Vmware, Inc.

Oracle International Corporation

Shalini Krishna

Kundan Sinha

Govindraja Achar

John E Brezak

Kiran Gunti

Supriya Hegde

Chandan Nandagopal Reddy

Mudit Maheshwari

Rakshitha Gn

Nitin Misra

Surya Moitra

The present disclosure is related to devices, systems, and methods for TLS server certificate replacement using a notification mechanism. An example method can include establishing a first secure TLS connection between a client and a server verified by a first TLS certificate, creating a subscription for the client to receive a notification associated with a TLS certificate change, loading a second certificate to replace the first certificate, providing a notification to the client, wherein the notification includes the second certificate and a web token scoped to the client, and establishing a second secure TLS connection verified by the second TLS certificate responsive to the client verifying the web token.

TLS server certificate replacement using a notification mechanism

A method of managing the sharing of inventory data across a plurality of data centers, includes the steps of detecting a change made to the inventory data by one of the data centers, updating a desired state document that specifies a desired state of each of the data centers, the updated desired state document including the inventory data as changed, and instructing each of other ones of the data centers to update the inventory data using the updated desired state document. Each of the data centers employ a database for storing the inventory data, and so after the remaining ones of the data centers have updated the inventory data using the updated desired state document, the change made to the inventory data stored in the database of one of the data centers is replicated in the respective databases of the remaining ones of the data centers.

Replication of inventory data across multiple software-defined data centers

Embodiments perform an automated process flow using machine learning. Embodiments train a machine learning component using training data that represents a user's past interactions with a software application when performing a plurality of process flows. Each process flow includes a series of tasks in a sequence. Embodiments receive data related to tasks within the software application. Embodiments predict, using the trained machine learning component, a series of tasks and a sequence for the predicted series of tasks based on the received data. Embodiments then perform the predicted series of tasks in the predicted sequence.

Automated process flow learning

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Bengaluru, India

Shalini Krishna