Paypal, Inc.

Prabin Patodia

Sumit Kumar

Rajendra Bhat

Shikha Gupta

Trupti Agrawalla

Shivam Jari

Tamilselvan Palanisamy

Various techniques are disclosed for providing gateway services between a client system and downstream service systems for a service system. The disclosed gateway service system is capable of providing a final decision response to a service request from the client system based on responses received from the downstream service systems. The gateway service system internally determines the final decision response through implementation of a decision determination processor in combination with a configuration file and a response mapping table. The configuration file provides information that allows the decision determination processor to determine the final decision response based on decision mapping in the response mapping table. In some instances, the decision determination processor may access a dynamic decision mapping model when the response mapping table does not provide a final decision response determination.

Gateway service decision process consolidation

A service provider may create data specification-driven AI-based executable strategies, which may be used to ensure high uptime and availability of decision services. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules and artificial intelligence models for decision-making of data including data in production computing environment. A decision service may normally be used for data processing and decision-making. However, at certain times, the decision service may fail or the services and/or a gateway for such services may be inaccessible. To provide higher availability and better SLA times, a client-side executable strategy for decision service execution may be determined using the pathways for strategy execution and available data from called resources. This strategy may be loaded in parallel to calling the decision service, and when failure occurs, may be used as a fallback to request processing.

Dynamic creation of data specification-driven AI-based executable strategies for high availability of evaluation services

There are provided systems and methods for configuration-driven efficient transformation of formats and object structures for data specifications in computing services. A service provider, such as an electronic transaction processor for digital transactions, may utilize different computing services that implement rules and artificial intelligence models for decision-making of data including data in production computing environment. Different services may process data in different data formats and structures. However, transformation of data between different services, such as a gateway service that may receive data processing requests and/or data objects and downstream services that may process such requests and objects, may take significant time and resources. A configuration-driven data transformation platform may intelligently create code for and select from transformers that may be used for data transformations. When selected, the transformers may transform data between services faster and more efficiently by being specifically selected based on past performances and code configurations.

Configuration-driven efficient transformation of formats and object structures for data specifications in computing services

There are provided systems and methods for determining processing weights of rule variables for rule processing optimization. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables for data objects may be utilized, where each variable may perform a different operation and/or utilize a different operation for fetching and retrieving data used during rule processing. Each variable may therefore have a different data processing weights based on processing requirements of the data. Thus, optimization of rule authoring may be performed by mapping variables to other similar variables and showing a processing weight of each variable.

Determining processing weights of rule variables for rule processing optimization

Techniques are disclosed relating to dynamically determining a data load process usable with a decision service for responding to requests to the decision service. The data load process may be selected from either a full data load process that loads data needed for all the rules in the decision service, or a selective data load process that loads data needed for a subset of the rules in the decision service according to embodiments. The decision service may determine the data load process to implement based on an evaluation of a decision blueprint in response to receiving the request, where the decision blueprint includes a set of rules interconnected by flow paths. Evaluation of properties of the rules and flow paths based on input data in the request may be used to determine the data load process to implement. Overall, this results in faster execution times in various circumstances.

Dynamic determination of data load process for a rule engine in a decision service

There are provided systems and methods for an automatically managed common asset validation framework for platform-based microservices. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules and/or artificial intelligence models for decision-making from input data including data in a production computing environment. A decision service may normally be used for data processing and decision-making through an execution flow configuration and/or graph identifying a flow of task executions and other computing operations. In this regard, the decision services may share common data assets, such as data tables, shared code for execution of operations and the like. The service provider may utilize an intelligent service to automatically manage and validate these assets between services so that execution errors do not occur when there are changes to these common assets.

Automatically managed common asset validation framework for platform-based microservices

There are provided systems and methods for increasing availability of a micro-computation decision service by utilizing execution flow configurations. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules and/or artificial intelligence models for decision-making of data including data in production computing environment. A decision service may normally be used for data processing and decision-making through an execution flow configuration and/or graph identifying a flow of task executions and other computing operations.

Increasing availability of a micro-computation decision service by utilizing execution flow configurations

There are provided systems and methods for automated tuning of data processing rules based on region-specific requirements. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules for decision-making of data including real-time data in production computing environments. Rules may correspond to coded statements that perform an automated decision-making service for the computing services and platforms of the service provider. When writing rules, different variables and conditions may be utilized, where each variable and condition may cause a rule output or action. However, conditions and other components of rules may be different for different regions and thus, regional policies may have requirements for rules. The service provider may determine the regional policies when a rule is to be deployed in a region. Thereafter, the service provider may adjust rules specifically for each region.

Automated tuning of data processing rules based on region-specific requirements

Systems and techniques that facilitate centralized request validation are provided. In various embodiments, a central validation server can comprise an input component. In various cases, the input component can receive a validation instruction from a gateway service. In various aspects, the validation instruction can be based on a request received by the gateway service from a client. In various instances, the request can be handleable by an operational flow path through a plurality of domain services that are downstream of the gateway service. In various embodiments, the central validation server can comprise a central validation specification component. In various aspects, the central validation specification component can store a plurality of request validation specifications respectively corresponding to the plurality of domain services. In various embodiments, the central validation server can comprise an output component. In various instances, the output component can transmit, in response to the validation instruction, the plurality of request validation specifications to the gateway service. In various aspects, the gateway service can validate the request based on the plurality of request validation specifications. In various embodiments, the gateway service can determine that the request fails to satisfy at least one of the plurality of request validation specifications. In various cases, the gateway service can return an error to the client without invoking any of the plurality of domain services.

Centralized request validation

There are provided systems and methods for dynamic node insertion of secondary services for high-availability during main decision failure at runtime. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules and/or artificial intelligence models for decision-making of data including data in production computing environment. A main decision service may normally be used for data processing and decision-making. However, at certain times, the main decision service may fail, such as if a data processing node fails to process data or times out while processing a data processing request, such as during electronic transaction processing. During this runtime, a dynamic injection processor may dynamically inject a node that performs a call to a secondary service to process the data on behalf of the node and/or main decision service so that a response is provided to the data processing request.

Dynamic node insertion of secondary services for high-availability during main decision failure at runtime

The present disclosure pertains to an improved computing architecture allowing for better utilization of CPU, memory, network bandwidth, and other computing resources, particularly within the context of a decision service system that handles client requests. These methods and systems may be directed to the evaluation and use of a partial response from a decision service system when the generation of a full response by the decision service system is predicted to take longer than what is expected.

Computer software architecture for execution efficiency

Systems and methods for synchronizing screen highlights and voice-over are disclosed. A system obtains a text container queued to be audibly read by a screen reader where the text container includes plain text and hyperlinks. The system determines each accessibility element in the text container, where each of the accessibility elements has one or more old accessibility frames associated with a screen highlight of a plain text or a hyperlink of the accessibility element, and where the screen highlight indicates what is being audibly read by the screen reader. For each of the accessibility elements, the system: determines one or more frames that captures the plain text or the hyperlink of the accessibility element to an exclusion of a plain text or a hyperlink corresponding to another accessibility element; converts the frames into a new accessibility frame; and replaces the old accessibility frame with the new accessibility frame.

Screen focus area and voice-over synchronization for accessibility

There are provided systems and methods for detecting leakage of personal information in computing code configurations. A service provider, such as an electronic transaction processor for digital transactions, may utilize one or more computing systems and architectures to provide services to users. These may utilize applications, decision services, and microservices that invoke different application programming interfaces (APIs). When computing code is provided or changed, use of certain APIs may risk data leakage or misappropriation. Thus, the service provider may utilize an intelligent data processor to determine if these APIs are used in the computing code, and if so, back-trace through the computing code to determine the data objects used in API calls and requests. Thereafter, the service provider may determine whether sensitivity levels of the personal information are impacted by the APIs use of the personal information and may mask data that may be impacted.

Detecting leakage of personal information in computing code configurations

Systems and techniques that facilitate on-the-fly reorganization of directed acyclic graph nodes of a computing service for high integration flexibility are provided. In various embodiments, an input component can receive from a computing client a requested response time to be satisfied by a computing service. In various embodiments, a node property component can access an execution matrix. In various cases, the execution matrix can list execution properties of a plurality of nodes corresponding to the computing service. In various instances, the plurality of nodes can respectively perform a plurality of sub-operations associated with the computing service. In various aspects, the plurality of nodes can include one or more multi-level-of-execution subsets of nodes. In various cases, each multi-level-of-execution subset can contain at least two nodes that facilitate a same sub-operation at different levels of resource utilization. In various embodiments, a node identification component can identify a set of nodes from the plurality of nodes listed in the execution matrix, such that the identified set can include one node from each of the multi-level-of-execution subsets, and such that the execution properties of the identified set can collectively satisfy the requested response time. In various aspects, the node identification component can build for the computing client a workflow corresponding to the computing service based on the identified set.

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Bengaluru, India

Prabin Patodia