Sheldon Anthony IO

When it comes to managing complex computing systems human error will inevitably occur, even if you have the most reliable and experienced team on hand. There is only a limited number of variables that humans can consider. Every essential factor cannot be considered by a single person, regardless of how complex or simple the computer system may be. Using artificial intelligence, autonomous systems manage thousands of inputs and anticipate how they interact in ways humans could never dream of. Autonomic systems provide businesses many advantages, such as lowering operating costs, lowering failure rates, providing better security, and the ability to respond more quickly to market conditions.

It is estimated that a system with ten components, each having three-nines availability, would be made available with only two nines. As a result, the system's downtime could increase from 44 minutes per month to 7 hours and 18 minutes per month, according to a study from Gartner. ^[1] Organizations face a substantial cost when it comes to maintaining computer applications. Speed and automation of computing systems have brought enormous benefits, but their maintenance is now overwhelmed by economic necessity. There is an increase in mobile computing usage in large company networks as employees need to communicate with their companies even when they are not physically present at the office. A variety of devices can access company data, including mobile phones, laptops, personal digital assistants, and other portable devices. This creates an enormous complexity in overall computer network systems which is hard to control manually by human operators. Manual control is time-consuming, expensive, and error-prone.

Microsoft uses autonomic systems to reach its goal of becoming carbon-negative by 2030. During the first half of 2020, their HVAC experts taught an AI system how to optimize the HVAC systems they were already familiar with. They could recreate real-world scenarios to test the system’s performance. It was possible for the AI system to implement various optimization strategies while meeting performance expectations by simulating situations such as winter storms, heat waves, and equipment failures. Their system operators were also able to improve site health and create healthier work environments by utilizing autonomous systems. As a result of using autonomic systems, they realized a 15% reduction in energy use.^[2]

When traditional system management techniques are not able to respond to business adaptability, flexibility, and agility, autonomic systems can be successful in helping with the self-management of these systems. With autonomous systems, management is removed from the hands of humans and placed on technologies instead. The self-managing nature of autonomic environments allows IT resources to focus on solving business problems rather than mundane system management tasks. 

The decision-makers of corporate IT infrastructures will be more inclined to choose software products that conform to standards and support autonomous computing as they build infrastructures to support the dynamic needs of on-demand computing. IT management will become more focused on executing business policies as IT infrastructure becomes more autonomous. It will no longer be necessary to manage a business and IT separately. To run and deploy new processes and capabilities efficiently, self-configuring and self-optimizing technologies are essential. It will be possible to manage business processes more effectively with automated systems by releasing IT staff from tedious tasks. It is the goal of businesses, whether they are small, medium, or large, to reduce their IT costs, simplify the management of complex IT resources, realize a faster return on their IT investments, and maximize system reliability, performance, security, and asset utilization. With self-configuring systems, it becomes easier to deploy new applications needed to meet emerging business requirements. To keep businesses running, self-healing capabilities are essential. The productivity of employees is enhanced when business processes and policies are managed without the need to manage the supporting technology separately. By automating repetitive time-consuming tasks, employees can take on more creative and unique ones that virtual engineers cannot handle. Autonomic systems automate tasks and complete them in fractions of the time and cost that it would take a human to do them. Business benefits from this increase in efficiency through increased profit margins and increased agility.