Abstract: A computer-implemented method of diagnosing a technology environment using augmented reality may include: receiving status information corresponding to the technology environment; generating, based on the status information, a 3D visualization of the technology environment; causing an augmented reality device to display the 3D visualization, the 3D visualization including one or more first level icons; receiving first selection information from the augmented reality device, the first selection information corresponding to a first selection gesture performed by a user of the augmented reality device; and in response to the first selection information, causing the augmented reality device to display one or more second level icons as part of the 3D visualization.

Abstract: A computer-implemented method of diagnosing a technology environment using augmented reality may include: receiving status information corresponding to the technology environment; generating, based on the status information, a 3D visualization of the technology environment; causing an augmented reality device to display the 3D visualization, the 3D visualization including one or more first level icons; receiving first selection information from the augmented reality device, the first selection information corresponding to a first selection gesture performed by a user of the augmented reality device; and in response to the first selection information, causing the augmented reality device to display one or more second level icons as part of the 3D visualization.

Abstract: A computer-implemented method of diagnosing a technology environment using augmented reality may include: receiving status information corresponding to the technology environment; generating, based on the status information, a 3D visualization of the technology environment; causing an augmented reality device to display the 3D visualization, the 3D visualization including one or more first level icons; receiving first selection information from the augmented reality device, the first selection information corresponding to a first selection gesture performed by a user of the augmented reality device; and in response to the first selection information, causing the augmented reality device to display one or more second level icons as part of the 3D visualization.

Abstract: A computer-implemented method of diagnosing a technology environment using augmented reality may include: receiving status information corresponding to the technology environment; generating, based on the status information, a 3D visualization of the technology environment; causing an augmented reality device to display the 3D visualization, the 3D visualization including one or more first level icons; receiving first selection information from the augmented reality device, the first selection information corresponding to a first selection gesture performed by a user of the augmented reality device; and in response to the first selection information, causing the augmented reality device to display one or more second level icons as part of the 3D visualization.

Abstract: A device receives historical application creation data that includes data associated with creation of a plurality of applications, and processes the historical application creation data, with one or more data processing techniques, to generate processed historical application creation data. The device trains a machine learning model, with the processed historical application creation data, to generate a trained machine learning model, and receives new application data associated with a new application to be created. The device processes the new application data, with the trained machine learning model, to generate one or more predictions associated with the new application, and performs one or more actions based on the one or more predictions associated with the new application.

Abstract: A device receives historical application creation data that includes data associated with creation of a plurality of applications, and processes the historical application creation data, with one or more data processing techniques, to generate processed historical application creation data. The device trains a machine learning model, with the processed historical application creation data, to generate a trained machine learning model, and receives new application data associated with a new application to be created. The device processes the new application data, with the trained machine learning model, to generate one or more predictions associated with the new application, and performs one or more actions based on the one or more predictions associated with the new application.

Abstract: A device receives historical application creation data that includes data associated with creation of a plurality of applications, and processes the historical application creation data, with one or more data processing techniques, to generate processed historical application creation data. The device trains a machine learning model, with the processed historical application creation data, to generate a trained machine learning model, and receives new application data associated with a new application to be created. The device processes the new application data, with the trained machine learning model, to generate one or more predictions associated with the new application, and performs one or more actions based on the one or more predictions associated with the new application.