Abstract: Techniques for managing compute resource usage by virtualized compute instances within a provider network are described. A computer system connected to a provider network hosts one or more compute instances. An agent associated with the computer system obtains per-compute instance resource usage information of computer system resources such as processors, memory, and network interfaces. The agent sends the usage information to a usage management service of the provider network. The usage management service generates usage limits based on the usage information from the agent and on usage targets and sends the usage limits to the computer system. The computer system limits the resource usage of the compute instance based on the usage limits.

Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.

Abstract: Methods, systems, and computer-readable media for capacity reservation for virtualized graphics processing are disclosed. A request is received to attach a virtual GPU to a virtual compute instance. The request comprises one or more constraints. Availability information is retrieved from a data store that indicates virtual GPUs available in a provider network and matching the one or more constraints. A virtual GPU is selected from among the available virtual GPUs in the availability information. The selected virtual GPU is reserved for attachment to the virtual compute instance. The virtual compute instance is implemented using CPU resources and memory resources of a physical compute instance, the virtual GPU is implemented using a physical GPU in the provider network, and the physical GPU is accessible to the physical compute instance over a network.

Abstract: A graphic session coordinator is established to enable remote virtualized graphics operations on behalf of a set of graphics request generators. A request generator submits a graphics session request to the session coordinator. A configuration operation is performed at one or more routing devices to enable graphics operation request packets from the request generator to be delivered to a first remote virtualized graphics device and to enable graphics operation response packets to be transmitted to a destination.

Abstract: A first remote virtualized graphics device is instantiated in response to a determination that processing of graphics operations is to be enabled in a first availability mode on behalf of a compute instance. A configuration operation is performed at a routing device to enable packets from the first remote virtualized graphics device to be transmitted to a graphics result destination. In response to an indication of unavailability, the routing device is configured to enable packets from a second remote virtualized graphics device to be directed to the graphics result destination.

Abstract: Techniques for private network mirroring are described. Users can select one or more existing private networks to be mirrored in the same or different network area. Any network configuration changes made in the selected private network (e.g., “master” private network) can be propagated automatically to the mirror private network. This enables users to utilize resources in another network area for disaster recovery, ensuring that the network configuration of the mirror private network is consistent with the master private network through real-time updates. Additionally, users managing infrastructure that includes multiple private networks can select one master private network and propagate configuration changes to other private networks, reducing management overhead incurred by these multi-private network installations.

Abstract: Methods, systems, and computer-readable media for dynamic and application-specific virtualized graphics processing are disclosed. Execution of an application is initiated on a virtual compute instance. The virtual compute instance is implemented using a server. One or more graphics processing unit (GPU) requirements associated with the execution of the application are determined. A physical GPU resource is selected from a pool of available physical GPU resources based at least in part on the one or more GPU requirements. A virtual GPU is attached to the virtual compute instance based at least in part on initiation of the execution of the application. The virtual GPU is implemented using the physical GPU resource selected from the pool and accessible to the server over a network.

Abstract: A determination is made that network access between a virtualized graphics device and a compute instance of a client is to be enabled. A source network address for graphics-related traffic of the compute instance is identified. From a range of source port numbers associated with the source network address, a particular source port number which is unused is found. Routing metadata is transmitted to one or more routing devices indicating that a key based at least in part on (a) the source network address and (b) the particular source port number is to be used to identify a route for network packets from the first application compute instance to a virtualized graphics device.

Abstract: A network visualization service may auto-generate graphical, dynamic, and interactive network diagrams of the infrastructure (resource instances, connections, etc.) of clients' virtual private networks as implemented on a provider network. A network diagram may include representations of various virtualized components of a client's virtual private network, as well as relationships among and connections between and among the various components. The diagram may also display logical and/or geographical groupings of the virtual resources in the client's virtual private network. The service may track changes to the virtual private network and update the diagram accordingly. The diagram may provide a user interface via which the client may select particular graphical objects on diagram to display additional information about a respective resource instance or connection and/or to change the client's virtual private network configuration via the network diagram.

Abstract: A graphic session coordinator is established to enable remote virtualized graphics operations on behalf of a set of graphics request generators. A request generator submits a graphics session request to the session coordinator. A configuration operation is performed at one or more routing devices to enable graphics operation request packets from the request generator to be delivered to a first remote virtualized graphics device and to enable graphics operation response packets to be transmitted to a destination.

Abstract: Methods, systems, and computer-readable media for interaction monitoring for virtualized graphics processing are disclosed. Execution of an application is initiated on a virtual compute instance that is implemented using CPU and memory resources of a server. Instruction calls are produced by the execution of the application and sent from the server to a graphics server over a network. The graphics server comprises a physical GPU, and a virtual GPU is implemented using the physical GPU and attached to the virtual compute instance. GPU output is generated at the graphics server based at least in part on execution of the instruction calls using the virtual GPU. A log of interactions between the application and the virtual GPU is stored. The interactions comprise the instruction calls sent to the graphics server and responses to the instruction calls sent to the virtual compute instance.

Abstract: Techniques for private network mirroring are described. Users can select one or more existing private networks to be mirrored in the same or different network area. Any network configuration changes made in the selected private network (e.g., “master” private network) can be propagated automatically to the mirror private network. This enables users to utilize resources in another network area for disaster recovery, ensuring that the network configuration of the mirror private network is consistent with the master private network through real-time updates. Additionally, users managing infrastructure that includes multiple private networks can select one master private network and propagate configuration changes to other private networks, reducing management overhead incurred by these multi-private network installations.

Abstract: Techniques for failover management using availability groups are described. According to some embodiments, customers can define one or more availability groups within their infrastructure. Each availability group may be associated with one or more rules which describe how the availability group should fail over. The availability group definition may define the resources included in the availability group, a target region to fail over to, and capacity reservations for the availability group in the target region. In some embodiments, the definition may also include a replication frequency for storage resources which defines how often data is backed up. Once a customer as created an availability group the customer is then able to either create resources in that availability group or associate already existing resources with the availability group. An availability group management service can ensure that data, capacity reservations and network infrastructure are defined and/or replicated to the target location.

Abstract: Methods, systems, and computer-readable media for capacity reservation for virtualized graphics processing are disclosed. A request is received to attach a virtual GPU to a virtual compute instance. The request comprises one or more constraints. Availability information is retrieved from a data store that indicates virtual GPUs available in a provider network and matching the one or more constraints. A virtual GPU is selected from among the available virtual GPUs in the availability information. The selected virtual GPU is reserved for attachment to the virtual compute instance. The virtual compute instance is implemented using CPU resources and memory resources of a physical compute instance, the virtual GPU is implemented using a physical GPU in the provider network, and the physical GPU is accessible to the physical compute instance over a network.

Abstract: Methods, systems, and computer-readable media for interaction monitoring for virtualized graphics processing are disclosed. Execution of an application is initiated on a virtual compute instance that is implemented using CPU and memory resources of a server. Instruction calls are produced by the execution of the application and sent from the server to a graphics server over a network. The graphics server comprises a physical GPU, and a virtual GPU is implemented using the physical GPU and attached to the virtual compute instance. GPU output is generated at the graphics server based at least in part on execution of the instruction calls using the virtual GPU. A log of interactions between the application and the virtual GPU is stored. The interactions comprise the instruction calls sent to the graphics server and responses to the instruction calls sent to the virtual compute instance.

Abstract: A network visualization service may auto-generate graphical, dynamic, and interactive network diagrams of the infrastructure (resource instances, connections, etc.) of clients' virtual private networks as implemented on a provider network. A network diagram may include representations of various virtualized components of a client's virtual private network, as well as relationships among and connections between and among the various components. The diagram may also display logical and/or geographical groupings of the virtual resources in the client's virtual private network. The service may track changes to the virtual private network and update the diagram accordingly. The diagram may provide a user interface via which the client may select particular graphical objects on diagram to display additional information about a respective resource instance or connection and/or to change the client's virtual private network configuration via the network diagram.