Abstract: A device may receive error data indicating that an error occurred, the error being associated with a data processing job scheduled to be performed by a data processing platform. The device may identify input data for the data processing job associated with the error and determine that the error is based on the data processing platform not receiving the input data. In addition, the device may determine a location of the input data and determine a measure of priority associated with the data processing job. Based on the location of the input data and the measure of priority, the device may perform an action to correct the error.

Abstract: A device receives, from a cloud computing environment, application usage information associated with application instances in the cloud computing environment for an application, and processes the application usage information, with a machine learning model, to determine behavior patterns and predicted tasks for the application. The device determines a modified quantity of the application instances based on the behavior patterns and the predicted tasks for the application, and causes the modified quantity of the application instances to be implemented in the cloud computing environment based on one or more rules. The device stores information associated with the modified quantity of the application instances in a data structure, and updates the machine learning model based on the information associated with the modified quantity of the application instances stored in the data structure.

Abstract: A device receives, from a cloud computing environment, application usage information associated with application instances in the cloud computing environment for an application, and processes the application usage information, with a machine learning model, to determine behavior patterns and predicted tasks for the application. The device determines a modified quantity of the application instances based on the behavior patterns and the predicted tasks for the application, and causes the modified quantity of the application instances to be implemented in the cloud computing environment based on one or more rules. The device stores information associated with the modified quantity of the application instances in a data structure, and updates the machine learning model based on the information associated with the modified quantity of the application instances stored in the data structure.

Abstract: A device may receive error data indicating that an error occurred, the error being associated with a data processing job scheduled to be performed by a data processing platform. The device may identify input data for the data processing job associated with the error and determine that the error is based on the data processing platform not receiving the input data. In addition, the device may determine a location of the input data and determine a measure of priority associated with the data processing job. Based on the location of the input data and the measure of priority, the device may perform an action to correct the error.

Abstract: A device receives, from a cloud computing environment, application usage information associated with application instances in the cloud computing environment for an application, and processes the application usage information, with a machine learning model, to determine behavior patterns and predicted tasks for the application. The device determines a modified quantity of the application instances based on the behavior patterns and the predicted tasks for the application, and causes the modified quantity of the application instances to be implemented in the cloud computing environment based on one or more rules. The device stores information associated with the modified quantity of the application instances in a data structure, and updates the machine learning model based on the information associated with the modified quantity of the application instances stored in the data structure.

Abstract: A device may receive error data indicating that an error occurred, the error being associated with a data processing job scheduled to be performed by a data processing platform. The device may identify input data for the data processing job associated with the error and determine that the error is based on the data processing platform not receiving the input data. In addition, the device may determine a location of the input data and determine a measure of priority associated with the data processing job. Based on the location of the input data and the measure of priority, the device may perform an action to correct the error.