AWS for Games Blog
Author: Daniel Lee
Daniel Lee is a Solutions Architect at AWS working with enterprise customers in the game industry. He focuses on analytics and creating scalable, enterprise grade solution proof of concepts and helps customers integrate and well-architect their workloads.
Generate custom game events from Unreal Engine 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 anomalies in games with Amazon Lookout for Metrics and the Game Analytics Pipeline Solution
Game analytics can be a powerful tool to help studios throughout the development cycle. Insights driven from game data can help you to create more engaging, personalized experiences for players and more efficiently monetize games. it can also help with fraud investigations, as well as performance monitoring and error reporting. Anomaly detection is commonly used […]