Data-driven organization adjustment

    公开(公告)号:US12001980B2

    公开(公告)日:2024-06-04

    申请号:US17164036

    申请日:2021-02-01

    摘要: Techniques are provided for data-driven organization adjustment. In an example, a service mesh of microservices of a platform can be determined. An organizational chart of workers in an organization that maintain the microservices can be determined. Which workers manage which microservices can be determined from a repository in which code for the microservices is maintained. Then, the organizational chart can be analyzed to determine whether workers are organized in a way that meets policies based on which microservices they manage. For example, a policy can be that all workers who manage a given microservice should report to the same manager in the organization.

    Data-Driven Organization Adjustment

    公开(公告)号:US20220245544A1

    公开(公告)日:2022-08-04

    申请号:US17164036

    申请日:2021-02-01

    摘要: Techniques are provided for data-driven organization adjustment. In an example, a service mesh of microservices of a platform can be determined. An organizational chart of workers in an organization that maintain the microservices can be determined. Which workers manage which microservices can be determined from a repository in which code for the microservices is maintained. Then, the organizational chart can be analyzed to determine whether workers are organized in a way that meets policies based on which microservices they manage. For example, a policy can be that all workers who manage a given microservice should report to the same manager in the organization.

    Chaos Engineering in Microservices Using a Service Mesh

    公开(公告)号:US20220141304A1

    公开(公告)日:2022-05-05

    申请号:US17086540

    申请日:2020-11-02

    摘要: Techniques are provided for chaos engineering in microservices using a service mesh. In an example, a plurality of microservices can operate together as part of a software as a service product. A graph of the service mesh of the plurality of microservices can be determined. From that graph, weight can be assigned to the respective nodes. Those weights can be used to determine a probability of where chaos is introduced in the corresponding microservice architecture as part of chaos testing.