Availability zone recovery using virtual private clouds

    公开(公告)号:US11966306B1

    公开(公告)日:2024-04-23

    申请号:US17710163

    申请日:2022-03-31

    CPC classification number: G06F11/203 G06F9/5077 G06F2209/509

    Abstract: Availability zone and region recovery are described. For an availability zone (AZ), a recovery availability zone (rAZ) may be identified based on available computing capacity of the recovery availability zone and geographic proximity of the availability zone relative to the recovery availability zone. In an instance in which the availability zone is impacted in which at least one of hardware and software of the availability zone is not fully operational, a virtual private cloud (VPC) is generated that establishes a peered connection between the availability zone and the recovery availability zone. A service is executed in the recovery availability zone, permitting any other services executing in the availability zone to invoke the service and become partially or fully operational.

    Distributed system infrastructure testing

    公开(公告)号:US10122602B1

    公开(公告)日:2018-11-06

    申请号:US14868100

    申请日:2015-09-28

    Abstract: Techniques are described for performing infrastructure testing of a distributed system. Such testing may be performed by an infrastructure testing service that includes, for example, a manager component and multiple agent components each executing on one of multiple computing devices that are implementing the distributed system. The manager utilizes failure information to schedule failures to occur on target host devices. The manager determines if the distributed system is in a healthy state, and if so, provides failure information to the agent on a target host device. The agent then executes one or more commands on the target host device to cause the failure to occur, and monitors the distributed system and the target host device as they recover from the failure. The infrastructure testing service utilizes this monitored information to initiate other actions based on the recovery.

    Homogeneous pre-built isolated computing stacks for data center builds

    公开(公告)号:US11824735B1

    公开(公告)日:2023-11-21

    申请号:US17708951

    申请日:2022-03-30

    CPC classification number: H04L41/5041 H04L41/0806

    Abstract: For a network service to be deployed in one of a plurality of regional computing stacks, the network service may be partitioned into a region-specific portion and a region-agnostic portion. A first data transfer of the region-agnostic portion of the network service and a second data transfer of the region-specific portion may be performed separate from one another. Configuration settings of the network service as previously deployed in one or more of the regional computing devices may be accessed, and the region-specific portion may be configured using region-specific configuration settings as modified or confirmed by an administrator. The region-specific portion and the region-agnostic portion are deployed in one of the regional computing stacks as part of a networked computing environment.

    Vectored data store for seeding and building data stores in new regions

    公开(公告)号:US11199987B1

    公开(公告)日:2021-12-14

    申请号:US16806214

    申请日:2020-03-02

    Abstract: Launching data stores when new computing infrastructure is deployed is described. A proxy data storage service may be provided that receives instances of an application programming interface (API) call to store data and determines one of a first data store or a second data store to store the data. For instance, in response to receipt of a first instance of the API call, the proxy data storage service may store data in a first data store. However, after a provisioning of the second data store, the proxy data storage service may store data in the second data store in response to receipt of a second instance of the API call. In an instance in which the data stored in the second data store also exists in the first data store, the data is deleted from the first data store until an eventual migration of data is achieved.

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