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Lei Xia (Senior Data Mining Engineer, Thunderfire UX)
Pass Type: All Access Pass, Summits Pass - Get your pass now!
Topic: Programming
Format: Session
Vault Recording: TBD
Audience Level: Yes
Big data systems are increasingly pursuing real-time, as well as in the game field. The more real-time the data is, the more timely the decisions we can make. However, this also poses a higher challenge to our data accuracy. When there are abnormal data fluctuations, we need to immediately judge whether it is the abnormal behavior in the game or the abnormality in the data pipeline. In the development practice of ThunderFire UX, we have established a complete data exception monitoring system to monitor every aspect that may go wrong, whether it is the problem of the real-time system itself or the exception of the game service. Through our system, we can quickly troubleshoot the abnormal stage, so as to quickly evaluate the time taken for the system to return to normal. In this speech, in addition to showing the audience how to build this system, we will also show the audience how this system finds various exceptions in practice, such as exceptions in network transmission, exceptions in the task scheduling systems, and exceptions in-game service itself. By listening to this speech, both data engineers, data analysts, QA, SA, and game programmers can quickly apply the ideas of this system to their own game projects and quickly troubleshoot the problems in the game.
By listening to this speech, both data engineers, data analysts, QA, SA, and game programmers can quickly apply the ideas of this system to their own game projects and quickly troubleshoot the problems in the game.
data engineers, data analysts, QA, SA, game programmers