Demos

• CI/CD pipeline for containerized game servers

  The biggest challenge faced by game publishers is the ability to deliver new features to players as quickly as possible. Not only do new features have to arrive quickly and reliably, but they also need to be delivered in a way that optimizes costs and maintains security. Continuous integration and continuous deployment (CI/CD) pipelines with GitOps is an effective way for game publishers to improve games and deliver new features throughout the development lifecycle. In this demo we’ll discuss how CD pipelines when combined with GitOps best practices can be used to automate the distribution of game binaries and their assets. 

• Databases 101

  This demo provides an overview of the purpose-built AWS databases. We will walk through common use cases and how to choose the right tool for the right job. 

• Accelerated networking 101

  Learn about a core networking services called AWS Global Accelerator and how it can help you speed up your internet traffic for online multiplayer games by leveraging AWS's global infrastructure.
  

• Content delivery 101

  Learn about a core networking service for content delviery Amazon CloudFront, and it can help you get game binaries to your customers more quickly by leveraging AWS's global infrastructure.
  

• Amazon Lumberyard 101

  This demo will provide customers with an introduction to the Lumberyard power tools available to build a game. The key features include world building with Slices, Script Canvas for scripting game logic and EMotion FX for controlling character animation.

• Serverless Analytics 101

  Learn why you want to use analytics in a video game. Learn how to build out a batch and near real-time analytics pipeline and integrate it into a Unity game to get useful insights. 

• Amazon GameLift game servers 101

  A walkthrough of common game architecture patterns with Amazon GameLift and explore an example in the GameLift console. 

• Cross-Play games on AWS

  Cross-platform play is the ability to allow different gaming platforms to share the same online servers in a game, allowing gamers to join together. In this session, you'll find hint how to configure the backend of cross play games on AWS, along with a sample architecture. 

• Extend AWS data centers to anywhere

  The talk covers subjects of how to move the cloud workloads closer to end users. What mechanisms like AWS Local zones, AWS Outposts and AWS Wavelength are and which use cases those cover. 

• Building an ML Powered Abuse Detection Pipeline with Amazon SageMaker

  While detecting cheaters can often be an uphill battle, systems trained using machine learning algorithms can help leverage the data game developers already have in order to automate escalation and action against cases of suspicious behavior. In this demo, we'll showcase what it looks like to build an end to end pipeline with example player telemetry data.

• Alexa, create an adventure

  Hear about how Alexa's RPG Experience, Starfinder was created. The demo covers an introduction to the game, and demo of Alexa Skill creating tool, Skill Flow Builder.

• Create in-game music with machine learning

  Machine learning isn't just for data analysis - you can use it to help create content for your games as well! Join this demo to see how to use AWS DeepComposer to try out new variations on musical themes regardless of your level of technical expertise -- and then dive deeper to see how generative adversarial networks and Amazon SageMaker can be used to build content for your game even at runtime. 

• Land a rocket with reinforcement learning

  This demo will show how Game Developers can use reinforcement learning (RL) in their video games. In this demo, we will demonstrate how to use RL to train a lunar lander vehicle in an OpenAI Gym Box2D simulation environment to land itself on the moon. Learn to train and optimize an agents, and compete against others to see who can create the most optimized RL model that can land on the moon accurately.  

• Studio in the cloud for asset creation

  Create game assets in the cloud with applications such as Epic Games Unreal Engine, Autodesk 3dsMax, Adobe Photoshop, and AWS Thinkbox Sequoia. Connect to a G4DN-based Windows virtual workstation via the AWS' NICE DCV remote display protocol and interact with applications using all input devices including mouse, keyboard, and a Wacom tablet.
  

• Visualizing and Querying Knowledge Graphs from an MMORPG with Amazon Neptune

  Graph databases are an immensely valuable tool for understanding highly interrelated data, but most developers are not used to modeling and querying data with graph database tools. This demo showcases an in-browser visualization and query explorer built on top of Apache Tinkerpop Gremlin and Amazon Neptune, with a dataset from a wildly popular MMORPG. 

• Building community engagement on Twitch

  Live streaming on Twitch brings communities together, providing game developers with a unique opportunity to build engagement for these audiences. Discover the versatility of Twitch Extensions during our hands-on demonstration and recognize the interactive potential of your game during live broadcasts.

• Automate code review with machine learning

  Discover the many uses of machine learning to build tools which automate skilled but repetitive manual work. We introduce Amazon CodeGuru, a machine learning powered tool, which automates code review. We look at how it works, what it can do, and then investigate with a demo.