Feb 17, 2021. By Anil Abraham Kuriakose
Along with business, enterprise IT is growing at a significant scale. A large number of employees, resources, and IT infrastructure are required to support every IT service activity. This growth phase calls in many responsibilities; that is, the right and efficient planning mechanism is needed to manage and monitor if every task is scheduled and the organization's work is running in a smooth phase. The primary requirement here is to understand the essential resources needed for the utilization, whether hardware or software. That is, managing the infrastructure's capacity requirements, so the best performance is made possible using the least resources. Understanding the adequate requirement of resources is needed, monitoring the utilization of these resources, and so on. Getting to know these resources and the proper utilization has been a great challenge faced by many IT enterprises. This is where the concept of capacity planning and capacity management comes into the picture.
Capacity planning is a planning activity where the required amount of resources is needed to meet the business demand. That is determining the production capacity needed within an IT organization to meet its changing demands for its products. Capacity management involves estimating the compute, storage, hardware, software, and connections required to deliver the current IT provision for the business's smooth run. With several cloud providers such as Amazon and Microsoft Azure charging based on a consumption model, capacity planning is more important. The major benefit of capacity planning is that it helps showcase the cost and business needs that are highly essential for infrastructure upgrades, ensuring that the virtual system configurations meet the SLA.
Moreover, capacity planning helps minimize the cost of ITIL processes and helps application development by predicting the impact on production systems of new or modified applications. These are some of the great benefits capacity planning possesses. Apart from that, improper or insufficient planning can lead to great loss for the business and production.If your environment is incorrectly sized, you could be paying for resources that are underutilized or not required at all. This is a huge impact on the business, as paying for what is not needed. On-premise virtual environments also have a large impact on the resources and capacity utilized within an organization. Because of its new nature of the virtual environment, the creation of this new instance of the virtual machine is really easy. But the real question is, are all of these resources needed for the current production or project? So, the real helping hand in this situation is to have a proper analysis of the actual demand of needed resources. That is to have an efficient system to manage and monitor these demands and changes.
AI-Based Capacity Planning:
The right solution is to have all these processes automated. Yes! AI-based automation-the new normal is the perfect way for capacity planning. Capacity planning requires a lot of effort with the right estimation on the demand and utilization of resources. Manually getting this done may lead to an error that is not acceptable. Artificial intelligence can be of great assistance in this case. AI has the capability of analyzing what the actual demand of the system is. And on that basis, we will assign the required demanded resources to the required operator. The AI-based system will help report, analyze insights, and checks on the system's performance based on available capacity. Based on this, the IT team can efficiently optimize the right need for resources. In this way, AI can help enterprise IT optimize the cost and gain business profit. And the chances for the occurrence of human error are also avoided here. Moreover, the right need for resources will be continuously monitored, and also the AI-based system can free up unused memory or disk space.
This helps the IT organization gain clear visibility in the organization by monitoring where it is over-provisioned or under-provisioned and provides risk mitigation and cost reduction. Improved performance is ensured, which helps achieve greater productivity and satisfaction with proactive capacity management and staff optimization, which helps in refocusing you and your team on more strategic work.
AI-based capacity planning is the right for getting complete visibility into IT infrastructure. That visibility is an essential element of successful capacity management.
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