Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud, modified, or deleted to optimize performance. The information from these modules is processed to create a visualization graph representing information on the cloud. The visualization graph is preferably multilayered so it can display information from different hierarchical layers of a cloud instance.

Abstract: An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud, modified, or deleted to optimize performance. The information from these modules is processed to create a visualization graph representing information on the cloud. The visualization graph is preferably multilayered so it can display information from different hierarchical layers of a cloud instance.

Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud, modified, or deleted to optimize performance. The information from these modules is processed to create a visualization graph representing information on the cloud. The visualization graph is preferably multilayered so it can display information from different hierarchical layers of a cloud instance.

Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud to optimize performance.

Abstract: An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Abstract: An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud to optimize performance.

Abstract: An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud to optimize performance.

Abstract: An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Abstract: A system that transforms non-SaaS applications into tenant-aware SaaS applications is disclosed, which analyzes the non SaaS applications to determine which intercepts to external libraries need to be translated into SaaS intercepts that utilize SaaS tenancy services, SaaS operations services, and/or SaaS business services. The system transforms the non-SaaS applications into SaaS applications by providing intercept handlers that call SaaS services on demand when the transformed SaaS application throws a transformed SaaS interrupt.

Abstract: A system that transforms non-SaaS applications into tenant-aware SaaS applications is disclosed, which analyzes the non SaaS applications to determine which intercepts to external libraries need to be translated into SaaS intercepts that utilize SaaS tenancy services, SaaS operations services, and/or SaaS business services. The system transforms the non-SaaS applications into SaaS applications by providing intercept handlers that call SaaS services on demand when the transformed SaaS application throws a transformed SaaS interrupt.

Abstract: A system that transforms non-SaaS (non Software as a Service) applications into tenant-aware SaaS (Software as a Service) applications is disclosed, which analyzes the non SaaS applications to determine which intercepts to external libraries need to be translated into SaaS intercepts that utilize SaaS tenancy services, SaaS operations services, and/or SaaS business services. The system transforms the non-SaaS applications into SaaS applications by providing intercept handlers that call SaaS services on demand when the transformed SaaS application throws a transformed SaaS interrupt.

Abstract: An accurate monitoring system for a multi-tenant system monitors each data stream of the multi-tenant system and determines the identity of the tenant using each of the data streams, and the application that the tenant is accessing. Aspects of each data stream are aggregated by a bucket aggregator to track and record trends for each tenant and/or each application. The aggregated data could be filtered, sorted, and reported for accurate subscription billing for each of the tenants and/or applications within a multi-tenant system.

Abstract: A system that generates deployment topology maps for various modules of a non-tenant-aware application to migrate to a tenant-aware application on a tenant-aware cloud-based infrastructure. The system analyzes the non-tenant-aware application and constructs various deployment topology maps for the non-tenant-aware application, and then maps the deployment topology maps to the virtualized cloud-based infrastructure. Various migration plans are then developed to assist in deployment of the non-tenant-aware application to the cloud-based infrastructure to create a tenant-aware application installed on the cloud-based infrastructure.

Abstract: A system for estimating the costs to migrate a non-tenant-aware application to an equivalent tenant-aware application is disclosed. The system scans and identifies local resources used by the non-tenant-aware application and matches the identified local resources with cloud resources capable of sustaining an equivalent tenant-aware application. The system estimates the cost to migrate the non-tenant-aware application based upon the matched resources and exports a summary of the estimated costs.

Abstract: A system that transforms non-SaaS applications into tenant-aware SaaS applications is disclosed, which analyzes the non SaaS applications to determine which intercepts to external libraries need to be translated into SaaS intercepts that utilize SaaS tenancy services, SaaS operations services, and/or SaaS business services. The system transforms the non-SaaS applications into SaaS applications by providing intercept handlers that call SaaS services on demand when the transformed SaaS application throws a transformed SaaS interrupt.

Abstract: A system for migrating a non-tenant-aware local application to a tenant-aware cloud application environment is disclosed to migrate individual modules of the application to instances of the cloud by grouping the modules via common characteristics in partition groups. By grouping modules together by partition group before migrating the modules to cloud instances, modules that share resources can be placed in closer logical proximity to one another in the cloud to optimize performance.