As a maker of real-time strategy games for web and mobile, KIXEYE's business depends on deep insights into how players play our games. By analyzing player behavior in a rich and flexible way, we are able to better target our efforts around user acquisition, game balance, player retention, and game monetization. By storing and analyzing data in standard ways, our data scientists are better able to take learnings from one game and apply them to another.
This presentation describes KIXEYE's newly-minted modern analytics infrastructure soup-to-nuts, from Kafka queues through Hadoop 2 to Hive and Redshift. It outlines our efforts around queryability, extensibility, scalability, standardization, and stability and outage recovery. It further shares our lessons learned in building, testing, operating, and enhancing this mission-critical piece of our infrastructure.