Many are wondering what the world of free and open-source software will bring in the new year, what advances we'll see, and what trends will emerge in 2019. We'll surely see Linux 5.0 gain traction this year, and container technologies, AI, and cloud computing will continue to advance—a relentless and constant development where free and open-source software projects will play a crucial role.
But there's one word that particularly catches my attention, and it's likely to be a major tech trend in 2019. Of course, open source has a lot to contribute to making it a reality. I'm referring to the word " composability ," or what we know as composable infrastructures . It might seem strange to those unfamiliar with it, a bit like the famous concept of convergence when it emerged a few years ago and now seems to have been forgotten, but it could be very interesting.
Specifically, Western Digital (although other companies like HP are also very interested) is the most enthusiastic about this trend, and they believe it will arrive this year to develop systems that allow users or clients to run compute, network, and storage as resource pools from the same device, provisioning as needed depending on the workloads required for optimal performance. This will greatly improve current public cloud services.
This approach aims to reduce underutilization and over-provisioning while creating a more agile data center. It's a very interesting idea for optimizing and using resources much more efficiently , according to the needs of IT and organizations. This is certainly something very interesting that we will likely discuss further on this blog as new open-source projects on the subject emerge.
This clashes with current converged and hyperconverged infrastructure . Converged infrastructure is designed for a specific application or workload, with physically integrated compute, storage, and networking components. Hyperconverged infrastructure adds deeper levels of abstraction and greater levels of automation, with software-defined elements deployed virtually. While it also combines compute, storage, and networking, it has scalability limitations.