System and Method for Managing Cloud Deployment Configuration Files and Container Base Images

    公开(公告)号:US20240168744A1

    公开(公告)日:2024-05-23

    申请号:US18095565

    申请日:2023-01-11

    CPC classification number: G06F8/63 G06F8/65 G06F8/75

    Abstract: A system and a method for managing cloud deployment configuration files and container base images for applications is provided. One or more application source code associated with configuration files and container images of applications are analyzed based on one or more pre-defined rule sets for determining cloud platform best-practice violations associated with the application source code. Further, impact on the application source code due to cloud platform changes is identified based on one or more search sets. Further, one or more remediation actions are executed for rectifying the determined cloud platform best-practice violations associated with the impacted application source code based on one or more remediation types. Base images of the container images are validated to be secure and without vulnerabilities. Lastly, a test run is triggered to determine that the remediation actions have not removed functionalities associated with the application source code.

    SYSTEM AND METHOD FOR ANTI-PATTERN DETECTION FOR COMPUTING APPLICATIONS

    公开(公告)号:US20210182703A1

    公开(公告)日:2021-06-17

    申请号:US16835642

    申请日:2020-03-31

    Abstract: A system and method for anti-pattern detection for computing application prior to deployment in cloud environment is provided. The present invention provides for applying a pre-defined set of rules on one or more applications source code. The pre-defined set of rules are applied in pre-defined order. Further, applying one or more anti-pattern detection models on one or more applications source code. The anti-pattern detection models are applied for determining correlation between one or more syntax patterns of the application source code and the anti-patterns detection models. Further, detecting anti-patterns associated with the syntax patterns of the application source code based on the pre-defined set of rules and the anti-patterns detection models. The detected anti-patterns represent unique anti-patterns. Lastly, generating a migration actionable event for the application source code based on the detected anti-patterns.

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