Citrix Systems, Inc.

Microsoft Technology Licensing, LLC

Yongyu Chen

Lei Xu

John Carlo Vincent Cattaneo

Liang Bao

Wei Long

Pengcheng Zhang

Yizhong Wu

Wei Deng

Minming Guo

Ruiqi Liang

The present technology provides a method to regenerate secrets while a version of the system is operational, thus avoiding the loss of availability that would have resulted from a system shutdown. The technology described herein may work in a computing context that assigns a first secret in an active role and a second secret in the backup role. The technology described herein activates a second instance of the service with the key not being regenerated serving as the active key. The second instance is then moved to the production mode and the first version of the service is moved to the staging mode. A new secret is generated and then assigned to the first instance of the service while it runs in the staging mode. Once the secret rotation is complete, the primary service instance is then moved back to the production mode with the new key configuration.

Secret rotation in a cloud service

Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.

Auto-scaling for allocation of cloud service resources in application deployments

Techniques are disclosed for content storage in a way that facilitates consistent and concurrent read/write processing of stored documents. An example methodology implementing the techniques includes segmenting the contents of a document into a plurality of content segments and storing the plurality of content segments within a data structure, the data structure including storage blocks having storage portions and buffer portions. The storage of the plurality of content segments includes storage of content segments within a storage portions of the storage blocks of the data structure. The method also includes receiving at least one change to the content and utilizing a buffer portion of at least one storage block to store the at least one change to the content.

Document storage and management

A method, computer program product, and computer system for determining, by a computing device, a service instance count for each of a plurality of services to be executed on a plurality of host devices. A similarity between the plurality of services may be determined. A host instance count for the plurality of host devices may be determined based upon, at least in part, the similarity between the plurality of services. Each service instance may be allocated to a respective host device for execution based upon, at least in part, the similarity between the plurality of services, the service instance count, and the host service count.

Systems and methods for service resource allocation and deployment

Described embodiments provide systems and methods for resource scaling. A computing device may include a data processor. The data processor may receive, from a distributed database service (DDS), usage data on resource request-units from a plurality of services that use resources provided by the DDS. The computing device may include a transform agent. The transform agent may transform at least a subset of the N sets of data, into at least three transformed datasets each corresponding to a different frequency range. The computing device may include a predictor. The predictor may provide a predicted value of request-units according to the at least three transformed datasets. The predictor may request the DDS to provide the resources up to a number of request-units at a given time instance according to the predicted value.

Resource scaling for distributed database services

Described embodiments provide systems and methods of maintaining message queues during deployments of application updates. A queue manager may maintain a first message queue including a first channel for messages between a first release and a second release. The first release and the second release may write to and read from the first message queue. The queue manager may establish, responsive to deployments, a second message queue including a second channel for messages between the first release and the second release. The queue manager may transfer, from the first message queue to the second message queue, the first channel. The first release and the second release may cease to write to and read from the first message queue.

Growing community of inventors

Nanjing, China

Yongyu Chen