Artificial Intelligence
I believe this is the one we understand most clearly today. Artificial intelligence is gaining momentum every day, and we are already using it unconsciously in many of our daily tasks. It is estimated that by 2029, 50% of the resources used on the public cloud will be used for these purposes. In addition, the major hyperscalers (AWS, Azure and GCP) are already integrating generative AI, foundational models and synthetic data ecosystems.
Emerging architectures: Containers and microservices
The development and deployment of applications has undergone a revolution in recent years thanks to more modern architectures such as containerisation and microservices. Kubernetes and other orchestrators are enabling much more efficient application scaling and management, making the most of infrastructure resources.
Serverless computing
We have already discussed the great benefits of ‘as a service’ in previous articles. Serverless computing allows us to abstract ourselves from the infrastructure side of things and focus on what is really important. For example, we can highlight Functions as a Service (FaaS), which allow developers to focus on developing their code without worrying about the infrastructure side of things. This service can be quite interesting for start-ups, as they are companies looking for agility and cost reduction.
Multicloud
One of the most popular strategies chosen by companies. It is based on using several hyperscalers and sectioning services by hyperscaler depending on the particularities and costs. Similarly, it can also be integrated with on-premise. The important thing in this scenario is to have good connectivity between the different providers to ensure quality and resilience in the service.
These trends generate a series of challenges, such as the governance model and regulatory compliance due to local regulations, which also require hyperscalers to adapt and certify their services for compliance.
There is also dissatisfaction due to unmet expectations in the cloud, both in terms of functionality and cost, which may not be as expected if we do not use it properly.
Future opportunities include Edge Computing, where we process data close to the source to reduce latency and improve performance.
Let us not forget that all this will also require a high level of expertise in cybersecurity, which will create extra demand for this type of service.
In the next 10-15 years, we will no longer be talking about ‘migrations to the cloud’ but rather ‘how to make the use of the cloud more efficient’.
