Class CfnStreamGroupProps.Jsii$Proxy

java.lang.Object
software.amazon.jsii.JsiiObject
software.amazon.awscdk.services.gameliftstreams.CfnStreamGroupProps.Jsii$Proxy
All Implemented Interfaces:
CfnStreamGroupProps, software.amazon.jsii.JsiiSerializable
Enclosing interface:
CfnStreamGroupProps

@Stability(Stable) @Internal public static final class CfnStreamGroupProps.Jsii$Proxy extends software.amazon.jsii.JsiiObject implements CfnStreamGroupProps
An implementation for CfnStreamGroupProps
  • Constructor Details

    • Jsii$Proxy

      protected Jsii$Proxy(software.amazon.jsii.JsiiObjectRef objRef)
      Constructor that initializes the object based on values retrieved from the JsiiObject.
      Parameters:
      objRef - Reference to the JSII managed object.
    • Jsii$Proxy

      protected Jsii$Proxy(CfnStreamGroupProps.Builder builder)
      Constructor that initializes the object based on literal property values passed by the CfnStreamGroupProps.Builder.
  • Method Details

    • getDescription

      public final String getDescription()
      Description copied from interface: CfnStreamGroupProps
      A descriptive label for the stream group.

      Specified by:
      getDescription in interface CfnStreamGroupProps
      See Also:
    • getLocationConfigurations

      public final Object getLocationConfigurations()
      Description copied from interface: CfnStreamGroupProps
      A set of one or more locations and the streaming capacity for each location.

      One of the locations MUST be your primary location, which is the AWS Region where you are specifying this resource.

      Returns union: either IResolvable or Listinvalid input: '<'either IResolvable or CfnStreamGroup.LocationConfigurationProperty>

      Specified by:
      getLocationConfigurations in interface CfnStreamGroupProps
      See Also:
    • getStreamClass

      public final String getStreamClass()
      Description copied from interface: CfnStreamGroupProps
      The target stream quality for sessions that are hosted in this stream group.

      Set a stream class that is appropriate to the type of content that you're streaming. Stream class determines the type of computing resources Amazon GameLift Streams uses and impacts the cost of streaming. The following options are available:

      A stream class can be one of the following:

      • gen6n_pro_win2022 (NVIDIA, pro) Supports applications with extremely high 3D scene complexity which require maximum resources. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 16 vCPUs, 64 GB RAM, 24 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen6n_pro (NVIDIA, pro) Supports applications with extremely high 3D scene complexity which require maximum resources. Uses dedicated NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 16 vCPUs, 64 GB RAM, 24 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen6n_ultra_win2022 (NVIDIA, ultra) Supports applications with high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen6n_ultra (NVIDIA, ultra) Supports applications with high 3D scene complexity. Uses dedicated NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen6n_high (NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
      • Tenancy: Supports up to 2 concurrent stream sessions
      • gen6n_medium (NVIDIA, medium) Supports applications with moderate 3D scene complexity. Uses NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 2 vCPUs, 8 GB RAM, 6 GB VRAM
      • Tenancy: Supports up to 4 concurrent stream sessions
      • gen6n_small (NVIDIA, small) Supports applications with lightweight 3D scene complexity and low CPU usage. Uses NVIDIA L4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 1 vCPUs, 4 GB RAM, 2 GB VRAM
      • Tenancy: Supports up to 12 concurrent stream sessions
      • gen5n_win2022 (NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA A10G Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen5n_high (NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
      • Tenancy: Supports up to 2 concurrent stream sessions
      • gen5n_ultra (NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen4n_win2022 (NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA T4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
      • Tenancy: Supports 1 concurrent stream session
      • gen4n_high (NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM
      • Tenancy: Supports up to 2 concurrent stream sessions
      • gen4n_ultra (NVIDIA, ultra) Supports applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor Core GPU.
      • Reference resolution: 1080p
      • Reference frame rate: 60 fps
      • Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
      • Tenancy: Supports 1 concurrent stream session

      Specified by:
      getStreamClass in interface CfnStreamGroupProps
      See Also:
    • getDefaultApplication

      public final Object getDefaultApplication()
      Description copied from interface: CfnStreamGroupProps
      Object that identifies the Amazon GameLift Streams application to stream with this stream group.

      Returns union: either IResolvable or CfnStreamGroup.DefaultApplicationProperty

      Specified by:
      getDefaultApplication in interface CfnStreamGroupProps
      See Also:
    • getTags

      public final Map<String,String> getTags()
      Description copied from interface: CfnStreamGroupProps
      A list of labels to assign to the new stream group resource.

      Tags are developer-defined key-value pairs. Tagging AWS resources is useful for resource management, access management and cost allocation. See Tagging AWS Resources in the AWS General Reference .

      Specified by:
      getTags in interface CfnStreamGroupProps
      See Also:
    • $jsii$toJson

      @Internal public com.fasterxml.jackson.databind.JsonNode $jsii$toJson()
      Specified by:
      $jsii$toJson in interface software.amazon.jsii.JsiiSerializable
    • equals

      public final boolean equals(Object o)
      Overrides:
      equals in class Object
    • hashCode

      public final int hashCode()
      Overrides:
      hashCode in class Object