Friday, March 28, 2025

AWS GameLift Pricing, Benefits And Use Cases Explained

In this Article Let us discuss about AWS GameLift Pricing, Advantages, Use Cases and What is Amazon GameLift Streams?

Use Amazon GameLift Streams to scale and provide gaming streaming experiences.

Amazon GameLift has been used by game developers since 2016 to power games with scalable, dedicated server hosting that can accommodate up to 100 million concurrent users (CCU) in a single game. Amazon is launching Amazon GameLift Streams, a new feature in Amazon GameLift that will assist game publishers in creating and delivering worldwide, direct-to-player game streaming experiences, in response to consumer desires for more managed compute capabilities outside of game servers. With this release, Amazon GameLift’s current features now referred to as Amazon Gamelift Servers continue to support hundreds of creators, including market titans Ubisoft, Zynga, WB Games, and Meta.

With Amazon GameLift Streams, you can broadcast games to PCs, iOS, and Android devices at up to 60 frames per second and 1080p quality. With just a few clicks, you can stream games to any web-enabled device via the AWS Network Backbone and publish games created with various 3D engines, unaltered, onto fully-managed cloud-based GPU instances.

Without having to spend millions of dollars on software development and infrastructure to create your own service, Amazon GameLift Streams enables you to distribute your games directly to gamers. Without having to wait for installs or downloads, players may begin playing in a matter of seconds.

A brief overview of Amazon GameLift Streams is provided here:

 Amazon GameLift Streams
Image credit to Amazon

You may start streaming to players by integrating the Amazon GameLift Streams SDK with your current identity services, shopfronts, websites, game launchers, or newly developed experiences like playable demonstrations. You can easily grow your streaming infrastructure across different locations on the AWS global network to reach more players worldwide with low-latency gameplay, and you can keep an eye on active streams and consumption from within the AWS interface. The only option that allows you to publish your game content onto fully managed GPU instances in the cloud and begin streaming in a matter of minutes with minimal code adjustment is Amazon GameLift Streams.

On PCs, phones, tablets, smart TVs, and any other device with a WebRTC-enabled browser, players can access AAA, AA, and independent games. By enabling you to flexibly scale streaming bandwidth to player demand, Amazon GameLift Streams makes sure you only pay for what you require. You can rely on AWS’s integrated security to safeguard your intellectual property while selecting from a variety of GPU instances that offer a range of price and performance.

What is Amazon GameLift Streams?

With Amazon GameLift Streams, you can stream games to any browser-enabled device at up to 60 frames per second and 1080p quality. Players may begin playing in seconds without waiting for installs, and you can deploy and stream your game content in minutes without making any changes with the AWS global footprint and GPU instances.

Advantages

Deliver smooth, real-time, high frame rate gameplay globally

Transform any browser-based device into a potent gaming machine by streaming fluid gameplay of AAA, AA, and Indie games at up to 1080p resolution and 60 frames per second (fps) without the need for downloads.

Stream your games in minutes, unmodified

With support for games running on Windows, Linux, or Proton, you can begin streaming your game builds in a matter of minutes without having to change your game code to make it work with the newest hardware and browsers.

Reach more players directly with your own distribution channels

Offer instant-play demos and games without downloads to attract and engage more players worldwide. You may also set up a gaming shopfront that streams both your new and old titles.

Save hours of playtesting time

By safely sending game builds to your playtesting and quality assurance (QA) teams, you may expedite your development lifecycle and save hours of download and installation time.

Use cases

Build and deliver game streaming experiences with 1080p resolution at 60 frames per second

Create your own distribution channels to acquire new players

To increase your player base, build relationships with players directly, and open up new revenue streams, start gaming services, shopfronts, or subscription services.

Breathe new life into back catalogs

Without using developer resources to update and configure games for browser and device compatibility, you can enable instant play for your game titles’ back catalogues and add features that were previously impracticable to please gamers.

Create on-demand game demos

In order to instantly engage gamers and boost interest and adoption, expand your player base by providing “instant play” links on websites, in ads, or during live streaming on platforms like as Twitch.

Build online virtual worlds to extend your game brands

Build captivating virtual worlds around your characters and gaming world to entice gamers to interact with your businesses in novel ways.

Conduct secure testing with public playtesters

Before your games are released, get input from your most devoted players on new features, content, and gameplay modes in a secure manner without compromising your game development.

AWS GameLift Pricing

Stream capacity cost overview

Allocated capacity is the amount of money you spend to have computing resources set up and prepared to begin streaming sessions. All of your available capacity, whether or not games are being streamed to players, is referred to as allocated capacity.

At the stream-group level, you make a stream capacity request. The type of compute resource you wish to employ, known as the stream class, is specified in a stream group (e.g. stream class with NVDIA’s T4 GPU, 8 vCPUs, and Microsoft Windows runtime). Stream

The number of instances of that computing resource that you wish to provision is known as its capacity. You will be charged according to the allocated capacity count per second for each stream group.

A stream group automatically includes at least one stream capacity when it is created. As a result, the moment the stream group is operational, you start to pay for each stream capacity.

There are two approaches to capacity allocation:

On-demand capacity details

Amazon GameLift Streams’ ability to allocate streaming capacity in response to stream requests and then de-allocate it once the session has ended is known as on-demand capacity. In exchange for a longer stream start time (usually less than five minutes), this provides a cost-control strategy. You ask for the capability you require at the appropriate moment. AWS clients can access the on-demand capacity pool on a first-come, first-served basis. It is a shared resource that is not guaranteed. The ‘on-demand rate’ determines the cost of on-demand capacity. By modifying your stream group in Amazon GameLift Streams, you can immediately request on-demand capacity. The service quotas set a maximum amount that you can request.

Always-on capacity details

Streaming capacity that has been pre-allocated and is prepared to process stream requests instantly is known as always-on capacity. For gamers who want to begin broadcasting and playing a game in a matter of seconds, this is the greatest choice. You can reserve always-on capacity in advance and turn it on or off, and you pay for this capacity whether it is used or not.

Storage costs details

For Amazon GameLift Streams to stream your game or application, you must pay to store it along with other data. When you use the stored material to construct a GameLift Streams application, you have to pay. The quantity of stuff you save and how long you keep it during the course of the month determine the cost you pay. The cost of data transit, replication, processing, and storage are all included in storage price. For more details visit Amazon GameLift Strems Pricing Page

Thota nithya
Thota nithya
Thota Nithya has been writing Cloud Computing articles for govindhtech from APR 2023. She was a science graduate. She was an enthusiast of cloud computing.
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