Coralogix has introduced a new business model to address the high costs associated with cloud logging by allowing organizations to prioritize their log data based on its importance and the cost they are willing to incur. This approach aims to tackle the challenge faced by CIOs, where a large volume of log data is generated daily, yet most of it remains unanalyzed, leading to significant expenses. The model categorizes logs into low, medium, and high priorities, with each category dictating how the data is stored and accessed, thereby optimizing costs while enhancing real-time analysis and alerting capabilities. By assigning appropriate priorities, organizations can archive less critical logs while maintaining immediate access to important data, thus utilizing machine learning-driven logging solutions at a reduced cost. This method also addresses specific use cases such as web server, application, and security logs, offering customized metrics and alerts to ensure efficient monitoring and management of data resources.