公开(公告)号：US20230085848A1

公开(公告)日：2023-03-23

申请号：US17587512

申请日：2022-01-28

Applicant: salesforce.com, inc.

Inventor： Diego SAINT ESTEBEN ,  Ignacio MANZANO ,  Daniel FUJII ,  Ignacio RAIK ,  Mariano MIRABELLI

IPC: H04L9/40 ,  G06F9/54

Abstract: Disclosed herein are system, method, and computer program product embodiments for implementing automatic taxonomy tags in an API microgateway. The API microgateway may receive a plurality of API requests for an API managed by a customer in a period of time and route the plurality of API request to an instance of the API according to a policy of the API. The API microgateway may aggregate metrics information related to the plurality of API requests. The aggregated metrics information may include request features, response features, policy features, and performance features. In response to a cluster of the metrics information corresponding to a tag in a tag prediction system, the aggregated metrics information may be labeled with the tag. The tag and the aggregated metrics information may be added to an access log and sent to the customer.

公开(公告)号：US20230086750A1

公开(公告)日：2023-03-23

申请号：US17479833

申请日：2021-09-20

Applicant: salesforce.com, inc.

Inventor： Gustavo BATTISTONI ,  Luis CONTRERAS ,  Ezequiel BLOCK ,  Daniel FUJII ,  Rodrigo PAZOS ,  Tomás FOX

IPC: G06F16/21 ,  G06F16/25 ,  G06F16/215 ,  G06F11/34

Abstract: A computer-based system may be configured to collect metadata and/or the like indicative of all the metrics exposed from a data pipeline (e.g., an ETL pipeline, etc.) and transform the metrics into a single group of metrics user-facing, user-specific, user-configured, and/or the like metrics that allow the maturity and quality of data and/or data records to be analyzed and/or displayed. Collected metrics can be agnostic of a source data flow component of a data pipeline and/or resource technology (e.g., API, etc.). Collected metrics may indicate a measure of data freshness, data duplication, new data records, updated date data records, data errors, and/or the like.