Dell Products Inc.

Chandrasekhar Revuri

Vaideeswaran Ganesan

Pravin Janakiram

Abhishek Gupta

Raveendra Babu Madala

Ravishankar Kanakapura Nanjundaswamy

Rishi Mukherjee

Shivendra Katiyar

A Anis Ahmed

Praveen S Lalgoudar

Rushyendra Velamuri

Rishi Chandra

Winston X Fernandes

Anand Changegowda

Pallavi Satpathy

Rekha Poosala

An information handling system may include at least one processor and a memory. The information handling system may be configured to: receive an instruction from a user; cause the instruction to be executed, wherein executing the instruction generates a response; parse the response to determine whether any failures are associated therewith; and provide a recommended instruction to the user, wherein the recommended instruction is executable to locate and/or remediate an issue associated with the information handling system.

Dynamic recommendations for faster issue identification and resolution

A disclosed workload distribution method determines a yield index for each microservice associated with a containerized application executing on a potentially heterogeneous cluster information handling systems. Each microservice is then assigned to one of N priority categories based on its yield index, where three is an acceptable, but not exclusive, value of N. Resource configuration profiles are maintained for each of the priority categories. Each resource configuration profile assigns a resource configuration to each microservice. An information handling resource associated with a particular microservice is configured in accordance with the resource configuration assigned to the particular microservice by a particular resource configuration profile corresponding to the yield index. In this manner, workloads can be assigned and resources configured in accordance with the containerized application's priorities as exposed by the value indices.

Method and system for business yield aware workload distribution

An information handling system may include at least one processor and a memory coupled to the at least one processor. The information handling system may be configured to: receive configuration data from a managed information handling system; receive compatibility data from a vendor of the managed information handling system; determine, based on the configuration data and the compatibility data, that the managed information handling system has drifted from a predetermined configuration; and based on the determination of drift, execute a responsive action with regard to the managed information handling system.

Hardware drift determination and remediation

A system and method are disclosed for performing, by a processor of an information handling system, an inventory of updateable components of the information handling system. The system and method also includes retrieving an update path catalog for the updateable component and determining published updates between a current version and a target version of the updateable component according to the update path catalog. In addition, the system and method includes determining update recommendations based on the published updates between the current version and the target version. Finally, the system and method includes consolidating the update recommendations into the consolidated update recommendation according to a criterion.

Dynamically consolidating applicable updates into an update recommendation

An information handling system determines zones within a datacenter that exhibit poor component life. Components of the information handling system provide error indications and have error thresholds and warranty durations. The components organized into zones. A component life manager receives the error indications, fits the error indications to curves, determines end of life estimates based upon the curves and the error thresholds, determines end of life dates based upon the end of life estimates and dates that the first error indication is received, determines losses of life based on the end of life estimates and the warranty durations, determines component life scores based upon the losses of life and the warranty durations, determines zone life scores based upon an average of the component life scores, determines a datacenter life score based upon an average of the component life scores, determines that a zone has a zone life score that is below the datacenter life score by more than a threshold, determines a condition of the zone is associated with the low zone life score, and changes the condition of the zone to improve the zone life score of the zone.

Apparatus and method for troubleshooting poor part life zones in a datacenter

An information handling system determines zones within a datacenter that exhibit poor component life. Components of the information handling system are organized into zones, and provide error indications and have error thresholds and warranty durations. A component life manager receives the error indications, fits the error indications to curves, determines end of life estimates based upon the curves and the error thresholds, determines end of life dates based upon the end of life estimates and dates that the first error indication is received, determines losses of life based on the end of life estimates and the warranty durations, determines component life scores based upon the losses of life and the warranty durations, determines zone life scores based upon an average of the component life scores, determines a datacenter life score based upon an average of the component life scores, and provides an indication when a zone life score is below the datacenter life score by more than a threshold.

Apparatus and method for detecting poor component life zones in a datacenter

An information handling system includes a component and a component life manager. The component provides error indications associated with aging of the component, and has a predefined error threshold and a predefined warranty duration. The component life manager receives the error indications, fits the received error indications to a curve, determines an end of life estimate based upon the curve and the error threshold, determines an end of life date based upon the end of life estimate and a date that the first error indication is received, determines a loss of life based on the end of life estimate and the warranty duration, and determines a component life score for the component.

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Bengaluru, India

Chandrasekhar Revuri