AWS for Games Blog
Category: Compute
Migrating from Kubernetes and Agones to Amazon GameLift Servers
In this post, we discuss some of the differences between the two hosting options and cover how to migrate from an Agones-based implementation to Amazon GameLift Servers.
How Agentic AI Is Transforming Game Infrastructure Management
Learn how for one games studio, their operations team spend 60% of their time context-switching between AWS Console interfaces and troubleshooting capacity issues during launch events. During one major content release, manual scaling decisions led to a 2-hour queue time spike that resulted in 12% player churn.
Building an AI game testing agent with Amazon Bedrock
In this post, we walk through how we built an autonomous QA agent on Amazon Bedrock that connects to a running Unity game and executes test scenarios without human intervention. We cover connecting to a game’s internal object hierarchy, a perception and reasoning loop inspired by recent research on autonomous testing agents, and game-agnostic tools that extend as complexity increases. The approach was validated against a turn-based mobile strategy game built in Unity.
Player profiles to leaderboards: Choosing the right AWS database, Part 1
This is the first post in a series that will discuss the foundational data workloads: player profiles, inventory, session management, and content configuration. Part 2 addresses live operations and social features: leaderboards, matchmaking, chat, social graph, and game analytics.
How Lore rethinks binary asset storage on AWS
In this blog, we explain how Lore—an open-source version control system created by Epic Games—rethinks binary asset storage by splitting files into content-addressed fragments that eliminate redundancy and make branching effectively free. We also share the reference architecture developed with Epic for deploying Lore on AWS using services like Amazon EC2, Amazon ECS, Amazon S3, and Amazon DynamoDB.
Open source 3D game asset generation using AWS
The purpose of this post is to highlight how to convert 2D art and game assets into 3D assets using open source models on the lowest level of the tech stack possible: Amazon Elastic Compute Cloud (Amazon EC2) instances.
Player profiles to leaderboards: Choosing the right AWS database, Part 2
In this post, we continue with the real-time, social, and analytical workloads: leaderboards, matchmaking, chat, social graph, and game analytics. Each of these has distinct access patterns that require different database choices. This post assumes familiarity with AWS database services and basic game backend architecture.
Rapid game server iteration on Amazon GameLift Servers
In this blog post, I present a new solution that you can use to iterate quickly on new game server versions and host multiple different versions on a single Amazon GameLift Servers fleet.
Introducing enhanced capacity auto scaling for Amazon GameLift Streams
Quality game streaming requires instant responsiveness. Players expect to click and play, without waiting for infrastructure to provision or for long loading times to complete. Today, we’re excited to announce enhanced auto scaling capabilities for Amazon GameLift Streams that deliver both faster stream availability and intelligent cost optimization through an elastic, demand-based scaling system. Amazon […]
Creating interactive gaming experiences with Amazon GameLift Streams and Amazon Interactive Video Service
Modern game development demands operational sophistication that extends well beyond the creative process. As studios navigate the journey from concept to launch, a few challenges consistently emerge when getting outside perspectives on the game. Quality assurance at scale remains a persistent bottleneck, with traditional playtesting workflows involving downloading builds, coordinating sessions, and manually reviewing recorded […]









