Abstract: In certain embodiments, techniques are provided (e.g., a method, a system, non-transitory computer-readable medium storing code or instructions executable by one or more processors) to provide data visualization and management services for files stored in a cloud storage system. In some embodiments, a tenant (e.g., an end user, customer, or subscriber to a cloud storage service) can view how their data is stored across data centers within a cloud storage service. A cloud file manager can analyze the tenant's data stored in the cloud storage service, and generate a data visualization interface that provides a fine grained visual representation of the tenant's data across the cloud storage service. In some embodiments, the tenant can define storage profiles and/or modify existing data storage locations dynamically through the data visualization interface. This simplifies data management for the tenants and provides increased flexibility of managing data in the cloud storage service.

Abstract: In certain embodiments, techniques are provided (e.g., a method, a system, non-transitory computer-readable medium storing code or instructions executable by one or more processors) to provide data visualization and management services for files stored in a cloud storage system. In some embodiments, a tenant (e.g., an end user, customer, or subscriber to a cloud storage service) can view how their data is stored across data centers within a cloud storage service. A cloud file manager can analyze the tenant's data stored in the cloud storage service, and generate a data visualization interface that provides a fine grained visual representation of the tenant's data across the cloud storage service. In some embodiments, the tenant can define storage profiles and/or modify existing data storage locations dynamically through the data visualization interface. This simplifies data management for the tenants and provides increased flexibility of managing data in the cloud storage service.

Abstract: Feature and deployment recommendation systems and methods for content management systems comprises a vendor-site deployment and one or more customer-site deployments. The vendor-site deployment is configured to recommend an adaptation of any of the one or more customer-site deployments. The vendor-site deployment including a customer configuration repository adapted to store content usage metrics received from one or more customer-site deployments, an analytical engine configured to generate content usage patterns based on the stored content usage metrics, and a recommendation engine configured to recommend the adaptation.

Abstract: Feature and deployment recommendation systems and methods for content management systems comprises a vendor-site deployment and one or more customer-site deployments. The vendor-site deployment is configured to recommend an adaptation of any of the one or more customer-site deployments. The vendor-site deployment including a customer configuration repository adapted to store content usage metrics received from one or more customer-site deployments, an analytical engine configured to generate content usage patterns based on the stored content usage metrics, and a recommendation engine configured to recommend the adaptation.