Systems and methods are provided for updating data in a computer network. An exemplary method includes: receiving a first data from one or more data servers; determining a second data for which a first update information is used to update at least one element of the second data; generating a second update information associated with the second data; generating a third update information by executing an operation that compares the first update information and the second update information; generating a third data by applying the third update information to the second data; allowing a user to select via a display device which of the different update elements to update the second data; generating a fourth update information by determining the selected different update elements to update the second data; and updating the second data using the fourth update information.

Disclosed herein are systems and method for preventing malware reoccurrence when restoring a computing device using a backup image. In one exemplary aspect, a method may identify, from a plurality of backup images for a computing device, a backup image that was created most recently before the computing device was compromised. The method may mount the backup image as a disk and scanning the disk for malicious software. The method may disable all ports and services on the computing device to prevent unauthorized network connections and service launches. The method may restore data to the computing device from the mounted disk. The method may update software on the computing device and applying latest patches, and reopen the ports and restart the services on the computing device subsequent to updating the software and applying the latest patches.

Disclosed herein are systems and method for preventing malware reoccurrence when restoring a computing device using a backup image. In one exemplary aspect, a method may identify, from a plurality of backup images for a computing device, a backup image that was created most recently before the computing device was compromised. The method may mount the backup image as a disk and scanning the disk for malicious software. The method may disable all ports and services on the computing device to prevent unauthorized network connections and service launches. The method may restore data to the computing device from the mounted disk. The method may update software on the computing device and applying latest patches, and reopen the ports and restart the services on the computing device subsequent to updating the software and applying the latest patches.

Aspects of the present disclosure involve systems, methods, devices, and the like for creating an application lifecycle management platform for big data applications. In one embodiment the lifecycle management platform can include a multiple-layer container file that integrates multiple big-data tools/platforms. The system may create a generic template application, create a build environment for the generic template application, create a test environment for the generic template application, and run the built generic template application in the test environment prior to the user writing any new code in the generic template application. In one embodiment, the test environment includes a container management system or virtual machine that launches the big data application (which may be the generic template application before a developer edits the file) on a separate big-data server cluster.

Disclosed are embodiments of a installed software program that receive a model from a product management system. The model is trained to select one of a plurality of predefined states based on operational parameter values of the installation of the software program. Each of the plurality of predefined states define configuration values of the installation of the software program. The defined configuration values indicate, in some embodiments, updates to operational parameter values of the installation of the software program.

Disclosed are embodiments of a installed software program that receive a model from a product management system. The model is trained to select one of a plurality of predefined states based on operational parameter values of the installation of the software program. Each of the plurality of predefined states define configuration values of the installation of the software program. The defined configuration values indicate, in some embodiments, updates to operational parameter values of the installation of the software program.

Aspects of the present disclosure involve a system and method for performing operations comprising providing to a client device, a messaging application comprising multiple features; accessing a configuration rule that associates a device property rule with a feature; determining at a first point in time, that a property of the client device matches the device property rule associated with the configuration rule; in response to determining that the property of the client device matches the device property rule associated with the configuration rule, enabling the feature on the client device at the first point in time; receiving an updated property of the client device at a second point in time; and in response to determining that the updated property of the client device fails to match the device property rule associated with the configuration rule at the second point in time, disabling the feature on the client device.

Aspects of the present disclosure involve a system and method for performing operations comprising providing to a client device, a messaging application comprising multiple features; accessing a configuration rule that associates a device property rule with a feature; determining at a first point in time, that a property of the client device matches the device property rule associated with the configuration rule; in response to determining that the property of the client device matches the device property rule associated with the configuration rule, enabling the feature on the client device at the first point in time; receiving an updated property of the client device at a second point in time; and in response to determining that the updated property of the client device fails to match the device property rule associated with the configuration rule at the second point in time, disabling the feature on the client device.

A firmware protection module implements a hybrid firmware protection scheme on a computing device. The firmware protection module intercepts a message from a processor to a memory of the computing device. The message includes a command and an address in the memory corresponding to a firmware module stored in the module. The firmware protection module determines whether the command in the message is prohibited and whether the address in the message is protected. Responsive to a determination that the command is prohibited and the address is protected, the firmware protection module prevents at least a portion of the message from reaching the memory.

A firmware protection module implements a hybrid firmware protection scheme on a computing device. The firmware protection module intercepts a message from a processor to a memory of the computing device. The message includes a command and an address in the memory corresponding to a firmware module stored in the module. The firmware protection module determines whether the command in the message is prohibited and whether the address in the message is protected. Responsive to a determination that the command is prohibited and the address is protected, the firmware protection module prevents at least a portion of the message from reaching the memory.