The data center colocation industry is evolving and there are many more changes and proliferation in the cards. The last year (2018-2019) has seen some important developments and the future looks promising with the industry set to evolve.
There is no shortage of business processes and technologies that organizations seem to be in need of. This is even more reason for data centers to flourish and expand. Just as technologies keep evolving, data centers too need to keep up. Let’s take a look at the new trends in data center architecture.
Edge Computing and Data centers
Data centers are not obsolete as some of the tasks supported by them are vital to the IT industry. With the proliferation of data and IoT there is a need for data centers to scale. Edge computing presents a solution where workloads from data centers and centralized cloud are made available to clients without much delay in processing.
Edge also acts as a decentralized arm of cellular networks, data center networks and other campus networks. Edge computing complements data centers and other cloud services, thus enabling better access to computing resources and data.
Computing without Servers
The software architecture pattern that is evolving today is based on serverless computing, which effectively does away with the need for providing and managing infrastructure. Though this may not happen overnight, it is a possibility that the existing data centers need to take into account. The truth, however, is that one can’t imagine a scenario where servers do not exist. The onus lies on the service providers to ensure that serverless does not mean that VMs are replaced completely.
It all depends on how well the industry adapts to technology and uses it. Studies indicate that over 20 percent of the global enterprises will adopt serverless computing technologies in a couple of years or so. The current figures hover around 5 percent.
The impact of AI
Input/output (I & O) leaders are increasingly relying on AI, which will help them scale without having the need to have matching infrastructure and staffing requirements. AI is set to transform organizations as it is evolving as the heartbeat of digital business of the future. AI is set to achieve astounding values of $3.5 trillion by the end of 2022. Google AI believes that Artificial Intelligence can be used to address societal changes.
End of on-premises data centers
According to a research study conducted by Gartner it is obvious that by 2025 most of the businesses (over 80 percent) would have migrated away from on-premises data centers to low cost colocation data centers. The process of shutting down of on-premises data centers has already started and by the end of 2025 only 20% of the enterprises are expected to have in-house data centers. I & O leaders will now look to colocation data center service providers to bear the extra workloads created by this shift. According to Gartner, the right time when this shift is expected to happen is between 2021 and 2025.
Data center colocation service providers need to start thinking globally and plan for providing infrastructure facilities to handle the growing global demands. As it is I & O leaders are working on tight budgets and it will do them well to stop building their own in-house premises at every global location and start looking for colocation service providers, which will help them focus on their core competencies.
DataCenterandColocation is a free professional and non-bias service provided to clients for selecting the right data center, colocation, managed hosting or cloud facility for their requirements. DataCenterandColocation is one of the largest colocation site consulting firms in the United States. They represent approximately 3000 data centers and colocation centers in the United States and Canada. At no cost to clients, they identify specific space, location, power and security requirements, solicit proposals, professionally analyze the responses, compare the strengths and weaknesses of each facility, negotiate to price and deliver highly competitive bids for colocation. They also perform a comparative analysis of in-house vs. design-build services, wholesale data center space, and data connectivity.