CLOUD SERVICES RELEASE ORCHESTRATION

    公开(公告)号:US20230087544A1

    公开(公告)日:2023-03-23

    申请号:US18049265

    申请日:2022-10-24

    Abstract: According to some implementations, while a proxy routes production traffic to a first application (app) version that runs in a plurality of container orchestration system (cos) pods having first app version containers, configuration information is received including an identification of a second app version container image for a second app version. The second app version is an updated version of the first app version. Cos pods having second app version containers are brought up based on the second app version container image identified in the configuration information. Test and/or warmup traffic is caused to be routed to the second app version containers. Responsive to an indication regarding the routing of the test and/or warmup traffic to the second app version, causing a transition to sending production traffic to the second app version containers instead of to the first app version.

    SYSTEM AND METHOD FOR AUTOMATIC DISCOVERY OF CANDIDATE APPLICATION PROGRAMMING INTERFACES AND DEPENDENCIES TO BE PUBLISHED

    公开(公告)号:US20230086564A1

    公开(公告)日:2023-03-23

    申请号:US17520074

    申请日:2021-11-05

    Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically discovering an API for publishing within a data repository. A discovery tool is used either on a server computer or a customer computer to examine the files stored in the data repository. A search of the repository is conducted to identify root API files that form the basis of an API. A first examination is conducted in which the files are examined for common indicia associated with known API standards. Then a second examination is done of the root API candidates found in the first examination to identify which of the root API candidates is actually a root API. Once the root API has been located, it is executed in a computer environment, and its dependents are detected. Once all the necessary API files have been located, they are packaged and automatically published.

    AUTOMATIC MICROGATEWAY TAXONOMY TAGS

    公开(公告)号:US20230085848A1

    公开(公告)日:2023-03-23

    申请号:US17587512

    申请日:2022-01-28

    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.

    Test suite for different kinds of biases in data

    公开(公告)号:US11610079B2

    公开(公告)日:2023-03-21

    申请号:US16777912

    申请日:2020-01-31

    Inventor: Michael Yang

    Abstract: There is provided computer implemented method for detecting and reducing or removing bias for generating a machine learning model, comprising: prior to generating the machine learning model: receiving a training dataset, comprising target inputs, each comprising parameters and labelled with a corresponding target output, wherein at least one of the parameters of at least of the target inputs comprises a sensitive parameter indicative of the corresponding target input assigned to a sensitive group that is potentially biased against other target inputs that are excluded from the sensitive group, analyzing the training dataset to identify target inputs affected by label bias when a statistically significant difference is detected between target inputs assigned to the sensitive group and target inputs excluded from the sensitive group, correcting labels of the target inputs affected by label bias, and generating the machine learning model using the corrected labels.

    Systems and methods of determining target database for replication of tenant data

    公开(公告)号:US11609928B2

    公开(公告)日:2023-03-21

    申请号:US16548937

    申请日:2019-08-23

    Inventor: Swaroop Jayanthi

    Abstract: Systems and methods are provided for retrieving a source database replication configuration profile that is used to determine one or more databases of a plurality of target databases to store selected tenant data of a source database to be replicated, retrieving from each the plurality of target databases a target database replication configuration profile and transforming the profiles to persist in a management platform database, comparing the retrieved source database replication configuration profile and the target database replication configuration profiles to determine which target databases are usable to replicate the selected tenant data to, classifying the target database replication configuration profiles based on results of the comparison, and generating a list of one or more target databases of the plurality of target databases for the selected tenant data of the source database to be replicated to based on the classification of the target database replication configuration profiles.

    TECHNIQUES FOR DATA RETENTION
    80.
    发明申请

    公开(公告)号:US20230084317A1

    公开(公告)日:2023-03-16

    申请号:US18049117

    申请日:2022-10-24

    Abstract: Systems and techniques for managing data in a relational database environment and a non-relational database environment. Data in the relational database environment that is static and to be maintained beyond a preselected threshold length of time is identified. The data is copied from the relational database and stored in the data the non-relational database. Access to the data is provided from the non-relational database via a user interface that accesses both the relational database and the non-relational database.

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