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Turbine: A Microservice Approach to Three Billion Game Requests a Day

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Turbine: A Microservice Approach to Three Billion Game Requests a Day

Using technologies like Docker, Amazon EC2, Elastic Load Balancing, Amazon ElastiCache, Apache Kafka, MongoDB, and a microservices approach, Turbine handles 3 billion game requests a day.

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Turbine Games had 3 billion game requests a day.  A microservices approach on AWS led them to salvation.  Hear all about it in this re:Invent session. 


Video Description:

"Turbine shares lessons learned from their new microservice game platform, which used Docker, Amazon EC2, Elastic Load Balancing, and Amazon ElastiCache to scale up as the game exceeded expectations. Learn about their Docker-based microservices architecture and how they integrated it with a legacy multiplatform game-traffic stack. Turbine shares how they gracefully degraded their services rather than going down and how they dealt with unpredictable client behavior. Hear how they resharded their live MongoDB clusters while the game was running. Finally, learn how they broke their game-event traffic into a separate Kafka-based analytics system, which handled the ingestion of over two billion events a day."

Using Containers? Read our Kubernetes Comparison eBook to learn the positives and negatives of Kubernetes, Mesos, Docker Swarm and EC2 Container Services.

Topics:
Docker ,ec2 ,aws ,elasticache ,amazon elb ,microservices ,mongodb ,kafka

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