We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.
If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”
Essential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.
Performance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.
Functional cookies help us provide useful site features, remember your preferences, and display relevant content. Approved third parties may set these cookies to provide certain site features. If you do not allow these cookies, then some or all of these services may not function properly.
Advertising cookies may be set through our site by us or our advertising partners and help us deliver relevant marketing content. If you do not allow these cookies, you will experience less relevant advertising.
Blocking some types of cookies may impact your experience of our sites. You may review and change your choices at any time by selecting Cookie preferences in the footer of this site. We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice.
We display ads relevant to your interests on AWS sites and on other properties, including cross-context behavioral advertising. Cross-context behavioral advertising uses data from one site or app to advertise to you on a different company’s site or app.
To not allow AWS cross-context behavioral advertising based on cookies or similar technologies, select “Don't allow” and “Save privacy choices” below, or visit an AWS site with a legally-recognized decline signal enabled, such as the Global Privacy Control. If you delete your cookies or visit this site from a different browser or device, you will need to make your selection again. For more information about cookies and how we use them, please read our AWS Cookie Notice.
To not allow all other AWS cross-context behavioral advertising, complete this form by email.
For more information about how AWS handles your information, please read the AWS Privacy Notice.
We will only store essential cookies at this time, because we were unable to save your cookie preferences.
If you want to change your cookie preferences, try again later using the link in the AWS console footer, or contact support if the problem persists.
Amazon GameLift Streams uses WebRTC open standard protocol which helps you stream your game without modifications. You only need to upload your application to an Amazon Simple Storage Service (S3) bucket, without the need to recompile or change your game code.
Amazon GameLift Streams supports games running on Microsoft Windows, Ubuntu Linux, or Proton with easy onboarding, providing compatibilities with game binaries at the right price-performance required for your game and business model.
Amazon GameLift Streams includes a custom launch script for Proton that enables you to bring your own pre-configured Proton game builds and helps you configure and test your game’s compatibility setting prior to deployment.
Amazon GameLift Streams offers three classes of compute resources—or stream classes— to choose from, giving you the flexibiliity to choose the right type for your game performance requirements and desired price point. A stream class represents the type of compute resources to run games. Stream classes vary in CPU, GPU, RAM, and other specifications, offering different levels of performance and cost. Amazon GameLift Streams provides NVIDIA GPU-based stream classes with both "high" (shared) and "ultra" (dedicated) options. The stream class you choose impacts streaming performance and cost.
On Linux and Proton runtimes, Amazon GameLift Stream classes offer “high” stream classes, a cost-effective option that shares a single GPU across 2 concurrent streams. This is useful for streaming games that don't require maximum hardware capabilities.
Amazon GameLift Streams enables you to deploy and stream games across multiple applications and geographic locations from a single stream group in your primary region. Developers can share this capacity with multiple games using the same runtime (Windows, Linux, or Proton). Amazon GameLift Streams is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Europe (Frankfurt), and Europe (Ireland).
Multi-application stream groups allow you to link multiple game titles, enabling you to stream different games from the same pool of compute resources. This many-to-one relationship allows you to efficiently manage resources across multiple applications or versions of your game. When starting a stream session, you can specify which linked application to stream, supporting faster iterations and shared capacity between multiple game versions or different content offerings.
Track your streaming performance with detailed CloudWatch metrics. Access comprehensive data about stream usage, session durations, location distribution, and more. These insights help you optimize your service usage and measure game success.
The Web SDK contains all the front end and integration pieces you need to get up and running with Amazon GameLift Streams. Included is the Amazon GameLift Streams example web application which is a sample HTML5 frontend local website that you can use to share your streams and accelerate your testing of Amazon GameLift Streams.
Monitor your game's performance and troubleshoot issues by collecting output logs from your game engine. These logs help you identify crashes and resolve production problems, providing valuable diagnostic information when needed.
When faced with complex technical issues, initiate a snapshot of an active stream to gather detailed resource data. This feature captures the instance state, allowing you to examine the source code and debug specific challenges in your running application.