Moving to the cloud is no longer an option for those who want to stay in the game, but a necessity to be competitive in today's market. What began as a way to save a few euros on physical servers has become the driving force behind the digitalization of any business, allowing even the smallest SME to scale its services without having to buy hardware that becomes obsolete in the blink of an eye.
However, it's not all as rosy as the marketing brochures portray it. As organizations delve deeper into the cloud ecosystem, they're starting to encounter drawbacks and complications that weren't part of the initial plan. From bills that skyrocket without warning to the nightmare of managing multiple vendors, the journey to the cloud is a marathon that requires a lot of brainpower and a well-structured strategy.
The disruptive impact of Artificial Intelligence
AI has arrived to completely revolutionize how we understand infrastructure. Now, deploying an environment is almost like programming an application; AI is a machine doing this, allowing us to be much more efficient and faster . But beware, there's a catch: before, it took longer, but errors were few. Now we launch everything at lightning speed, but finding the error is like looking for a needle in a haystack , which complicates life for developers.
Furthermore, we cannot ignore that generative AI is, in some ways, a loss-making technology for those who create it. The cost of supercomputers for AI and the electricity consumption are staggering, which has changed the cost model for all organizations. We are in a phase of a lot of hype , but the real revolution will come when we manage to make all this deployment truly sustainable and viable in the long term.
Sustainability as a new decision criterion
It's no longer enough for the cloud to be fast or cheap; now it has to be green. AI's energy consumption has put energy efficiency and resource use at the forefront as key factors. It's no longer just about maintaining a good corporate image, but about reducing operating costs and anticipating increasingly stringent environmental regulations.
- Efficient infrastructures: Designing data centers that minimize environmental impact.
- Clean energy: Transition to 100% renewable supplies to mitigate the carbon footprint.
- Hardware life cycle: Responsible management of technological waste and water consumption.
Major players like AWS, Microsoft, and Google have already committed to becoming carbon negative in the coming decades, understanding that sustainability is now a direct competitive advantage in the face of more conscious investors and customers.
Cybersecurity: A constant battleground
The cloud has amplified existing vulnerabilities, but it has also created new ones. The greatest danger is sometimes not an external hacker, but rather an employee who, through lack of awareness, bypasses IT protocols and leaves a door open. Data theft and account hijacking remain major headaches, especially when weak passwords are used or passwords are not regularly rotated.
AI plays a double-edged role here. On the one hand, it strengthens defenses, but on the other, it accelerates attackers' offensive capabilities . There is a real risk that a company's private information could end up training public AI models, leading to leaks of sensitive data . Security can no longer be viewed as a perimeter wall, but rather as a cross-cutting capability that protects identities, APIs, and supply chains in multi-cloud environments.
The labyrinth of costs and financial management
Many CIOs are beginning to feel that the cloud is the "new on-premises" due to the complexity of billing models . It's very common to encounter hidden costs that weren't included in the initial contract. A common mistake is leaving virtual machines running, assuming they don't cost anything, or incorrectly sizing capacity , which drastically increases the monthly bill.
To prevent the cloud from becoming a bottomless pit, it's vital not to simply move workloads (the famous lift-and-shift approach ), but to adjust the architecture to take advantage of dynamic sizing and cloud-native services. True profitability only comes with tight cost control and ROI planning based on real needs, not trends.
Multicloud and the fight against silos
To avoid dependence on a single provider and gain resilience, many companies opt for multicloud. However, this can lead to fragmented and chaotic management if not implemented correctly, creating technological silos where data is scattered and doesn't communicate with each other. The challenge is to find a single control plane that allows managing different clouds from a single location.
The key is to adopt hybrid cloud storage . Not everything has to be in the public cloud; some critical or resource-intensive applications work better in traditional environments. Ideally, you should combine the flexibility of the public cloud for peak demand with the cost control and sovereignty of the private cloud, always ensuring an exit plan to avoid being locked into a single provider.
The future of the sector suggests that AI will automatically manage the movement of applications between clouds based on business rules or security events, transforming the infrastructure into something dynamic and autonomous . Achieving this balance between security, cost, and sustainability will determine which companies will be able to leverage the cloud to innovate and which will remain trapped by technical complexity.
