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Adds support for tile encoding in HEVC and audio for video overlays.
Added new stream group operation parameters for scale-on-demand capacity with automatic prewarming. Added new Gen6 stream classes based on the EC2 G6 instance family. Added new StartStreamSession parameter for exposure of real-time performance stats to clients. Support for AS2805 standard. Modifications to import-key and export-key to support AS2805 variants. Support for AS2805 standard. New API GenerateAs2805KekValidation and changes to translate pin, GenerateMac and VerifyMac to support AS2805 key variants. Adding the newly launched p6-b300.48xlarge ec2 instance support in Sagemaker(Hyperpod,Training and Sceptor) Support dual-stack network connectivity for connectors via NetworkType field. Add support for dbiResourceId in finding. Adds an additional OutputFormat This release adds support for SPEKE V2 content key encryption in MediaPackage v2 Origin Endpoints.
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‎VERSION‎

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1.11.712
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‎generated/src/aws-cpp-sdk-gameliftstreams/include/aws/gameliftstreams/GameLiftStreamsClient.h‎

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@@ -203,20 +203,21 @@ class AWS_GAMELIFTSTREAMS_API GameLiftStreamsClient : public Aws::Client::AWSJso
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* configuration of the compute resources that Amazon GameLift Streams will use
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* when streaming, such as the CPU, GPU, and memory. </p> <p> Stream capacity
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* represents the number of concurrent streams that can be active at a time. You
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* set stream capacity per location, per stream group. There are two types of
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* capacity, always-on and on-demand: </p> <ul> <li> <p> <b>Always-on</b>: The
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* streaming capacity that is allocated and ready to handle stream requests without
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* delay. You pay for this capacity whether it's in use or not. Best for quickest
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* time from streaming request to streaming session. Default is 1 (2 for high
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* stream classes) when creating a stream group or adding a location. </p> </li>
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* <li> <p> <b>On-demand</b>: The streaming capacity that Amazon GameLift Streams
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* can allocate in response to stream requests, and then de-allocate when the
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* session has terminated. This offers a cost control measure at the expense of a
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* greater startup time (typically under 5 minutes). Default is 0 when creating a
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* stream group or adding a location. </p> </li> </ul> <p>Values for capacity must
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* be whole number multiples of the tenancy value of the stream group's stream
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* class.</p> <p> To adjust the capacity of any <code>ACTIVE</code> stream group,
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* call <a
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* set stream capacity per location, per stream group. The following capacity
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* settings are available: </p> <ul> <li> <p> <b>Always-on capacity</b>: This
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* setting, if non-zero, indicates minimum streaming capacity which is allocated to
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* you and is never released back to the service. You pay for this base level of
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* capacity at all times, whether used or idle. </p> </li> <li> <p> <b>Maximum
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* capacity</b>: This indicates the maximum capacity that the service can allocate
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* for you. Newly created streams may take a few minutes to start. Capacity is
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* released back to the service when idle. You pay for capacity that is allocated
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* to you until it is released. </p> </li> <li> <p> <b>Target-idle capacity</b>:
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* This indicates idle capacity which the service pre-allocates and holds for you
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* in anticipation of future activity. This helps to insulate your users from
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* capacity-allocation delays. You pay for capacity which is held in this
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* intentional idle state. </p> </li> </ul> <p>Values for capacity must be whole
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* number multiples of the tenancy value of the stream group's stream class.</p>
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* <p> To adjust the capacity of any <code>ACTIVE</code> stream group, call <a
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* href="https://docs.aws.amazon.com/gameliftstreams/latest/apireference/API_UpdateStreamGroup.html">UpdateStreamGroup</a>.
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* </p> <p> If the <code>CreateStreamGroup</code> request is successful, Amazon
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* GameLift Streams assigns a unique ID to the stream group resource and sets the
@@ -982,22 +983,24 @@ class AWS_GAMELIFTSTREAMS_API GameLiftStreamsClient : public Aws::Client::AWSJso
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* capacity of a stream group per location. If you want to change the stream class,
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* create a new stream group. </p> <p> Stream capacity represents the number of
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* concurrent streams that can be active at a time. You set stream capacity per
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* location, per stream group. There are two types of capacity, always-on and
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* on-demand: </p> <ul> <li> <p> <b>Always-on</b>: The streaming capacity that is
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* allocated and ready to handle stream requests without delay. You pay for this
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* capacity whether it's in use or not. Best for quickest time from streaming
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* request to streaming session. Default is 1 (2 for high stream classes) when
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* creating a stream group or adding a location. </p> </li> <li> <p>
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* <b>On-demand</b>: The streaming capacity that Amazon GameLift Streams can
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* allocate in response to stream requests, and then de-allocate when the session
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* has terminated. This offers a cost control measure at the expense of a greater
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* startup time (typically under 5 minutes). Default is 0 when creating a stream
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* group or adding a location. </p> </li> </ul> <p>Values for capacity must be
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* whole number multiples of the tenancy value of the stream group's stream
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* class.</p> <p>To update a stream group, specify the stream group's Amazon
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* Resource Name (ARN) and provide the new values. If the request is successful,
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* Amazon GameLift Streams returns the complete updated metadata for the stream
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* group. Expired stream groups cannot be updated.</p><p><h3>See Also:</h3> <a
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* location, per stream group. The following capacity settings are available: </p>
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* <ul> <li> <p> <b>Always-on capacity</b>: This setting, if non-zero, indicates
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* minimum streaming capacity which is allocated to you and is never released back
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* to the service. You pay for this base level of capacity at all times, whether
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* used or idle. </p> </li> <li> <p> <b>Maximum capacity</b>: This indicates the
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* maximum capacity that the service can allocate for you. Newly created streams
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* may take a few minutes to start. Capacity is released back to the service when
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* idle. You pay for capacity that is allocated to you until it is released. </p>
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* </li> <li> <p> <b>Target-idle capacity</b>: This indicates idle capacity which
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* the service pre-allocates and holds for you in anticipation of future activity.
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* This helps to insulate your users from capacity-allocation delays. You pay for
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* capacity which is held in this intentional idle state. </p> </li> </ul>
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* <p>Values for capacity must be whole number multiples of the tenancy value of
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* the stream group's stream class.</p> <p>To update a stream group, specify the
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* stream group's Amazon Resource Name (ARN) and provide the new values. If the
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* request is successful, Amazon GameLift Streams returns the complete updated
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* metadata for the stream group. Expired stream groups cannot be
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* updated.</p><p><h3>See Also:</h3> <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/gameliftstreams-2018-05-10/UpdateStreamGroup">AWS
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* API Reference</a></p>
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*/

‎generated/src/aws-cpp-sdk-gameliftstreams/include/aws/gameliftstreams/model/CreateStreamGroupRequest.h‎

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@@ -58,43 +58,88 @@ class CreateStreamGroupRequest : public GameLiftStreamsRequest {
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* streaming. Stream class determines the type of computing resources Amazon
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* GameLift Streams uses and impacts the cost of streaming. The following options
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* are available: </p> <p>A stream class can be one of the following:</p> <ul> <li>
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* <p> <b> <code>gen5n_win2022</code> (NVIDIA, ultra)</b> Supports applications
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* with extremely high 3D scene complexity. Runs applications on Microsoft Windows
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* Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions
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* up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses
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* NVIDIA A10G Tensor GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li>
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* <li> <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload specifications:
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* 8 vCPUs, 32 GB RAM, 24 GB VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent
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* stream session</p> </li> </ul> </li> <li> <p> <b> <code>gen5n_high</code>
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* (NVIDIA, high)</b> Supports applications with moderate to high 3D scene
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* complexity. Uses NVIDIA A10G Tensor GPU.</p> <ul> <li> <p>Reference resolution:
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* 1080p</p> </li> <li> <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload
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* specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM</p> </li> <li> <p>Tenancy:
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* Supports up to 2 concurrent stream sessions</p> </li> </ul> </li> <li> <p> <b>
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* <code>gen5n_ultra</code> (NVIDIA, ultra)</b> Supports applications with
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* extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor GPU.</p>
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* <p> <b> <code>gen6n_pro_win2022</code> (NVIDIA, pro)</b> Supports applications
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* with extremely high 3D scene complexity which require maximum resources. Runs
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* applications on Microsoft Windows Server 2022 Base and supports DirectX 12.
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* Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit
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* applications, and anti-cheat technology. Uses NVIDIA L4 Tensor Core GPU.</p>
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* <ul> <li> <p>Reference resolution: 1080p</p> </li> <li> <p>Reference frame rate:
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* 60 fps</p> </li> <li> <p>Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB
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* 60 fps</p> </li> <li> <p>Workload specifications: 16 vCPUs, 64 GB RAM, 24 GB
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* VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent stream session</p> </li>
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* </ul> </li> <li> <p> <b> <code>gen4n_win2022</code> (NVIDIA, ultra)</b> Supports
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* applications with extremely high 3D scene complexity. Runs applications on
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* Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with
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* Unreal Engine versions up through 5.4, 32 and 64-bit applications, and
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* anti-cheat technology. Uses NVIDIA T4 Tensor GPU.</p> <ul> <li> <p>Reference
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* </ul> </li> <li> <p> <b> <code>gen6n_pro</code> (NVIDIA, pro)</b> Supports
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* applications with extremely high 3D scene complexity which require maximum
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* resources. Uses dedicated NVIDIA L4 Tensor Core GPU.</p> <ul> <li> <p>Reference
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* resolution: 1080p</p> </li> <li> <p>Reference frame rate: 60 fps</p> </li> <li>
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* <p>Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM</p> </li> <li>
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* <p>Workload specifications: 16 vCPUs, 64 GB RAM, 24 GB VRAM</p> </li> <li>
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* <p>Tenancy: Supports 1 concurrent stream session</p> </li> </ul> </li> <li> <p>
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* <b> <code>gen4n_high</code> (NVIDIA, high)</b> Supports applications with
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* moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor GPU.</p> <ul> <li>
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* <b> <code>gen6n_ultra_win2022</code> (NVIDIA, ultra)</b> Supports applications
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* with high 3D scene complexity. Runs applications on Microsoft Windows Server
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* 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up
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* through 5.6, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA
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* L4 Tensor Core GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li> <li>
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* <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload specifications: 8
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* vCPUs, 32 GB RAM, 24 GB VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent
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* stream session</p> </li> </ul> </li> <li> <p> <b> <code>gen6n_ultra</code>
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* (NVIDIA, ultra)</b> Supports applications with high 3D scene complexity. Uses
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* dedicated NVIDIA L4 Tensor Core GPU.</p> <ul> <li> <p>Reference resolution:
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* 1080p</p> </li> <li> <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload
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* specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM</p> </li> <li> <p>Tenancy:
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* Supports 1 concurrent stream session</p> </li> </ul> </li> <li> <p> <b>
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* <code>gen6n_high</code> (NVIDIA, high)</b> Supports applications with moderate
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* to high 3D scene complexity. Uses NVIDIA L4 Tensor Core GPU.</p> <ul> <li>
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* <p>Reference resolution: 1080p</p> </li> <li> <p>Reference frame rate: 60
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* fps</p> </li> <li> <p>Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM</p>
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* </li> <li> <p>Tenancy: Supports up to 2 concurrent stream sessions</p> </li>
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* </ul> </li> <li> <p> <b> <code>gen4n_ultra</code> (NVIDIA, ultra)</b> Supports
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* applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor
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* fps</p> </li> <li> <p>Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB
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* VRAM</p> </li> <li> <p>Tenancy: Supports up to 2 concurrent stream sessions</p>
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* </li> </ul> </li> <li> <p> <b> <code>gen6n_medium</code> (NVIDIA, medium)</b>
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* Supports applications with moderate 3D scene complexity. Uses NVIDIA L4 Tensor
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* Core GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li> <li>
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* <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload specifications: 2
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* vCPUs, 8 GB RAM, 6 GB VRAM</p> </li> <li> <p>Tenancy: Supports up to 4
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* concurrent stream sessions</p> </li> </ul> </li> <li> <p> <b>
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* <code>gen6n_small</code> (NVIDIA, small)</b> Supports applications with
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* lightweight 3D scene complexity and low CPU usage. Uses NVIDIA L4 Tensor Core
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* GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li> <li> <p>Reference
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* frame rate: 60 fps</p> </li> <li> <p>Workload specifications: 1 vCPUs, 4 GB RAM,
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* 2 GB VRAM</p> </li> <li> <p>Tenancy: Supports up to 12 concurrent stream
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* sessions</p> </li> </ul> </li> <li> <p> <b> <code>gen5n_win2022</code> (NVIDIA,
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* ultra)</b> Supports applications with extremely high 3D scene complexity. Runs
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* applications on Microsoft Windows Server 2022 Base and supports DirectX 12.
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* Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit
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* applications, and anti-cheat technology. Uses NVIDIA A10G Tensor Core GPU.</p>
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* <ul> <li> <p>Reference resolution: 1080p</p> </li> <li> <p>Reference frame rate:
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* 60 fps</p> </li> <li> <p>Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB
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* VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent stream session</p> </li>
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* </ul> </li> <li> <p> <b> <code>gen5n_high</code> (NVIDIA, high)</b> Supports
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* applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor
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* Core GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li> <li>
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* <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload specifications: 4
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* vCPUs, 16 GB RAM, 12 GB VRAM</p> </li> <li> <p>Tenancy: Supports up to 2
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* concurrent stream sessions</p> </li> </ul> </li> <li> <p> <b>
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* <code>gen5n_ultra</code> (NVIDIA, ultra)</b> Supports applications with
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* extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor Core
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* GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li> <li> <p>Reference
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* frame rate: 60 fps</p> </li> <li> <p>Workload specifications: 8 vCPUs, 32 GB
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* RAM, 16 GB VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent stream
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* session</p> </li> </ul> </li> </ul>
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* RAM, 24 GB VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent stream
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* session</p> </li> </ul> </li> <li> <p> <b> <code>gen4n_win2022</code> (NVIDIA,
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* ultra)</b> Supports applications with extremely high 3D scene complexity. Runs
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* applications on Microsoft Windows Server 2022 Base and supports DirectX 12.
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* Compatible with Unreal Engine versions up through 5.6, 32 and 64-bit
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* applications, and anti-cheat technology. Uses NVIDIA T4 Tensor Core GPU.</p>
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* <ul> <li> <p>Reference resolution: 1080p</p> </li> <li> <p>Reference frame rate:
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* 60 fps</p> </li> <li> <p>Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB
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* VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent stream session</p> </li>
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* </ul> </li> <li> <p> <b> <code>gen4n_high</code> (NVIDIA, high)</b> Supports
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* applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor
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* Core GPU.</p> <ul> <li> <p>Reference resolution: 1080p</p> </li> <li>
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* <p>Reference frame rate: 60 fps</p> </li> <li> <p>Workload specifications: 4
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* vCPUs, 16 GB RAM, 8 GB VRAM</p> </li> <li> <p>Tenancy: Supports up to 2
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* concurrent stream sessions</p> </li> </ul> </li> <li> <p> <b>
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* <code>gen4n_ultra</code> (NVIDIA, ultra)</b> Supports applications with high 3D
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* scene complexity. Uses dedicated NVIDIA T4 Tensor Core GPU.</p> <ul> <li>
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* <p>Reference resolution: 1080p</p> </li> <li> <p>Reference frame rate: 60
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* fps</p> </li> <li> <p>Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB
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* VRAM</p> </li> <li> <p>Tenancy: Supports 1 concurrent stream session</p> </li>
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* </ul> </li> </ul>
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*/
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inline StreamClass GetStreamClass() const { return m_streamClass; }
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inline bool StreamClassHasBeenSet() const { return m_streamClassHasBeenSet; }

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