For corporations to take a more proactive role in mitigating their environmental affect, few parameters contribute to developing a profile for environmentally friendly data centers.
Growth, digitization, and efficiency are the three primary objectives of organizations. Cloud adoption is helping address these challenges. Accelerated by the pandemic, -cloud adoption aims to accelerate the digital transition. Cloud computing enables businesses to work, develop, and collaborate from anywhere, at any time, on any cloud of their choice, via agile, secure platforms (public, private, and hybrid)
Organizations are increasingly utilizing multi-cloud and hybrid cloud architectures, which has resulted in the development of additional innovations like containers and microservices to facilitate workload portability in the cloud. New models are being created, such as DCIaaS (Dedicated Cloud Infrastructure as a Service).
Few parameters contribute to reducing the environmental footprint of digital technology and reconciling digital with ecological principles. These parameters contribute to the development of a profile for new, more environmentally friendly, secure, and flexible data centers that are well-suited to the post-Covid world.
Post-Covid data centers will be more flexible and on the edge
Regional data centers have continued to expand at a breakneck pace, bolstered by the health context and the critical benefits of a more geographically distributed IT infrastructure. This trend will continue to intensify in the coming years. While availability is paramount, the Edge data centers are also more nimble and energy-efficient, with lower latency. Their ultra-modular design gives them an energy performance advantage. Additionally, an increasing number of them will ensure high availability via distributed resilience mechanisms when they are disseminated.
Ensuring better protection against attacks
The mind-boggling volume of data may provide a business with important information that aids in strategic decision-making. While the data center serves as the ‘digital safe’ for this new gold rush, security concerns must still be addressed by tighter controls on both logical and physical security, such as building access control via drones and more advanced facial recognition. Additionally, ‘zero trust’ architectures will become more prevalent, preventing unauthorized users or devices from connecting to the network. To make this approach work, enterprises must micro-segment all of their resources, impose rigorous access rules, and audit and record all network traffic, including terminals, workloads, and data. Businesses will eventually rely on advanced encryption technology such as homomorphic encryption, which encrypts data without requiring it to be decrypted.
Responding to the challenges of high density
Improved CPUs have the ingenuity and capacity of data centers to handle intense computational tasks, particularly those required by AI.
However, this high density creates a significant issue: by hosting increasingly dense infrastructures in a constrained space, data centers are forced to address the issue of efficiently dispersing generated heat. Over the next few years, traditional cooling on low-density racks will gradually be phased out in favor of liquid cooling on high-density racks.
The data center industry is committed to accelerating the development and implementation of sustainable tools in order to mitigate the industry’s impact on climate change.
Making greater use of digital tools
The Covid-19 pandemic, combined with the onslaught of advances based on software automation and artificial intelligence, heightened the imperative to accelerate the development of data centers while also reducing their reliance on human labor. Adoption of increasingly streamlined construction models, such as Building Information Modelling (BIM), will aid in speeding up the process and customizing design in response to demand while also taking security into account. The ‘digital twin’ notion enables the avoidance of potential faults prior to physical construction by allowing the execution of upstream computer simulations and tests.
Additionally, at a time when buildings must increase their energy efficiency, this is an important first step in optimizing predictive maintenance. All that remains is to employ modeling tools consistently across the board, from design to maintenance, that adheres to the same standards and communicate with one another. The data center industry is eager to accelerate the development and implementation of sustainable techniques in order to mitigate the industry’s contribution to global warming.
Datacenter sustainability has become a priority, and its measurement a constant: installation must be optimized from design through operation and throughout its life cycle, including all stakeholders in the ecosystem.
Even if they quantify their environmental impact, everyone must adhere to the same evaluation criteria in order to make meaningful comparisons between facilities and operators.