PRIVATE NETWORK LAYERING IN PROVIDER NETWORK ENVIRONMENTS

    公开(公告)号:US20190182256A1

    公开(公告)日:2019-06-13

    申请号:US16277379

    申请日:2019-02-15

    Abstract: Methods and apparatus that allow clients to establish sub private networks as resources within private networks on a provider network. A sub private network may be owned and controlled by a different entity than the owner of its parent private network.A parent private network controls access to its sub private networks, and each sub private network also controls access to its resources. This enables a layered topology in which a parent private network may establish access control rules for its sub private networks; the sub private networks may supplement the access control according to their specific needs. Sub private networks may share resources of their parent private network, and a sub private network may allow or restrict access to its resources by its parent private network, by its sibling private networks, and/or by its own sub private network(s).

    Using edge-optimized compute instances to execute user workloads at provider substrate extensions

    公开(公告)号:US11757792B2

    公开(公告)日:2023-09-12

    申请号:US17953073

    申请日:2022-09-26

    Abstract: Techniques are described for enabling users of a service provider network to create and configure “application profiles” that include parameters related to execution of user workloads at provider substrate extensions. Once an application profile is created, users can request the deployment of user workloads to provider substrate extensions by requesting instance launches based on a defined application profile. The service provider network can then automate the launch and placement of the user's workload at one or more provider substrate extensions using edge-optimized compute instances (e.g., compute instances tailored for execution within provider substrate extension environments). In some embodiments, once such edge-optimized instances are deployed, the service provider network can manage the auto-resizing of the instances in terms of various types of computing resources devoted to the instances, manage the lifecycle of instances to ensure maximum capacity availability at provider substrate extension locations, and perform other instance management processes.

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