Salesforce Com, Inc.

Salesforce, Inc.

Diego Gabriel Larralde

Ignacio Agustin Manzano

Agustin Lopez Gabeiras

Gaston Alberto Lodieu

Nicolas Hernan Battiato

Leandro Luck

Guido Agustin Martinez

Jiang Wu

Andrew Craig Bragdon

Alvaro Gaita

Maximiliano Akike

Christian Vallejos

Leandro Damián Lück

Robert M O'Dell

Eduardo Cominguez

Peter Gorski

Maria Florencia Vimberg

Álvaro David Gaita

Robert O'Dell

Disclosed herein are system, method, and computer program product embodiments for automatic non-code test suite generation of an application programming language (API) specification. An embodiment operates by receiving a specification of an API, wherein the API comprises a plurality of endpoints. The embodiment generates, using a parser, an abstraction model corresponding to the specification of the API, wherein the abstraction model comprises a plurality of entities corresponding to the plurality of endpoints. The embodiment identifies, based on the abstraction model, an operation that is applicable to an entity of the plurality of entities. The embodiment then generates a functional test based on a use case corresponding to the entity and the operation.

Automatic non-code test suite generation from API specification

Disclosed herein are system, method, and computer program product embodiments for self-paced migration of an application programming language (API) gateway. An embodiment operates by receiving a functional test suite corresponding to an application programming interface (API). The embodiment generates a knowledge graph of information by combining a test result graph of information based on a result of execution of one or more tests in the functional test suite with a metadata linked graph of information based on metadata corresponding to the one or more APIs. The embodiment then generates an alert message corresponding to the function test suite based on the knowledge graph of information.

Impact analysis based on API functional testing

Embodiments of apparatus, systems, and methods are described for creating and managing an abstract, API-based infrastructure base model. The API-based model can abstract infrastructure assets, such as infrastructure components or connections between components, into a metadata model using standardized syntax and interfaces, for defining and building an infrastructure. Using a modeling document, connections and components of an infrastructure can be abstracted into an API-based model having semantics that covers them all. Connections and infrastructure components can be made available for selection, arrangement, and grouping to build complex infrastructure models without requiring complex API coding by the user. Other infrastructure models having different API definitions can be by abstracted to standardize the assets for building new APIs. The APIs can be further modified and exported to another or the same implementation project.

Infrastructure base model API

Disclosed herein are system, method, and computer-readable medium embodiments for providing the ability to automate the process of generating load tests used for benchmarking APIs. Rather than having to manually generate load tests for a web service API, a test developer can interact with a test service through a web browser and provide the service an API specification and testing parameters. The test service can analyze the API specification, automatically identified endpoints of the API, and generate load tests according to the expected input/output structures of the endpoints. The automatic load test generation can proceed by referring to a library of test instructions and extracting the portions of the test instructions that work for the identified endpoints.

Automated generation of load tests for API testing

Disclosed herein are system, method, and computer-readable medium embodiments for providing the ability to automate identification of endpoints of an API for potential health checks based on machine learning and/or similarity search algorithms. The algorithms analyze an API specification according to the algorithm's training and/or search among reference APIs. Rather than having to manually generate health check tests for the web service, a test developer can interact with a test service through a web browser and provide the service an API specification. The test service then can automatically rank identified endpoints according to a ranking system as well as automate health checks by automatically preparing the health check code according to each identified endpoint.

Automated discovery of API endpoints for health check and automated health check generation

Disclosed herein are system, method, and computer program product embodiments for providing anomaly feedback monitoring and detection. An embodiment operates by determining a first set of data corresponding to an anomaly indicating an undesirable data state for a first application. A subset of data from a second set of data corresponding to the undesirable data state is identified, wherein the second set of data is associated with communications between the first application and a second application. A notification identifying the anomaly is provided. Feedback associated with the anomaly is received. Data corresponding to the anomaly is updated based on the feedback.

Anomaly feedback monitoring and detection system

Disclosed herein are system, method, and computer program product embodiments for providing clustering and monitoring functionality. An embodiment operates by determining that an application programming interface (API) call has been made from a first application to a second application. Metric data regarding a performance of one or more computing devices responsive to the determined API call is received. The received metric data associated with the determined API call is clustered into one of a plurality of predetermined clusters associated with the performance of the one or more computing devices responsive to one or more previous API calls. A notification indicating a system state of the one or more computing devices is determined based on the clustering, and provided.

Clustering and monitoring system

Disclosed herein are system, method, and computer program product embodiments for providing a distributed alert system using actor models. The approach includes initializing an alert actor configured to run an alert action. A datapoint related to the alert action is received, and can then be processed at the alert actor against a current status of an alert (such as a running average of prior datapoints) in order to determine a new status of the alert. This allows for a notification to be provided, such as to a system administrator, based on a change in status if needed.

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Buenos Aires, Argentina

Diego Gabriel Larralde