital infrastructures contributes to strengthening European technological ecosystems, like ITC and SCC, by promoting the emergence of skills, partners and innovations.
The cloud is now entering a new phase of maturity. The challenge is no longer simply to migrate applications to outsourced infrastructures, but to design architectures capable of meeting multiple requirements: innovation, resilience, compliance and control. Organizations that know how to adopt this strategic approach, based on a detailed understanding of their data, intelligent allocation of workloads and flexible architectures, will be best equipped to evolve in a digital environment in constant transformation.
