The data center sector has forever been characterized as very volatile. Continually evolving, it’s moved towards more efficient models that allow for greater capacities with minimum resources.
For the quantity of data that we can now store in a few U’s on a rack in a closet, a few years ago we needed whole chambers in data centers. This type of evolution is what pushes data processing centers (DPCs). to continue transforming into models better able to respond to changing needs. Opting for a more modular design that’s easily adaptable allows room for sustained growth.
In response to needs like those mentioned above, the first data centers in shipping containers appeared. What was at first received with skeptic looks, became a viable option to consider when implementing data centers.
This type of data centers isn’t anything new. Years ago we saw large DPCs in containers built and operated by big companies like Google, as a flexible and secure solution for rapid growth and scaling.
Adam DataBOX: Some Advantages
Rapid implementation and deployment
Thanks to the total absence of or lesser need for civil works, which when necessary can be done in parallel, as well as the use of standardized and pre-assembled components and the delivery of a factory-tested solution that is already operational, it’s possible to reduce the time needed for implementation, which is usually a few months.
Cost containment and scaled investment
Due to the modular and scalable character of this solution, it’s possible to contain costs with investments that adjust to real needs at the moment of said investment. The scalability of this modular solution makes it possible to reduce or eliminate oversizing the data center to allow for future growth. With Adam DataBOX, gradual growth is possible, as modules can be added on an as-needed basis. Thus the client gets a scalable expansion that doesn’t affect operational infrastructure.
A fast return on investment
The reduction in costs facilitates a much faster return on the investment than traditional DPC models. Also, the scaled growth model that this type of data centers characterizes allows the implementation of the latest tendencies and solutions in cooling, UPS, etc, in each expansion.
In a sector in constant evolution, another of the advantages of growing in independent modules is each expansion can adapt to new needs as they come up. Using this model, individual modules can be produced with distinct specifications in each expansion.
Container data center models can be supplied registered for shipping to any part of the world, and thanks to their construction inside a freight container, they can be moved via truck, train, plane, or boat.
Container data centers have always been the best option for installation in difficult-to-access environments like mines, or forested areas. They’re also used as temporary contingency solutions after catastrophes.
The future of modular DPCs in containers
It’s estimated that, in 2021, the number of connected devices will near 28 billion, thanks to, among other things, the rapid advance of the IoT. This means that, in a couple of years, we’ll have 28 billion devices generating information. Information in the form of data that has to processed and returned to those devices in a smaller and smaller amount of time.
Systems like autonomous driving oblige latencies in communication to be reduced to the maximum. This is achieved, principally, thanks to new systems like 5G, and moving information computation closer to the source of that information (edge computing). It’s here where data centers in containers will become major players.
Edge data center models are becoming smarter and smarter. They’re the way to go when it comes to being able to manage, in an immediate way, the huge amount of information that the internet of things has begun to generate. Moving the processing of information closer to the devices that capture that information is necessary, and models like Adam DataBOX, are one of the principal options when it comes time to make this change.
Thanks to modular designs, ease of transport and reduced size, we can create IT environments made up of federations of data centers in containers placed close to the source of the information. Moving data management to these micro data centers reduces latencies.
Modular data centers have experienced strong growth over the last few years. Taking into account their characteristics and the advantages they bring, in the future, they could become even more relevant. We must implement models that allow infrastructures to adapt agiley, at the same rhythm that the IT world evolves.