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This will give you up to 255 IPs (251 not dedicated to Amazon) to work with per subnet and leave your VPC and subnets plenty of room to grow.Ħ. In this demo you will create 2 subnets – 1 Public ( 10.0.1.0/24) and 1 Private ( 10.0.2.0/24) using /24 masks. Configure the routes to allow public internet through the Internet Gateway.ĥ. Attach the internet gateway to your nicedcv-quicudp-demo VPC.Ĥ.

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Add an internet gateway and update the routes of the VPC to include the internet gateway.ģ. For this demo you are going to use a 10.0.0.0/16 IPv4 CIDR block VPC in us-east-1 (N. Walkthrough (~60 minutes) Part 1: The server – launching the NICE DCV server AMI Configure your networking: VPC, security groups, and route tablesġ.

However, you will want to ensure you have limits increased for G4dn instance before proceeding with either the AWS Sample quick version or the step-by-step walkthrough outlined in this blog. Because both the script in the AWS Samples GitHub and this blog use the NICE DCV AMI, you will not need to subscribe on the AWS Marketplace. This AWS sample deploys a small amount of infrastructure via infrastructure as code, allowing users to deploy a workstation and login in only a few commands by using AWS CloudShell, a browser-based shell, directly in the AWS console. This was written to support the same Amazon Machine Image (AMI) used in this blog to demo NICE DCV with QUIC UDP. sh file available on the AWS Samples GitHub.

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If you would like to spin up a workstation for testing games or other software using the command line and an automated script, check out the following single-script AWS CloudShell. Quick version – AWS CloudShell automated workstation script (10 Minutes)

~60 Minutes, depending on software installed.

We recommend initially setting up your demo off any VPN or internal network to understand the basics before introducing additional variables.

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Intermediate knowledge of Windows and AWS Identity & Access Management (AWS IAM), security groups, and VPC networking.Account access permissions to create and configure Amazon Virtual Private Cloud (VPC) networking and security groups, as well as spin up G4dn instance family EC2 on-demand instances.An AWS account with limits increased for Amazon Elastic Compute Cloud (Amazon EC2) G4dn instances for the number of workstations you need.Prerequisitesīefore starting this tutorial, developers should have the following: Contact us to design an architecture that works for your organization.

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Access the workstation with DCV Viewer using QUIC UDP and install development softwareĭisclaimer: The steps in this blog are meant for tutorial purposes and initial streaming proof of concepts, and not a full-enterprise solution.

Configure and lock down the network to TCP (transmission control protocol) and UDP connections.

This AMI has QUIC UDP enabled by default.

Setup an AWS workstation using the NICE DCV for Windows (g4dn with NVIDIA gaming driver) available on the AWS Marketplace.

There is a fundamental goal shared by all game production in the cloud use cases – how can you ensure high Frames Per Second (FPS) while streaming? In this blog post, we’ll walk through the steps to configure a remote workstation to stream at 60 FPS and use QUIC UDP (user datagram protocol) communication with NICE DCV, a high-performance remote display and streaming protocol that provides customers with a secure way to deliver remote desktops and application streaming, in the AWS cloud. To reduce costs, dedicate more time to building immersive and entertaining worlds while supporting globally distributed workforces or hybrid work environments, developers are turning to AWS to transition to game production in the cloud (GPIC) solutions, solving use cases including remote QA testing, remote distribution of games to press, and the consolidation of 3D development streaming in immersive environments. Previously, to create distributed development pipelines, studios would need to ship hardware to engineers and spend significant amounts of time on-boarding employees to new environments. By using AWS game development in the cloud solutions, teams are provided with the resources needed to rapidly code, deploy, and publish games remotely. More and more game studios are moving workstations and continuous integration / continuous deployment (CI/CD) pipelines to cloud infrastructure.

Now game developers are looking to define a more permanent future of work on their own terms by moving completely to the cloud. Game teams of all shapes and sizes were left with two choices: rush to take home workstations and then use their virtual private network (VPN) to access the office, or leave office development workstations and remote desktop protocol (RDP) from home hardware.

In 2020, COVID-19 accelerated the demand and innovation for remote solutions. In recent years, game development has become increasingly distributed.