REAL-TIME WORKLOAD OPTIMIZATION
Through the use of machine learning algorithms, we are able to analyze workload behavior in real time, identify patterns and trends, and implement dynamic adjustments of computing resources. This continuous and proactive strategy of workload optimization allows for much more efficient resource usage, resulting in a significant increase in the throughput of your applications and a significant reduction in computing resource consumption, such as CPU, memory, and I/O.