Red Hat‘s patent involves reducing image file sizes for software deployment in computing environments. The system selects a base image file with the fewest dependencies, customizing it for deploying target software efficiently. The patent aims to streamline software deployment processes. GlobalData’s report on Red Hat gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Red Hat, was a key innovation area identified from patents. Red Hat's grant share as of February 2024 was 94%. Grant share is based on the ratio of number of grants to total number of patents.
Reducing image file sizes for deploying software
A recently granted patent (Publication Number: US11928452B2) discloses a computer-readable medium comprising program code that enables a processor to receive target software information and generate a customized image file for deploying the software in a computing environment. The program code allows the processor to determine a threshold amount of the software's dependencies needed in a base image file, select the base image file based on this criterion, and build the customized image file using the chosen base image file. Additionally, the patent includes provisions for extracting network addresses from existing image files, obtaining source code for the software, analyzing dependencies, and customizing the image file based on user preferences.
Furthermore, the patent details methods for identifying overlapping dependencies between different software, selecting base image files based on these dependencies, and excluding extraneous software items from the customized image file. It also describes a process for updating the image file to address vulnerabilities in dependencies, deploying multiple instances of the software, and shutting down instances with vulnerabilities. The patent emphasizes user customization options for setting the threshold amount of dependencies and receiving user inputs for this purpose. Overall, the patent aims to streamline the process of creating customized image files for deploying software in computing environments by efficiently managing dependencies and optimizing image file selection based on specific criteria.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
