Dynamic On-Demand Machine Provisioning and Continuous Resource Management

Machine provisioning is an industry wide common and critical problem when there are vast number of machines that needs to be provisioned per day. Due to the complexity and resource constraints, machine provisioning needs to be completely optimized for effective utilization of resources. This paper presents an automated system for on-demand machine provisioning and continuous resource management that aims to optimize provisioning speed and utilization through dynamic allocation. A conversational AI chatbot with natural language processing allows users to request machines. The chatbot interacts with a Smart Agent that allocates optimal machines based on inventory, usage metrics, and request history. In this work, we automate the process of machine provisioning as per the user demand. Our automation scripts or playbooks provisions software based on configuration files. Furthermore, we propose Machine Utilization-Aware Alert Manager for machine monitoring and effective utilization of resources. The monitoring & alerting agent monitors resource usage while alerts optimize allocation by detecting idle machines. The solution has been successfully applied in our organization and has brought practical benefits in real-world applications. The system uniquely incorporates predictive analytics models trained on historical usage data to forecast demand and guide dynamic utilization of resource allocations. It optimizes provisioning across existing infrastructure by analyzing current utilization and capacity metrics to enable inventory-aware on-demand allocation.