According to Gartner, by 2025, half of cloud data centers will deploy advanced robots with Artificial Intelligence (AI) capabilities, resulting in 30% greater operational efficiency. According to a recent AFCOM study, 40% of data center providers that were surveyed stated that they would be deploying robotics or automation software in their facilities within the next 3 years.
Robotic Process Automation (RPA) can be used to automate data center essentials, including the basics of maintaining the premises in which these centers are located, and some of their core data-driven tasks such as managing network traffic.
CIOs can succeed in accomplishing more while using fewer traditional resources with RPA, making these hubs of enterprise activity much more efficient. For more information on this, please refer to Managed IT Services Denver.
What is Data Center Automation?
The term “data center” itself has several meanings. It could be used to refer to a network mainframe, a set of servers for data management and/or virtualization, and/or cloud infrastructures. Data centers operate 24/7 and are critical to the operation of all organizations requiring information.
Data center automation is a method of automating a data center. The scope of automation within a data center can vary too. It could involve automating a single task in a daily workflow or span the entirety of data center operations.
Organizations generally turn towards automation in search of better cost-efficiencies and productivity gains. The global data center automation market size is expected to reach $32.5 billion by 2030 at a CAGR of 21.32% from 2021 to 2030. When planning an automation project, an organization must evaluate the data center operations, both current and future. Automating a data center can be done in several different ways.
Companies could choose to hire a service provider to take over data center management, but many may want to keep processes in-house. Automation is a viable alternative to managed services, and can effectively eliminate errors, save time, and optimize processes for better cost-savings.
Top Ways to Achieve Data Center Efficiency
Monitoring
RPA software is capable of monitoring almost all data center components, including balancing workloads, logistics pertaining to the surrounding environment, and monitoring systems non-stop without lagging in performance.
This capability is extremely valuable for ensuring operational stations have appropriate airflow, temperature, humidity, and power distribution to maintain peak functionality. For more information on relevant RPA software for your data center, please refer to IT Consulting.
Human productivity
RPA streamlines processes that are traditionally carried out by humans. This enables human workers to focus on higher-value tasks, such as planning for business needs.
Security
Security is a chief concern for data centers, because bots can use surveillance to understand normal usage patterns and apply that knowledge to detect malware and other forms of attacks. Machine learning also makes them better at this task.
Scalability
Maintaining a scalable data center is integral to ensuring proper functionality. Robotic process automation can leverage artificial intelligence to recognize usage patterns, scale up or down as needed, and provision virtual machines on demand. This enables companies to save costs associated with machines that are not in use but also satisfy users when they need it.
Post courtesy: Greystone Technology – IT Services Provider in Denver, Colorado.