International Business Machines Corporation

Kyndryl, Inc.

Kavitha Suresh Kumar

Puthukode G Ramachandran

Lohitashwa Thyagaraj

Venugopala K Vemula

Urwashi Sharma

Duraimurugan Govindasamy

A method includes receiving, by a computing device, metrics identifying vulnerabilities in an application; collecting, by the computing device, information related to the vulnerabilities; assigning, by the computing device, weights to the metrics using collected information; applying, by the computing device, a machine learning model on the weighted metrics; and generating, by the computing device, a predictive score for the vulnerabilities using the machine learning model.

Application security scoring

Techniques are disclosed for initializing an application composed of multiple software containers, where one or more of the software containers are associated with dependent software containers. A request is received to initialize the application. A dependency manager determines, from a map identifying associations between each of the software containers, whether a software container is associated with any dependent software containers. Upon determining that the software container is associated with dependent software containers, the dependency manager enables a notification setting in the software container. The dependency initializes the software container.

Techniques for managing software container dependencies

A method for a messaging engine to control messaging within a virtual machine having a heap includes creating a list of destinations associated with a messaging engine and receiving parameters associated with the heap. The message production rates are controlled using the parameters and heap usage. For example, the parameters may include a lower limit that indicates that message production should be decreased (i.e., throttled back) and a step-down value. Using the lower limit and the step-down value, intermediate throttle-back thresholds are created, and when the heap usage transitions from below one of the intermediate throttle-back thresholds to above the intermediate throttle-back threshold, the message production rate is decreased. Further, other parameters may include an upper limit and a step-up value, which are used to determine intermediate throttle-up thresholds that indicate when the message production rate may be increased (i.e., throttled up).

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Bengaluru, India

Kavitha Suresh Kumar