Riot Games was founded in 2006 and released its first game League of Legends in 2009, which became the most played PC game in the world. In its early startup phase, Riot Games had a single MySQL database for its data warehouse that was ETL'd from production servers into Excel for reporting, all by one person. As the company grew, the data warehouse reached its breaking point where 24 hours of data took 24.5 hours to process. To address this, Riot Games upgraded its infrastructure to use Hadoop for a cloud-based and scalable data warehouse, and implemented an automated software development pipeline.

1. RASHID ANSARI
MTECH(ACDS)
170847980003

2. RIOT GAMES
 It was founded in 2006 by Brendon Beck and Marc Merrill.
 In 2009, released its first game League of Legends.
 This game become the most played PC game in the world.
 Players are the foundation of RIOT Games.
 Its headquarter in Los Angeles and 23 offices worldwide.

3. START-UP PHASE
 Had a single, dedicated MySQL instance for the DW.
 Data was ETL’d from production slaves into this instance.
 Queries were run in MYSQL.
 Reporting was done in EXCEL.
 All ETLs, queries and reporting were done by one person

4. GROWTH

5. BREAKING POINT
 Data warehouse reached a breaking point.
 24 hours of data took 24.5 hours to ETL
 Very difficult to handle
 Gaming customers by resolving problems
 Old system wasn’t designed to operate current level of players.
 Increase Downtime.
It Needed to change

6. UPGRADING
 To upgrade the software infrastructure to Hadoop
 Cloud-based data warehouse
 End-to-end automated software development pipeline.

7. HADOOP
Hadoop has a number of great qualities
 Cost effective
 Scalable
 Open Source
 Execute quickly

8. UPDATED
 Took 3 months to build.
 Now, Company roll out software updates went from taking two weeks to less than
ten minutes.
 Removed most of the software downtime.
 Scalable

9. CHALLENGES
 Significant portion of software runs directly on players’ machines.
 Understand the performance, reliability and stability to improve player experience.
 Game is ALIVE.
 Global
 PC Variability

10. ARCHITECTURE

11. HADOOP TOOLS
 Honu: Streaming log collection and event processing pipeline
 Platfora: BI analysis and visualization
 Oozie: Workflow job scheduler
 Hive: Data warehouse and queries
Riot Games used Honu as a key technology in its software development pipeline.

12. HONU PIPELINE

14. THAKYOU