Abstract: Approaches of reassigning a home region from a first data center to a second data center as requested by a customer are described herein. The home region is able to implement write operations to a domain, whereas other data centers cannot implement write operations to the domain. The customer can request the home region being reassigned to another data center such that the customer can utilize the other data center to implement write operations to the domain.

Abstract: An approach of performing data center failover using an address that indicates a backup data center. The address includes common names indicating a data center with a domain and a backup datacenter with a replica of the domain. A cloud service provider can receive the address, establish a connection with an available data center, and failover to the backup data center if the data center with the connection becomes unavailable.

Abstract: Approaches of reassigning a home region from a first data center to a second data center as requested by a customer are described herein. The home region is able to implement write operations to a domain, whereas other data centers cannot implement write operations to the domain. The customer can request the home region being reassigned to another data center such that the customer can utilize the other data center to implement write operations to the domain.

Abstract: A caching framework for a multi-tenant cloud-based system includes a plurality of microservices, a global cache that implements a global namespace, and a plurality of tenant caches, each tenant cache corresponding to a different tenant of the multi-tenant cloud-based system. The framework further includes a common module corresponding to each of the microservices and comprising a cache application programming interface (API), and a cache module comprising a service provider interface (SPI) adapted to connect to a distributed remote cache.

Abstract: A system provides cloud-based identity and access management. The system receives a request for an identity management service, authenticates the request, and forwards the request to a microservice configured to perform the identity management service, where the microservice is implemented by a microservice virtual machine provisioned by a provisioning framework, and the forwarding is according to routing information configured based on metadata information stored in a registry by the provisioning framework. The system then performs the identity management service by the microservice.

Abstract: Embodiments perform write operations in a multi-tenant cloud system that includes a first data center adapted to authenticate a first plurality of registered clients and located in a first geographic area, and a second data center adapted to authenticate a second plurality of registered clients and located in a second geographic area that is different from the first geographic area. Embodiments receive a request from a first client to perform a first write for a resource at the second data center. Embodiments generate a call to the first data center including a second write for the resource at the first data center. Embodiments retrieve data corresponding to the first write and send the retrieved data to the first data center. Embodiments write on the data based on the first write, the writing on the data including changing the data to generate changed data.

Abstract: A computer-implemented method for thin provisioning using cloud based ranks comprises determining a total amount of unused physical storage space for all of a plurality of local ranks associated with a storage controller; comparing the total amount of unused physical storage space to a first threshold; in response to determining that the total amount of unused physical storage space is less than the first threshold, creating one or more cloud based ranks. Creating each of the one or more cloud based ranks comprises allocating storage space on one or more corresponding cloud storage devices via a cloud interface; mapping the allocated storage space to corresponding virtual local addresses; and grouping the virtual local addresses as a virtual local rank associated with the storage controller.

Abstract: A system provides cloud-based identity and access management. The system receives a request from a client for a resource, authenticates the request, and accesses a microservice based on the request. The system determines, by the microservice, whether the resource is cached in a near cache or in a remote cache, retrieves the resource from the near cache or from the remote cache when the resource is cached, and calls an administration microservice to obtain the resource when the resource is not cached. The system then provides the resource to the client.

Abstract: A caching framework for a multi-tenant cloud-based system includes a plurality of microservices, a global cache that implements a global namespace, and a plurality of tenant caches, each tenant cache corresponding to a different tenant of the multi-tenant cloud-based system. The framework further includes a common module corresponding to each of the microservices and comprising a cache application programming interface (API), and a cache module comprising a service provider interface (SPI) adapted to connect to a distributed remote cache.

Abstract: A computer-implemented method for utilizing cloud storage as a rank comprises allocating storage space on one or more cloud storage devices via a cloud interface; mapping the allocated storage space to corresponding virtual local addresses; grouping the virtual local addresses to create one or more virtual local ranks from the allocated storage space on the one or more cloud storage devices; converting local data access requests for the one or more virtual local ranks to cloud data access requests configured for the cloud interface; and communicating the cloud data access requests to the one or more cloud storage devices via the cloud interface.

Abstract: A system provides cloud-based identity and access management. The system receives a request for an identity management service, authenticates the request, and forwards the request to a microservice configured to perform the identity management service, where the microservice is implemented by a microservice virtual machine provisioned by a provisioning framework, and the forwarding is according to routing information configured based on metadata information stored in a registry by the provisioning framework. The system then performs the identity management service by the microservice.

Abstract: A computer-implemented method for using cloud based ranks as replica storage comprises allocating storage space on cloud storage devices via a cloud interface; mapping the allocated storage space on the cloud storage devices to corresponding virtual local addresses; grouping the virtual local addresses to create at least one cloud based rank from the allocated storage space on the cloud storage devices; designating a cloud based rank as cloud based replica storage for a corresponding primary storage; assigning a service level to the cloud based replica storage based, at least in part, on characteristics of data being mirrored to the cloud based replica storage and a rate at which the data is mirrored to the cloud based replica storage; and dynamically adjusting the service level assigned to the cloud based replica storage in response to a command to swap the cloud based replica storage with the corresponding primary storage.

Abstract: Embodiments implement data versioning in a cloud-based identity management system. Embodiments provide a first microservice for performing an identity management service and having a corresponding first version application programming interface (“API”) that identifies the first microservice. Embodiments provide a second microservice for performing the identity management service, the second microservice comprising a new version of the first microservice and having a corresponding second version API that identifies the second microservice. Embodiments receive a request for performing the identity management service from a client of the identity management system, the request including a uniform resource locator (“URL”), where the first version API or the second version API are identified in the URL. Embodiments then perform the identity management service using either the first microservice or the second microservice based on the request and using tenant data stored in a database.

Abstract: A system provides cloud-based identity and access management. The system receives a request for an identity management service, authenticates the request, and forwards the request to a microservice configured to perform the identity management service, where the microservice is implemented by a microservice virtual machine provisioned by a provisioning framework, and the forwarding is according to routing information configured based on metadata information stored in a registry by the provisioning framework. The system then performs the identity management service by the microservice.

Abstract: A computer-implemented method for thin provisioning using cloud based ranks comprises determining a total amount of unused physical storage space for all of a plurality of local ranks associated with a storage controller; comparing the total amount of unused physical storage space to a first threshold; in response to determining that the total amount of unused physical storage space is less than the first threshold, creating one or more cloud based ranks. Creating each of the one or more cloud based ranks comprises allocating storage space on one or more corresponding cloud storage devices via a cloud interface; mapping the allocated storage space to corresponding virtual local addresses; and grouping the virtual local addresses as a virtual local rank associated with the storage controller.

Abstract: An example method for dynamic data relocation using cloud based ranks comprises monitoring accesses to data stored on a plurality of local ranks of an enterprise storage system; identifying data which has not been accessed for a predetermined amount of time based on the monitored accesses; and moving the data which has not been accessed for the predetermined amount of time to one or more cloud based ranks of the enterprise storage system, wherein each cloud based rank comprises storage space on one or more cloud storage devices, the storage space on the one or more cloud storage devices mapped to corresponding virtual local addresses that are grouped as a virtual local rank.

Abstract: Embodiments perform write operations in a multi-tenant cloud system that includes a first data center adapted to authenticate a first plurality of registered clients and located in a first geographic area, and a second data center adapted to authenticate a second plurality of registered clients and located in a second geographic area that is different from the first geographic area. Embodiments receive a request from a first client to perform a first write for a resource at the second data center. Embodiments generate a call to the first data center including a second write for the resource at the first data center. Embodiments retrieve data corresponding to the first write and send the retrieved data to the first data center. Embodiments write on the data based on the first write, the writing on the data including changing the data to generate changed data.

Abstract: A computer-implemented method for thin provisioning using cloud based ranks comprises determining a total amount of unused physical storage space for all of a plurality of local ranks associated with a storage controller; comparing the total amount of unused physical storage space to a first threshold; in response to determining that the total amount of unused physical storage space is less than the first threshold, creating one or more cloud based ranks. Creating each of the one or more cloud based ranks comprises allocating storage space on one or more corresponding cloud storage devices via a cloud interface; mapping the allocated storage space to corresponding virtual local addresses; and grouping the virtual local addresses as a virtual local rank associated with the storage controller.

Abstract: An example method for dynamic data relocation using cloud based ranks comprises monitoring accesses to data stored on a plurality of local ranks of an enterprise storage system; identifying data which has not been accessed for a predetermined amount of time based on the monitored accesses; and moving the data which has not been accessed for the predetermined amount of time to one or more cloud based ranks of the enterprise storage system, wherein each cloud based rank comprises storage space on one or more cloud storage devices, the storage space on the one or more cloud storage devices mapped to corresponding virtual local addresses that are grouped as a virtual local rank.

Abstract: A computer determines free space of the thinly provisioned box and calculates a time of consumption of the free space. The computer increases a dispatch and a priority of a clean-up job based on determination that the time of consumption is below a threshold time of consumption value. The increase of the dispatch is performed by deletion of dirty extents from the thinly provisioned box. The priority of the clean-up job represents a priority for execution of a cleaning program on the thinly provisioned box, where the clean-up job deletes the dirty extents from the thinly provisioned box. The computer executes the clean-up job before allocation of a new extent in the free space of the thinly provisioned box based on determination that the free space is below a critical level value, where the new extent may reduce the free space of the thinly provisioned box.