Abstract: Techniques are provided for proactive analysis of a computer environment to prevent a disruption in services. Specifically, a risk score may be generated for each of a plurality of different alerts. If the risk score generated for a particular alert meets a predefined criterion, the alert may be amplified to determine a remediation for the computer environment. Specifically, an alert with a risk score that meets a predefined criterion may be amplified to determine one or more remediations that can be implemented to proactively prevent a future and potential disruption in services in a computer environment. For example, a service process that has a greatest utilization at a particular storage resource, e.g., storage array, may be identified. One or more query scripts may then be executed within the database using the particular storage resource to identify a remediation that can be implemented to prevent a potential future disruption in services.

Abstract: Techniques are provided for proactive analysis of a computer environment to prevent a disruption in services. Specifically, a risk score may be generated for each of a plurality of different alerts. If the risk score generated for a particular alert meets a predefined criterion, the alert may be amplified to determine a remediation for the computer environment. Specifically, an alert with a risk score that meets a predefined criterion may be amplified to determine one or more remediations that can be implemented to proactively prevent a future and potential disruption in services in a computer environment. For example, a service process that has a greatest utilization at a particular storage resource, e.g., storage array, may be identified. One or more query scripts may then be executed within the database using the particular storage resource to identify a remediation that can be implemented to prevent a potential future disruption in services.