Amazon GameLift is a managed service for deploying, operating, and scaling dedicated game servers for session-based multiplayer games. You can deploy your first game server in the cloud in just minutes, saving up to thousands of engineering hours in upfront software development and lowering the technical risks that often cause developers to cut multiplayer features from their designs. Built on the proven computing environment of Amazon Web Services (hereinafter referred to as “AWS”), Amazon GameLift lets you scale high-performance game servers up and down to meet player demand. You pay only for the capacity you use, so you can get started whether you’re working on a new game idea or running a game with millions of players.
Amazon GameLift works best with multiplayer games that have game sessions that begin and end within a specified time period. Typically, these are multiplayer games in genres like first person shooters, MOBAs, fighting, racing, or sports.
Amazon GameLift is designed to work for latency-intolerant games. Amazon GameLift introduces no additional latency during gameplay.
When joining a game session, your game client communicates with the Amazon GameLift service to reserve a player slot and receive connection details. This step may take up to several seconds. However, once the player connects to a game server, all player-to-server communication is done directly between your game client and game server. Latency experienced during gameplay will depend upon the player's internet connection and their physical distance to the game server.
Billing begins when you allocate Amazon GameLift capacity and Amazon GameLift launches your game’s server binary for the first time on each instance. Billing concludes when you stop instances. For Windows instances, which are billed per instance-hour, partial instance-hours consumed are billed as full hours. For Linux instances, which are billed per instance-second, there is a 1 minute minimum charge per-instance.
No, not directly. However, please note that successful matches with FlexMatch automatically result in the creation of new game sessions. Depending on how you’re managing game server capacity, creating new game sessions may trigger additional server instances, for which you’ll be charged standard Amazon GameLift instance prices.
Compared to running servers in a colocation environment, Amazon GameLift with Spot Instances and Autoscaling can save you up to 70% on compute costs. Here is a sample cost comparison.
We start with the AWS Total Cost of Ownership (TCO) calculator to estimate the cost of running game servers in a colocation environment.
For this example, we calculated costs in the US East region (N. Virginia) using Linux as our operating system and 2 CPU cores and 3 GB of memory for our servers. At peak demand, we assumed we needed 2,500 instances running. These inputs result in a 3-year total compute cost of about $4.5 million, or roughly $125,000 per month.
Next, we chose a comparable configuration with Amazon GameLift: a c4.large instance meets the 2 CPU cores with 3 GB of memory requirement.
Now we’ll calculate the cost savings from using Amazon GameLift Spot instances. While Spot prices fluctuate throughout the day, a good rule of thumb is that Amazon GameLift Spot instances running Linux are on average 70% less expensive than the same On-Demand instances. The On-Demand price for a c4.large instance in the US East (N. Virginia) region is $0.127 per hour. Using our rule of thumb, we arrive at a Spot instance price of $0.04. Running 2,500 instances 24 hours a day for an entire month (assuming a 30 day month) comes to $229,000 per month for On-Demand instances, but only $72,000 per month for Spot instances. So Spot instances give us a 42% savings over colocation.
However, based on the variability from player traffic, most games don’t need peak capacity 24/7. To automatically handle changing capacity needs based on your current player demand, Amazon GameLift autoscales the number of instances up and down throughout the day. While it’s hard to know what daily demand will look like for all games, we estimated that the hourly average runs at 50% of peak capacity. With auto-scaling, that brings the cost down just under $36,000 for the month.
Compared to the $125,000 we calculated for the colocation solution, that saves us $89,000 or 71%. Note that this calculation does not include the cost of data transfer. Data transfer fees are generated for traffic between your game servers and your game clients. Inbound data transfer is free. For outbound data transfer rates to other AWS services and regions in China, visit the Data Transfer Rates.
First, integrate Amazon GameLift into your game client and server using the AWS SDK and the Amazon GameLift Server SDK. Then, upload your game server to Amazon GameLift in your AWS Account, and use the Amazon GameLift console to set up fleets of computing resources and deploy your game. When your players connect, you can monitor your fleet through the Amazon GameLift console. You can also integrate Amazon GameLift with your custom game services like identity or matchmaking using the AWS SDK.
The Amazon GameLift Server SDK contains C++ and C# versions of the Amazon GameLift Server SDK and an Unreal Engine plugin to accelerate integration into Unreal Engine game servers. Amazon GameLift supports game servers that run on Windows Server 2012 R2 or Amazon Linux 2.
No, you are not required to authenticate players. However, you are required to provide a unique, non-personally identifiable player ID for each user. Learn more in the Integrating a Game Client section of the Amazon GameLift Developer Guide. Your game client must authenticate to your servers on Amazon GameLift using your AWS credentials. To learn more about how to set up and configure AWS credentials, please visit the Amazon GameLift Developer Guide.
You can track performance and health metrics for your game servers to discover and investigate issues. You can debug fleets during build extraction, installation, and runtime validation by downloading fleet creation logs from the Events tab in the Amazon GameLift Console. You can also remotely access individual instances in a fleet to inspect status, debug problems, or connect debugging tools. To remotely access instances, you can use either Windows Remote Desktop for Windows or SSH for Linux. You can also use Amazon GameLift Local to emulate a subset of the Amazon GameLift API so you can debug game server code locally on your development machine. Visit our Amazon GameLift Developer Guide to learn more about debugging and Amazon GameLift Local.
The Amazon GameLift Console provides real-time dashboards to help you understand your player’s experience. You can also use Amazon CloudWatch to monitor all of your Amazon GameLift resources and react to emergent issues. With CloudWatch, you can create at-a-glance dashboards and configure operational alarms to help identify issues before they impact your players. Amazon GameLift metrics are automatically available in CloudWatch as long as your fleet is active. Learn more about CloudWatch metrics in the Amazon GameLift Developer Guide.
Amazon GameLift Local is a client-side debugging tool that emulates a subset of the Amazon GameLift API on your local development machine. With Amazon GameLift Local, you can verify code changes in seconds, without incurring any usage charges. Amazon GameLift Local is packaged in the Amazon GameLift Server SDK download, available for Windows and Linux desktops, and does not require a network connection to use. Learn more about Amazon GameLift Local in our Developer Guide.
No. Amazon GameLift Local is a client-side debugging tool that only emulates the set of GameSession and PlayerSession client APIs needed to create games, connect players, and test your game server changes. Amazon GameLift Local does not emulate the additional Amazon GameLift client APIs (fleets, builds, aliases, scaling policies, etc.) required for hosting your game in production.
No. Amazon GameLift Local is intended to be used only for testing and debugging purposes and is not intended to be deployed into any production environment, on customer’s devices, or into cloud infrastructure.
Fleet-level aggregated data is generally available in the Amazon GameLift console within ten minutes of collection and server-level aggregated data is generally available within five minutes of collection.
Amazon GameLift provides a search capability that helps you filter and sort game sessions by characteristics meaningful to your players. You can filter and sort game sessions on attributes like game session age, current player count, maximum players count, open slots, or your own custom game properties. Learn more in our Amazon GameLift Developer Guide.
The Amazon GameLift matchmaking platform includes both FlexMatch and game session queues. FlexMatch lets you match players together based on rules you define. You can use FlexMatch to configure rule sets that group players together while balancing match quality and player wait time, and results are then automatically fed into a game session queue. Learn more about FlexMatch and game session queues in the Amazon GameLift Developer Guide.
No. Once you create a FlexMatch rule set, that rule set can’t be changed. To change a rule set, you must clone the rule set, give it a new name, and then create your changes. To change the rule set for a live matchmaker, you then update the matchmaker’s configuration to use the new rule set instead of the old one. Because a rules set may be used by one or more live matchmakers, this limitation guards against causing unintended consequences to live production systems.
Up to 50. The number of server processes depends on the performance requirements of your game servers and the instance type you choose for your fleet. When you set up a fleet, you will select an instance type and configure the fleet to concurrently run an optimum number of server processes. Running more processes on fewer instances can help you decrease costs. You can also configure your fleet to run multiple server builds or game configurations on each instance.
Amazon GameLift provides a truly elastic computing environment. Amazon GameLift instances enable you to increase or decrease capacity within minutes, not hours or days. You can provision one, hundreds, or even thousands of server instances simultaneously.
Seamlessly provide the capacity you need to meet changes in player demand with Amazon GameLift Target Tracking. Target Tracking is an autoscaling feature that allows you to simply set a percentage target for available game sessions, creating a buffer to accommodate fluctuations in player traffic. Amazon GameLift will add or remove capacity as required to keep this buffer of available game sessions at the target value you define and adjust to a fluctuating load pattern, minimizing rapid fluctuations in capacity. For more information, see the Autoscaling section of the Amazon GameLift Developer Guide.
You can also manually control the quantity of instances from the fleet details page in the Amazon GameLift console.
The right instance type depends on your game’s server performance and the number of server processes you plan to run concurrently on each instance. The computational complexity of your game, optimization of your game and network code, and maximum number of players are the main drivers for the size of the instance that you will need. One of the advantages of Amazon GameLift is that you only pay for what you use, which makes it convenient and inexpensive to test the performance of your game on different instance families and types.
Amazon GameLift retains activity metrics. When you terminate an instance, any data generated by your game server and stored on the instance is lost. However, you can instruct Amazon GameLift to retain and store these data files for up to seven days after the instance has been terminated.
A fleet is a set of Amazon GameLift instances in one region running one build of your game server. You can accommodate changes in player demand by increasing or decreasing the number of instances in your fleet. A fleet is configured to use a certain instance type, to deploy a build, and to run one or more server processes on each instance.
It typically takes less than an hour to set up the resources necessary to run your game, measured from the time you upload your game binary to when it is fully deployed and accessible to your players. This time is dependent on the size of your binary and the number of instances you are deploying.
Yes. You can remotely access an instance in a fleet that is in an activating, active, or error status. This is useful for debugging, inspecting player activity in real time, or connecting performance monitoring or benchmarking tools. You can modify your fleet’s port settings and protocols using either the AWS command line interface (CLI) or through the Amazon GameLift console.
Yes, Amazon GameLift makes updating production fleets simple with its alias feature. An alias enables you to direct traffic to fleets without having to change the client end-point descriptor. After creating a new production fleet, you can edit an alias to point from an older fleet to this newer fleet, routing all connecting players to the new fleet alias feature.
Similarly, if you discover an issue with a fleet (e.g., you find an issue in your game code), you can edit an alias to redirect traffic from the new fleet to an older fleet.
Within China: AWS China (Beijing) Region, operated by Sinnet. A matchmaker located in AWS China (Beijing) Region, operated by Sinnet will only place players into fleets in AWS China (Beijing) Region and can only be associated with a queue located in AWS China (Beijing) Region.
Amazon GameLift Spot instances offer access to spare AWS computing capacity at savings of up to 90% compared to On-Demand prices. However, Spot instances can be interrupted by AWS with two minutes of notification when AWS needs the capacity back. You can use this notification period to migrate or shut down games running on those instances. You can achieve cost savings while maintaining high game server availability with the use of FleetIQ, a new feature of Amazon GameLift that places new sessions on game servers based on player latencies, instance prices, and Spot interruption rates.
You get the same high-performance hardware as Amazon GameLift On-Demand instances, but save up to 90%. By accepting a small decrease in server availability as compared to using only On-Demand instances, you can save a lot of money.
Amazon GameLift Spot prices fluctuate based on the current supply and demand for each instance type in each region. Spot instance prices are set by Amazon and adjust gradually based on long-term trends in supply and demand for Spot instance capacity. However, Amazon GameLift Spot prices never exceed Amazon GameLift On-Demand prices. In the Amazon GameLift console, you can view three months of historical pricing and savings data for Amazon GameLift Spot for every instance type and region.
First, set up an Amazon GameLift Queue with multiple fleets based on different sizes of the same Spot instance family (e.g. C4.large, C4.xlarge, etc.). To place a game session, FleetIQ will place the game session into the fleet with the lowest price and the lowest interruption frequency. The Amazon GameLift Queue should include an On-Demand fleet. FleetIQ will prioritize game session placement into Spot fleets in a region first, then fall back to the On-Demand fleet if needed to maintain high availability. To see more best practices, visit the developer documentation.
When AWS occasionally needs more capacity, some Amazon GameLift Spot instances could receive a warning that the game servers must shut down within two minutes. When that happens, you can use the warning period to gracefully migrate or shut down active game sessions. To maintain an equal amount of available capacity for your game, FleetIQ will automatically start new servers in the same region by using alternate Spot instances types or by using On-Demand instances.
The update to Amazon GameLift FleetIQ allows developers to onboard low-cost game server workloads to the cloud at their own pace, using their own tools, and independent of adopting any other managed GameLift features. What’s not changing is the ability to do this while experiencing up to 70% cost-savings compared to existing on-premises deployments. Gradually move live games or launching new games to the cloud with the cost savings of EC2 Spot instances possible only with GameLift FleetIQ. In addition, it supports any runtime or OS that runs on EC2 today, along with many instance types and regions. Designed to integrate with your existing game backend incrementally, save on cost, speed your time to market, and deliver a reliable player experience.
This update to the GameLift FleetIQ feature is still part of GameLift. This feature update greatly enhances the flexibility in how game developers can adopt and use GameLift. Until now, the game servers that GameLift managed were not directly accessible to game developers from their own EC2 console. With these updates to GameLift FleetIQ, game developers now enjoy the benefits of the FleetIQ algorithm to find low-cost Spot instances, with those EC2 instances being placed into their own AWS accounts. With instances in their own accounts, customers can incrementally migrate server workloads to the cloud at their own pace, partially or completely, while maximizing cost savings and minimizing game session interruptions.
Last year we asked customers what would make GameLift an even better alternative to on-prem deployments. Cost-savings and low latency were already a given—but increased flexibility was a common theme. Specifically, they wanted the ability to use existing tools without GameLift’s game server management layer and more control in moving game sessions to the cloud.
Amazon GameLift FleetIQ is available in the following public regions: London, Ireland, Seoul, Mumbai, Oregon, Northern California, Northern Virginia, Ohio, Canada, Sao Paulo, Frankfurt, Singapore, Tokyo, Sydney and AWS China (Beijing) region, operated by Sinnet.
With general availability for the GameLift FleetIQ update, only pay for what you use. GameLift FleetIQ charges a fee derived from EC2 instance charges under GameLift FleetIQ management. For full details, learn more on the pricing page.
The new update to FleetIQ runs on the same hardware as EC2, but uses EC2’s spare capacity called Spot to save customers money (up to 70% cost-savings compared to existing on-premises deployments) from FleetIQ replacing Spot instances that are more likely to have game session interruptions with instances that are less likely. This update can also prevent instances hosting games from being scaled-in by the standard Auto Scaling group.
An Amazon Machine Image (AMI) is a supported and maintained image provided by AWS for use on Amazon EC2. Amazon GameLift uses Windows 2012 R2 and Amazon Linux 2 to run your game server. An AMI is designed to provide a stable, secure, and high performance execution environment for applications running on Amazon EC2. It also includes packages that enable easy integration with AWS, including launch configuration tools and many popular AWS libraries and tools. AWS provides ongoing security and maintenance updates to all instances running the Amazon AMI.
No. Only your authorized users with the necessary AWS credentials can access the Amazon GameLift console. You can use AWS Identity and Access Management (IAM) to securely share AWS credentials across a team. Please see Creating IAM Policies for Amazon GameLift for more details.
We worked with a customer to measure latency between player game clients and Amazon GameLift servers. Based on 236,000 unique players connecting between May 1 and May 10, 2018 to servers in 9 regions, median latency globally for Amazon GameLift was 41 milliseconds.