AWS for Games Blog

Category: Game Development

The AWS Cloud9 homepage in the AWS console.

Customize the Game Analytics Pipeline Schema using AWS Cloud9

Authored by Molly Sheets and Greg Cheng Requirements for game analytics vary between games and studios when defining specific data tracked per user. Some studios prefer data pipelines that process data anonymously in order to meet regulatory and privacy compliance standards. Others require unique identifiers to deliver on complex analysis, logging, AI/ML, monetization, and visualization […]

Using machine learning to understand a user community

This guest post is authored by Alexander Gee, co-founder of Oterlu AI. For two years I led a Child Safety team at Google in Silicon Valley that worked hard to keep children safe when using different online services. Over my career I have built up experience and know-how using technology to tackle everything from hate […]

Behaviour Interactive introduces cross-platform play using AWS

Behaviour Interactive is one of the largest independent game studios. Based in Montreal, Canada, it has nearly 700 employees worldwide. In 2020, its most successful IP, the award-winning Dead by Daylight, celebrated 30 million players across PC, console, and Stadia, with another 10 million on mobile. Originally launched in 2016, much of Dead by Daylight’s […]

On-Demand Webinars: Dive into Analytics and LiveOps with AWS Game Tech

In September, the AWS Game Tech team hosted three webinars exploring how to build a real-time games analytics pipeline on AWS, as well as how to enable a LiveOps plan to offer better game play experiences using cloud services. Interested in learning more? Check out the webinar abstracts below, and click through to register for […]

Visual representation of Backtrace.io workflow

How Backtrace streamlines crash reporting with Amazon Elastic Compute Cloud and Amazon Elastic Block Store

For many developers, resolving application, server, and game errors can feel like a detective solving a crime. The process of identifying, triaging, and finding root causes is long and littered with obstacles. If players find a bug before you push a fix, it could ruin their experience, and ultimately impact the success of your game. […]

Generate Custom Game Events from Unity Integrated With the Game Analytics Pipeline

Today’s game developers use analytics as a critical workload to deliver the best gameplay experiences possible for their players. As developers look to have more control over where their data is stored and to reduce the complexities of ingesting data from a variety of sources, many turn to AWS to help them create their own […]

Detect fraud in games using machine learning.

Detecting fraud in games using machine learning

As video games rise in popularity and more games move toward free-to-play models, there’s more opportunity for fraudulent behavior among players. Fraud is problematic for studios because it devalues in-game currency that’s bought with real money and the digital goods that can be purchased with it. Fraud also causes players to lose trust in the […]

Taking Apocalypse Studio to the cloud via AWS

In this guest post, we hear from Apocalypse Studio founder Denis Dyack. Denis has a long history in game development, working on titles including Blood Omen: Legacy of Kain, Eternal Darkness: Sanity’s Requiem, Metal Gear: Solid Twin Snakes, and Too Human. Denis also has a background in Computer Science, earning a Masters. Sc. in Artificial […]

Analytics and Machine Learning

Ingest and visualize streaming data for games

Game studios are increasingly realizing the value of player and game data. With analytics, you can turn this data into actionable insights to better meet your players’ high expectations for amazing games. This blog post explores two important components of analytics for games—ingestion and visualization—and how they can be implemented using the AWS Game Analytics […]