公开(公告)号：USD927527S1

公开(公告)日：2021-08-10

申请号：US29753945

申请日：2020-10-05

Applicant: salesforce.com, inc.

Designer： Andrew Craig Bragdon ,  Agustin Lopez Gabeiras ,  Ignacio Agustin Manzano

公开(公告)号：US10963370B2

公开(公告)日：2021-03-30

申请号：US16252226

申请日：2019-01-18

Applicant: salesforce.com, inc.

Inventor： Martin Battaglia ,  Ignacio Agustin Manzano

IPC: G06F11/00 ,  G06F11/36 ,  G06F9/54 ,  H04L29/08

Abstract: A system may include a mocking server and one or more tenants served by the mocking server. A tenant may test an application programming interface (API) using a mocking service. For example, the mocking server may run a mock implementation of an API based on an API specification, and the server may expose an endpoint of the mock implementation for API testing. In some cases, the API specification may use an additional service. The mocking server may need an implementation for this additional service in order to test the API. For improved efficiency and reliability of the mocking service, the mocking server may store pre-configured mock implementations for various service or complementary APIs, which can be publicly accessed and shared across multiple different tenants. The pre-configured mock implementations may enable a user to test an API without providing a mock implementation for each additional service indicated in the API specification.

公开(公告)号：US20200233791A1

公开(公告)日：2020-07-23

申请号：US16254193

申请日：2019-01-22

Applicant: salesforce.com, inc.

Inventor： Ignacio Agustin Manzano ,  Agustin Lopez Gabeiras ,  Leandro Damián Lück ,  Gaston Alberto Lodieu ,  Diego Gabriel Larralde ,  Jiang Wu ,  Andrew Craig Bragdon

IPC: G06F11/36

Abstract: 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.