Emc IP Holding Company LLC

Dell Products Inc.

Venkat Reddy

Mark Adam Arakelian

Debra Robitaille

Tamilarasan Janakiraman

Kannan Subbaraman

Sindhura Chamala

David Biernacki

Parthasarathi Ilangovan

Belagapu Kumar

Kiran Kumar G Ramegowda

Suhas K B

Gayatri Singh Balaji

Belagapu Pradeep Kumar

Santosh Govindrao Bhandiwad

A boot image is modified to require authentication based on stable system values that are uniquely associated with a storage array. The stable system values may be used as a key to decrypt a password. The modified boot image will not allow booting to proceed without the decrypted password. The password cannot be decrypted based on different stable system values such as the stable system values of other storage arrays.

Authenticated boot to protect storage system data by restricting image deployment

An apparatus comprises at least one processing device coupled to memory. The at least one processing device is configured to obtain a secured disk image comprising an encrypted manifest file, an encrypted install binary and a plurality of other files. The at least one processing device is further configured to obtain a certificate corresponding to the secured disk image and to derive a public key based at least in part on the certificate. The at least one processing device is further configured to decrypt the manifest file and the install binary based at least in part on the public key and to validate checksums for respective ones of the plurality of other files against corresponding checksums contained in the decrypted manifest file. The at least one processing device is further configured to execute the decrypted install binary responsive to validation of the checksums for the respective ones of the plurality of other files.

Virtual host upgrade using a secured disk image

A method of providing an error occurrence estimate for a proposed software update, before the proposed software update is created, includes training a learning process to cause the learning process to learn a correlation between the complexity of the previous software updates and the error occurrences of the previous software updates. The complexity information may include the number of lines of code and the number of check-in operations that occurred in connection with creation of the previous software updates. The trained learning process is then provided with expected complexity information of a proposed software update, and used to generate an error estimate including the number of errors that are likely to occur, the severity of the errors that are likely to occur, and the amount of software developer time that should be expected to be incurred to correct the errors.

Method and apparatus for predicting errors in to-be-developed software updates

A data processing device includes persistent storage and a software development manager. The persistent storage stores a code repository. The software development manager generates commit impact information based on: pre-commit code for a code base stored in the code repository, and dependency data based on committed code of the code base; displays a pre-commit analysis graphic user interface (GUI) reflecting the commit impact information and testing information for the pre-commit code; obtains, using the displayed pre-commit analysis GUI, reviewer feedback regarding approval of the pre-commit code; makes a determination, based on the reviewer feedback, that the pre-commit code has been approved; in response to the determination: performs limited testing of the code base based upon the dependency data to obtain testing results; and commits the pre-commit code to the committed code when the testing results match a predetermined behavior.

System and method for managing a code repository

Growing community of inventors

Bengaluru, India

Venkat Reddy