Abstract: Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.

Abstract: Workflow definitions are broken into a set of components. Each workflow component has an instance-specific workflow definition that it operates from. Different steps can be injected into different workflow instance-specific definitions, based upon a given state of each individual workflow instance.

Abstract: Instrumenting code. One embodiment includes identifying a line of source code having an incomplete instrumentation. A unique identifier tag is obtained from an identifier source. The unique identifier tag is inserted into the instrumentation.

Abstract: Customizations, made at various levels in the customization channel, are saved as separate sets of customization deltas that are applied to a base computing system in order to generate a given solution. In a multi-tenant environment, groups of tenants access different solutions or customization deltas. The tenants are automatically grouped, based upon the solution or customization deltas that they access, and the deltas for those customizations are applied to the base system at runtime, for each group.

Abstract: Customizations, made at various levels in the customization channel, are saved as separate sets of customization deltas that are applied to a base computing system in order to generate a given solution. In a multi-tenant environment, groups of tenants access different solutions or customization deltas. The tenants are automatically grouped, based upon the solution or customization deltas that they access, and the deltas for those customizations are applied to the base system at runtime, for each group.

Abstract: Workflow definitions are broken into a set of components. Each workflow component has an instance-specific workflow definition that it operates from. Different steps can be injected into different workflow instance-specific definitions, based upon a given state of each individual workflow instance.

Abstract: Customizations, made at various levels in the customization channel, are saved as separate sets of customization deltas that are applied to a base computing system in order to generate a given solution. In a multi-tenant environment, groups of tenants access different solutions or customization deltas. The tenants are automatically grouped, based upon the solution or customization deltas that they access, and the deltas for those customizations are applied to the base system at runtime, for each group.

Abstract: Workflow definitions are broken into a set of components. Each workflow component has an instance-specific workflow definition that it operates from. Different steps can be injected into different workflow instance-specific definitions, based upon a given state of each individual workflow instance.

Abstract: Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.

Abstract: Instrumenting code. One embodiment includes identifying a line of source code having an incomplete instrumentation. A unique identifier tag is obtained from an identifier source. The unique identifier tag is inserted into the instrumentation.

Abstract: An item to be processed is received and scanned. The scan identifies any functions or procedures in the item being processed, and extracts actual code representing those functions or procedures. Any invoking functions, which invoke the identified function, are, themselves, identified. Actual code for the invoking function is extracted as well. An output documentation file is generated that includes a name of the identified function or procedure, as well as actual code for the function or procedure, and actual code from at least one example of an invoking function.

Abstract: An item to be processed is received and scanned. The scan identifies any functions or procedures in the item being processed, and extracts actual code representing those functions or procedures. Any invoking functions, which invoke the identified function, are, themselves, identified. Actual code for the invoking function is extracted as well. An output documentation file is generated that includes a name of the identified function or procedure, as well as actual code for the function or procedure, and actual code from at least one example of an invoking function.

Abstract: Workflow definitions are broken into a set of components. Each workflow component has an instance-specific workflow definition that it operates from. Different steps can be injected into different workflow instance-specific definitions, based upon a given state of each individual workflow instance.

Abstract: A data access request for data that is provided from a data provider corresponding to an external data source. The data access request is transformed into a call supported by the external computing system. Data that is responsive to the call is received in a form provided by the external computing system, and the data is transformed into a form expected by the native system. The transformed data is returned to the requestor through the API.

Abstract: Customizations, made at various levels in the customization channel, are saved as separate sets of customization deltas that are applied to a base computing system in order to generate a given solution. In a multi-tenant environment, groups of tenants access different solutions or customization deltas. The tenants are automatically grouped, based upon the solution or customization deltas that they access, and the deltas for those customizations are applied to the base system at runtime, for each group.

Abstract: A cache manager application provides a data caching policy in a multiple tenant enterprise resource planning (ERP) system. The cache manager application manages multiple tenant caches in a single process. The application applies the caching policy. The caching policy optimizes system performance compared to local cache optimization. As a result, tenants with high cache consumption receive a larger portion of caching resources.

Abstract: A local service system receives a call from a local application. The local service system determines whether an acceptable result to return for the call is already stored in a local service cache. If not, the local service system calls a remote service system to obtain a result, it returns the result to the local application, and stores the result in the local service cache.

Abstract: A computer-implemented method of modifying execution behavior of a programmatic unit of source code is provided. The method includes loading the programmatic unit of source code and determining whether at least one customization is defined for the programmatic unit. The at least one customization is selectively executed based on whether a prerequisite of the customization is satisfied.

Abstract: An enterprise resource planning (ERP) system provides efficient maintenance and upgrade of tenant databases utilizing shared schema. A schema change is propagated from a master to tenants. Support is provided for tenants to be offline. The schema changes are applied at a mount time. Server load associated with the ERP database is distributed when tenant databases are updated with new schema changes. Changes to the application metadata (table schemas) is detected and applied to multiple tenants at a runtime.

Abstract: A cache manager application provides a data caching policy in a multiple tenant enterprise resource planning (ERP) system. The cache manager application manages multiple tenant caches in a single process. The application applies the caching policy. The caching policy optimizes system performance compared to local cache optimization. As a result, tenants with high cache consumption receive a larger portion of caching resources.