SELECTING A SAMPLE SET OF CLOUD COMPUTING RESOURCES FOR A/B TESTING OF A SOFTWARE DEPLOYMENT

    公开(公告)号:US20230089231A1

    公开(公告)日:2023-03-23

    申请号:US18059163

    申请日:2022-11-28

    Abstract: A sample set of cloud computing resources is dynamically selected for testing a software deployment. Telemetry data associated with the resources and customer support data associated with customers that utilize the resources are obtained. A subset of the customers is selected based on the customer support data, and a candidate subset of the resources is selected based on the selected subset of customers and the telemetry data. Criteria for the selection is based on usage patterns and is configurable. Resources of customers with special support agreements, and customers previously selected, may be excluded from the candidate subset. The sample set of cloud computing resources may be randomly selected from the candidate subset. Software is deployed to the sample set as a B resource group and tested for issues with an A resource group to determine whether to proceed to full deployment, roll back the deployment, and/or retest the software.

    SELECTING A SAMPLE SET OF CLOUD COMPUTING RESOURCES FOR A/B TESTING OF A SOFTWARE DEPLOYMENT

    公开(公告)号:US20220283793A1

    公开(公告)日:2022-09-08

    申请号:US17193399

    申请日:2021-03-05

    Abstract: A sample set of cloud computing resources is dynamically selected for testing a software deployment. Telemetry data associated with the resources and customer support data associated with customers that utilize the resources are obtained. A subset of the customers is selected based on the customer support data, and a candidate subset of the resources is selected based on the selected subset of customers and the telemetry data. Criteria for the selection is based on usage patterns and is configurable. Resources of customers with special support agreements, and customers previously selected, may be excluded from the candidate subset. The sample set of cloud computing resources may be randomly selected from the candidate subset. Software is deployed to the sample set as a B resource group and tested for issues with an A resource group to determine whether to proceed to full deployment, roll back the deployment, and/or retest the software.

    SELECTING A SAMPLE SET OF CLOUD COMPUTING RESOURCES FOR A/B TESTING OF A SOFTWARE DEPLOYMENT

    公开(公告)号:US20240370245A1

    公开(公告)日:2024-11-07

    申请号:US18770000

    申请日:2024-07-11

    Abstract: A sample set of cloud computing resources is dynamically selected for testing a software deployment. Telemetry data associated with the resources and customer support data associated with customers that utilize the resources are obtained. A subset of the customers is selected based on the customer support data, and a candidate subset of the resources is selected based on the selected subset of customers and the telemetry data. Criteria for the selection is based on usage patterns and is configurable. Resources of customers with special support agreements, and customers previously selected, may be excluded from the candidate subset. The sample set of cloud computing resources may be randomly selected from the candidate subset. Software is deployed to the sample set as a B resource group and tested for issues with an A resource group to determine whether to proceed to full deployment, roll back the deployment, and/or retest the software.

    AUTOMATIC CORRECTNESS VALIDATION OF DATABASE MANAGEMENT SYSTEMS

    公开(公告)号:US20240111657A1

    公开(公告)日:2024-04-04

    申请号:US18536483

    申请日:2023-12-12

    CPC classification number: G06F11/3612 G06F8/71 G06F16/2365

    Abstract: The automatic detection of inconsistencies in a database system is described. A first signature and a second signature are received. The first signature is a signature of a result of a first execution of the query against a database by a first version of database engine program code. The second signature is a signature of a result of a second execution of the query by a second version of the database engine program code. A determination is made of whether the first signature and the second signature match. In response to the first signature and the second signature failing to match, an inconsistency report regarding at least one of the first or second versions of the database engine program code is generated and remediation regarding at least one of the first or second versions of the database engine program code is performed.

    AUTOMATIC CORRECTNESS VALIDATION OF DATABASE MANAGEMENT SYSTEMS

    公开(公告)号:US20230350783A1

    公开(公告)日:2023-11-02

    申请号:US17730904

    申请日:2022-04-27

    CPC classification number: G06F11/3612 G06F16/2365 G06F8/71

    Abstract: The automatic detection of inconsistencies in a database system is described. A first signature and a second signature are received. The first signature is a signature of a result of a first execution of the query against a database by a first version of database engine program code. The second signature is a signature of a result of a second execution of the query by a second version of the database engine program code. A determination is made of whether the first signature and the second signature match. In response to the first signature and the second signature failing to match, an inconsistency report regarding at least one of the first or second versions of the database engine program code is generated and remediation regarding at least one of the first or second versions of the database engine program code is performed.

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