Data center architecture is evolving from traditional box-like systems to more futuristic structures, with augmented reality, artificial intelligence, machine learning, autonomous robots and other technologies shaping the future of operations DC.
Data center operations involve a plethora of sophisticated systems, modern equipment, and machinery that require a high level of experience and skill for efficient operation and prompt maintenance. Artificial intelligence and machine learning systems can simplify or, in some cases, fully automate these procedures. Augmented Reality can aid in real-time data center infrastructure maintenance by enabling on-site technicians and engineers to verify data live with just one click
In an ideal case, the machines will never break down and will run continuously for an infinite time. But sometimes failures do happen, and it is impossible for every technician to know how to troubleshoot the failure that has occurred because there are too many devices to track and gain perfect knowledge of each one. Even the most seasoned IT professional will have a hard time knowing how to properly repair, maintain, and update devices.
The evolution of augmented reality (AR) for data center maintenance and repair offers enormous potential for on-site workers and engineers. Real-time data can be displayed on a tablet, mobile device or handheld device, displaying 3D graphics to help personnel perform maintenance operations.
The procedure includes scanning the barcode of the rack that is serviced through the application or the AR device. It will retrieve the data from the main server and generate a 3D visualization using blocks and lines to display real-time information and statistics. The operator can execute the project by following the paths and directions represented through an augmented reality hologram.
AR takes data center operations to the next level of digitization, preparing the IT workforce of the future, making it easier for engineers and technicians to manage and repair devices on-site with little or no no additional training required.
AI and machine learning are playing an increasingly important role in the development of autonomous data centers.
When artificial intelligence was first introduced, its application was rather limited. Five years later, AI is thriving in all areas of industry, and organizations are trying to harness the power of data for deeper business intelligence and decision making. Artificial intelligence has been slow to be applied to operational challenges in the data center industry.
AI automation can scale to analyze huge amounts of data, collect the critical information needed to minimize power consumption, distribute workloads, and optimize efficiency to get better use of center resources. of data. According to Gartner research, more than 30% of data center operators will be economically and operationally unviable if they do not deploy AI in the management of their DC infrastructure.
By optimizing power management, artificial intelligence can help organizations reduce energy and emissions from data centers. Removing power from the data center cooling modules can save a third of the energy. Each year, data centers in the United States alone consume more than 90 billion kilowatt-hours of electricity. Globally, electricity consumption can reach 416 terawatts, or about 3% of the total electricity produced on the planet. This requires the creation of more environmentally friendly data centers with a lower carbon footprint and more efficient energy optimization.
Data center temperature control requirements are influenced by data traffic and weather. Existing cooling systems do not precisely meet equipment cooling service requirements. Cooling systems in data centers are more sophisticated than those in our homes; they include cooling towers, chillers, pumps and an indoor unit. Manually managing this system is a daunting process, so most of the energy is wasted in cooling rather than producing optimum efficiency. Power management based on AI and machine learning can help optimize heating and cooling systems, lower electricity costs, reduce manpower and increase efficiency .
AI and machine learning are also used for equipment management, where AI can learn what is normal from the data it collects and predict any anomalies it finds. AI systems can track the status of servers, storage and networking equipment, ensure systems are configured correctly, and predict when equipment may fail.
AI systems can ‘learn’ what typical network traffic looks like through machine learning, identify anomalies in data, prioritize alarms requiring the attention of a security expert, assist with post analysis -incident of what went wrong and provide recommendations to correct vulnerabilities in organizational security defenses.
Data center outages can lead to long periods of downtime. As a result, companies employ specialized personnel to monitor and predict data failures. However, manually predicting data loss can be difficult. Data center workers must decode and assess a range of vulnerabilities to determine the root cause of various problems. Deploying AI in the data center can be a viable solution to this problem. Artificial intelligence can help identify and predict data failures by monitoring server performance, network congestion, and disk usage. AI systems can perform mitigation techniques on their own to help the data center recover from a data failure.
To stay relevant in the future, today’s data centers need to upgrade, update, and harness the power of AI. Advances in AI and machine learning have the potential to transform the architecture of data centers and enable more automated and efficient data management.
Rohit Singal, Vice President of Sales – India and SAARC – Rahi
Rahi, a leading technology enabler, delivering solutions and services that maximize the performance, scalability and efficiency of today’s integrated environment. Rahi Systems is dedicated to helping customers achieve their business goals, leveraging innovative technologies. Their areas of expertise include data center solutions, enterprise IT infrastructure, networking and security, cloud infrastructure, and AV solutions to create an integrated environment that improves efficiency and empowers “Customer” a competitive advantage. In approximately 9 years, Rahi Systems has a global presence in 32 countries and is committed to providing cutting-edge IT infrastructure solutions for business transformation.