Microsoft Technology Licensing, LLC

Roberta Cannerozzi

Joe Keng Yap

Simon Bourdages

Wenyu Cai

Ron Shimon Estrin

Zachary Adam Koehne

Nidhi Verma

Patrick Simek

Sean L Livingston

Ghania A Moussa

Mahadevan Thangaraju

Yu-Ting Lin

Trung Duc Nguyen

Sukhvinder Singh Gulati

Ben Canning

Le Chang

Rahul Nigam

David Charles Oliver

Ankur Jauhari

Darius Snapkauskas

Kjetil Krogvig Bergstrand

Min Shao

Vladimir V Gvozdev

Shobana Krishnamoorthy

Phillip I Beish

Adam D Troy

Mircea Neagovici-Negoescu

Anund Lie

Kathrine Hammervold

Sudharsan Ganesan

Harpreet Miglani

Niels Petter Rasch-Olsen

Jeremy Grubaugh

Liang Zheng

Dylan Thomas Nunley

Maya Angele Pelichet

Chetan Pawgi

Avery Morin

Hale Zheng

Lars Kirkholt Melhus

Erik Wahlstrom

Jørgen Løland

Brian Gregory O'connor

Graham Kent

Yaw Oduro Amoateng

Åsmund Grammeltvedt

Ola Natvig

Wei-Han Chang

Roman Werpachowski

Aaron John Cronin

The disclosed technology is generally directed to a personalized feed. In one example of the technology, selected key-value pairs from a profile associated with a user are provided. Based on a prompt that includes natural-language text instructions, the selected key-value pairs, and ranked content, a large language model is used to generate: pill prompts associated with the ranked content, such that the pill prompts are information requests that are unique and personalized to have particular relevance to the user based on selected key-value pairs, and a response to each pill prompt such that the response includes content corresponding to the requested information. A content feed is displayed to the user, including displaying selectable pills to the user as part of the displayed content feed such that each selectable pill includes a corresponding pill prompt. The response to the pill prompt that corresponds to the selection is displayed to the user.

User interface including personalized feed with dynamically generated prompts

The techniques disclosed herein enable improved security as well as more scalable and reliable job execution by utilizing granular security boundaries and certificate-based authentication for all communication within cloud-based platforms. To manage a cloud-based platform, a system receives a plurality of jobs and associated certificates at a first security boundary that are to be executed at various resource units within a second security boundary. The system then authenticates each certificate before transmitting each job to its respective resource unit for execution. In addition, the system is further configured to monitor active certificates for compromise and accordingly isolate various security boundaries in the event of a security breach. By isolating portions of the cloud-based platform within security boundaries, the system can mitigate the impact of security breaches. Furthermore, certificate-based authentication addresses performance constraints to enable more efficient and scalable job execution.

Resource unit isolation for increased safety and security in cloud services

Technologies are disclosed for improving the deployment of a cloud-hosted service. Before being deployed to a particular environment, a cloud-hosted service must be configured for that environment. Configuring a deployment includes determining which components to deploy, determining how to connect with external components, identifying onboarding procedures, etc. A dependency data model defines a hierarchy of components utilized by the cloud-hosted service. For each component in the hierarchy, configuration parameters define how to deploy that component. A list of configuration parameters that do not yet have values for a target environment may be generated and provided to a user. Values for these parameters may then be received. A configuration for the target environment is then generated based on the dependency data model and the received values. The dependency data model may inherit dependencies and configuration properties from ancestors in a hierarchy of dependency data models.

Cloud service component dependencies

A cloud-based migration system exposes a source-independent application programming interface for receiving data to be migrated. The data is uploaded and stored as a single entity in a cloud-based storage system. A migration system then accesses the migration package and begins migrating the data to its destination, from the cloud-based storage system.

Data migration to a cloud computing system

The techniques disclosed herein enable systems to deploy upgrade events in a controlled manner to different resource units that provide a service utilizing predefined rollout policies. To deploy an upgrade event, a system determines a risk factor for the upgrade event and presents predefined rollout policies to a feature group for selection based on the risk factor. Upon selection of a rollout policy, the system can deploy the upgrade event according to parameters defined by the selected rollout policy. The system is further configured to analyze telemetry data received from the resource units to determine an updated risk factor and determine whether the updated risk factor crosses a risk factor threshold. If the updated risk factor crosses the threshold, the system can identify another rollout policy to replace the selected policy. In addition, the system can receive an override workflow request to expedite upgrade event deployment.

Reliable deployment of upgrade events for a service based on predefined rollout policies

Documents in a local computing system are parsed for indexing and sent to a cloud-based computing system. The cloud-based search service indexes documents that are parsed on the local computing system, as well as documents that reside in the cloud-based computing system. When a user launches a search, the search is executed against a single search index in the cloud-based computing system, which includes an index of content sources from both the local computing system and the cloud-based computing system.

Hybrid search connector

Various systems and methods for provisioning migration containers are disclosed. A system includes a memory and a processor to generate a migration container and migration metadata. The migration container can store data verified as encrypted with an encryption key and the migration metadata can include a lifespan value indicating a time limit for the migration container. In an example, the system can, in response to a request from a user device, provide the encryption key and a migration container path corresponding to a location of the migration container to the user device. In an example, the system can store data in the migration container in response to detecting the data from the user device via the migration container path. The system can migrate the data in the migration container to a server, and delete the migration container in response to the time limit of the lifespan value being exceeded.

Migration containers

Growing community of inventors

Bellevue, WA, United States of America

Roberta Cannerozzi