AWS for Games Blog
Category: Amazon API Gateway
Building resilient and secure game backends with Amazon CloudFront
In today’s gaming landscape, milliseconds can mean the difference between victory and defeat. Games have transformed from standalone experiences to always-on, live services. These services handle real-time multiplayer interactions, robust social features, and continual updates to meet the demands of players. Dynamic services need fast, reliable and secure backend infrastructure to deliver seamless experiences globally. […]
Level up data-driven player insights with the updated Game Analytics Pipeline
In the fast-paced gaming industry, successful studios utilize real player data to drive game development. Data-driven insights create powerful feedback loops to refine game features, optimize monetization strategies, detect cheaters, and improve performance. This empowers developers to improve player experiences and drive growth. Despite recognizing the value of analytics, many game studios grapple with limited […]
Deploy your first web application with Amazon GameLift Streams
Imagine running graphically intense 3D applications instantly in your web browser, with no downloads or powerful hardware required. That’s the magic of pixel streaming, a game-changing technology that’s revolutionizing how businesses deliver immersive digital experiences. While traditionally complex and costly to implement, Amazon GameLift Streams is making this powerful capability accessible to companies of all […]
Shiny Shoe launches Monster Train 2 on AWS
Independent game studio Shiny Shoe had ambitious plans from the get-go in developing strategic roguelike deck building game Monster Train 2. Released May 21, 2025 across platforms, the game pits players against dangerous enemies in a tactical quest for survival. A follow up to the critically acclaimed Monster Train released in 2020, the sequel introduces […]
Cost optimize your Minecraft Java EC2 Server
A key principle of cloud services is to run compute services only when actively in use. Minecraft servers on the cloud often run at times without players connected resulting in wasted compute spend. This blog offers a way to cost optimize Minecraft servers on Amazon Elastic Compute Cloud (Amazon EC2) by reducing the time the […]
Level-Up Mood Board Creation with Miro and Amazon Bedrock – Part 2
This blog is co-written by Sean Winters, Senior Platform Architect, Miro. Creation of mood boards can feel overly complex or take a lot of time to create and iterate on. We’ll show how you can integrate generative artificial intelligence (AI) capabilities, image generation models, directly in a Miro board using Amazon Bedrock APIs, enabling better […]
Using generative AI to analyze game reviews from players and press
Professional game reviewers and players both provide essential feedback that helps game developers and studios improve their games. Professional reviews offer expert analysis of technical aspects and design, while player reviews provide insights into real-world experiences and practical issues encountered during gameplay. Game developers, studios, and publishers face significant challenges when evaluating game reviews due […]
How AWS Powered Global Power Rankings for LoL Esports Worlds 2024
Whether you want to see how your favorite teams are trending or you’re seeking a better understanding of the competitive landscape, Global Power Rankings is the new way to track team strength for League of Legends Esports competition. With a calculated Power Score and highlights like “Biggest Mover” and “Biggest Upset”, Global Power Rankings aim […]
Maximize Your Game Data Insights with the updated Game Analytics Pipeline
In the highly competitive gaming industry, collecting and utilizing data has become a driving factor for game success. Game studios of all sizes have realized the immense value in analyzing player data to drive key business decisions. Additionally, the trend of releasing Games-as-a-Service where revenue is primarily generated from in-app purchases, subscriptions, and other microtransactions, […]
Operationalize generative AI applications on AWS: Part II – Architecture Deep Dive
In our previous blog, Operationalize generative AI applications on AWS: Part I, we covered the basics of how companies are using generative AI and Large Language Model Operations (LLMOps) on AWS. We discussed use cases for game companies using generative AI, ways to customize LLM, and a high-level architecture for the LLMOps solution on AWS. […]