Oracle International Corporation

Rajan Mahendrakumar Modi

Greg Gravenites

Muthukumar Palanisamy

Arif Rafique

Colin Harsh

Adinarayana Bellala

Vijay Kendai

Venkatesh Mohanram

Michael Hwang

Levente Gergely

Irene Fan

Johnny Gau

Syed Najeeb Andrabi

Prabhu Thukkaram

Axel Allgeier

Rajesh Raheja

Simone Geib

Muthu Palanisamy

Virupaksha Vajragiri

Avi Borthakur

Viresh Chandrakant Amin

Andy Van Hoesen

Ansuman Padhy

Renukaradhya Haroketanahalli Dakshinamurthy

Gurunathan Mookaiah

Zoltan Fleisz

Herb Stiel

Akash K C

Carli Gray

Csaba Filipinyi

Satish Ramanathan

Joseph Lawrence Raja

Mohamed Aariff

Robert David Wunderlich, Jr

Munazza Bukhari

Hari Gandhi

Sindhu Suresh

Chor Chung Ng

Arnold Ng

Techniques are disclosed herein for onboarding users from a single tenant cloud environment to a multi-tenant cloud environment. In one aspect, a method is provided that includes in response to an eligibility status check indicating that a first cloud service instance running a first version of a cloud service in a first cloud environment is eligible for the upgrade, exporting a copy of data from the first cloud service instance to a common storage device, provisioning a second cloud service instance running on the second version of the cloud service in a second cloud environment, importing the first copy of the data from the common storage device to the second cloud service instance, and activating the second cloud service instance to run the second version of the cloud service. During the exporting, provisioning, and importing the first cloud service instance continues to run the first version of the cloud service.

Onboarding of customers from single tenant to multi-tenant cloud-native integration server

In accordance with an embodiment, described herein are systems and methods for auto-completion of ICS flow using artificial intelligence/machine learning. Next actions prediction is a service that assists users in modeling the flows quickly by predicting and suggesting the next set of actions a user might be thinking of adding. The service also assists the user to follow some of the best practices while creating an integration flow.

System and method for next object prediction for ics flow using artificial intelligence/machine learning

A method of generating and using a metadata files for integration flows may include analyzing definition files of integration flows to generate metadata files that include summary information for each of the integration flows. The method also includes extracting source-target relationships from the summary information for each of the integration flows and training a model using the plurality of source-target relationships. The method also includes receiving a source element from a current integration flow; providing the source element and characteristics of the current integration flow to the model; and receiving, from the model, recommended target elements to be connected to the source element in the current integration flow.

Machine learning from the integration flow metadata

System and method for auto-completion of ICS flow using artificial intelligence/machine learning

Implementations include a method and system configured to First information is collected during the processing of a flow process integration in the known environment while applying a stress test to a first service and recording the processing as a data recording. The data recording is analyzed to determine a nodal structure of the flow process integration instance. An updated version of the data recording with a second service that is modified is received. The updated version of the data recording is processed in the known environment. Second information pertaining to errors and anomalies associated with the updated version is collected while traversing the nodal structure during the processing of the updated version of the data recording in the known environment. The first information with the second information are compared to determine whether the errors and the anomalies are within an error threshold.

Determine errors and anomalies in a flow process integration instance that integrates services

Techniques are disclosed for providing notifications to a user. A user can configure the types of notifications they would like to receive. The notifications are generated according to messages that are generated in response to changes to activities in an integration flow. Types of notifications can include error notifications, system notifications and status notifications. The notification can be provided to the user via an electronic communication.

Cloud service notifications

Techniques are disclosed for collecting and visualizing historical data. Messages can be generated in response to user requests to make changes to activities in an integration flow. Data associated with the message can be collected in order to generate historical data regarding the message. Depending on the integration flow, a predetermined time point for generating the historical data can be obtained, and the historical data can be generated when the predetermined time point occurs.

Historical data representation in cloud service

Described herein are systems and methods for providing stage file objects in a visual design tool for integration development. The integration can be developed on a cloud based integration service that can receive, via a visual development tool interface, selection of a stage file object for insertion into an integration flow. The cloud based integration service can also receive a selection of a type value for the stage file object. The scope for the stage file object can be determined, and the stage file object can be displayed in the integration flow based on the type value and the scope.

Stage file objects in a visual design tool for integration development

Implementations include a method and system configured to allow users to track, record, and store process instances and use the recordings in the same or different environments in order to test, debug, and repair detected errors and anomalies in process flows. The method and system also provides a conceptual way where users can create tests by recording and playback one or more flow instances along with processing artifacts in order to test and debug their flow in a different environment to ensure flow executions work across updates, releases, and across different environments.

Method and system for recording and debugging process flows

Techniques are provided for limiting access to a feature in an application. Certain application features, such as access controlled features, are not generally accessible to all users of an integration cloud service system. When a user makes a request to access an access controlled feature, the system can determine whether user information satisfies the requirements to access a requested access controlled feature. If the user satisfies the requirements for the requested access controlled feature, an access key can be dynamically generated based on the user information.

Limiting access to application features in cloud applications

Techniques are disclosed for identifying, applying and validating changes to activities in an integration flow. A user may make a change to an activity in an integration flow. Other activities in the integration flow may be affected because of the change. Any activities that are affected by the change are identified and changes are made to the affected activities so that the integration flow can operate correctly. After the changes are made, the activities are validated to ensure that the changes made are consistent with the integration flow.

Cloud service integration flow

In accordance with an embodiment, described herein is a system and method for decoupling a source application and a target application using a messaging service associated with a cloud-based integration service. A first integration flow can be provided to enable the source application or producer to publish messages to the messaging service. A second integration flow can be provided to enable the target application or consumer to subscribe to the messaging service to receive messages. The source application and the target application can be agnostic of each other's implementation details, and those of the messaging service, which effectively decouples the source and target applications. The system enables objects between the source and target applications to be sychronized, multiple applications to subscribe to the integration cloud service and register for updates, and one or more applications to be added or removed as subscribers without affecting other subscribers or producers.

System and method for decoupling a source application from a target application in an integration cloud service

In accordance with an embodiment, described herein is a system and method for exporting and importing integration flows in a cloud-based integration service. The cloud-based integration service includes a web interface application for creating an integration flow, and a runtime for executing the integration flow. The web interface application can provide an import interface and an import logic component, and an export interface and an export logic component. The export logic component can be configured to export an integration flow and its dependent resources, regardless of their lock states, and with secured information removed from the dependent resources. The import logic component can be configured to import an integration flow and its dependent resources; and perform a plurality of checks and validations for each dependent resource being imported, to determine whether to create the dependent resource in the system, or keep an existing dependent resource in the system.

System and method for importing and extorting an integration flow in a cloud-based integration platform

In accordance with an embodiment, described herein is a system and method for graphically displaying a completeness indicator for a current integration flow being defined in a cloud-based integration service. The cloud-based integration service includes a web user interface for designing the current integration flow and a runtime for executing the integration flow. A plurality of integration flow definitions can be provided, each defining a plurality of integration components for a particular type of integration flow. The system can compare one or more integration components in the current integration flow, against a plurality of integration components in a definition for a particular type of integration flow, taking into account the relative weighting of each integration component. A value reflecting the level of completeness of the current integration flow can be generated based on the comparison, and graphically displayed as a completeness indicator in the web interface application.

System and method for providing completeness indicators for an integration flow in a cloud-based integration platform

Growing community of inventors

Highlands Ranch, CO, United States of America

Rajan Mahendrakumar Modi