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Gaming Analytics Pipeline on AWS

Given the dominance of the free to play model and in-app purchases offered in the gaming industry, games have become more of a service than a product. With this change, in-game analytics is critical to constantly engage and monetize users to stay competitive.

We help you to leverage the Gaming Analytics Pipeline solution out of-the-box, or as a reference implementation for building an application to ingest, store, and analyze gameplay telemetry. You will be able to analyze player experiences, advertising effectiveness, and game usage statistics in real-time to improve your user’s experience.

Amazon Web Services offers a comprehensive suite of analytics solutions to help you keep your players engaged and optimize your game to increase revenue. Amazon Kinesis, a platform for streaming data on AWS, offers powerful services that make it easier to analyze player experiences, advertising effectiveness, and game usage statistics in real-time to improve your user’s experience.

How we do it

Gaming Analytics Pipeline on AWS

Deliverables

We offer a solution that automatically launches and configures Amazon Kinesis Streams to ingest gameplay data, Amazon Kinesis Client Library (KCL) consumer applications running on AWS Elastic Beanstalk to process and filter that data, Amazon Simple Storage Service (Amazon S3) to store the data and act as a gateway to other AWS services, and Amazon Redshift to act as a queryable backend data store. The diagram below presents the Gaming Analytics Pipeline architecture.

Game servers transmit gameplay events to an Amazon Kinesis stream (called the telemetry stream) that collects and processes those events. An application validates, sanitizes, and enriches the events; archives the events as a batch telemetry file in Amazon S3; and sends a pointer to the location of the batch telemetry file to a separate Amazon Kinesis stream (called the file stream) that initiates the process of loading the data into Amazon Redshift.

A second application loads batches of events from Amazon S3, deletes duplicate events, and inserts events into tables in Redshift. A third application performs routine database tasks and maintenance. AWS Elastic Beanstalk is used to manage the deployment of the solution’s three applications.

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Want to improve your game analytics? We’ve got your back.

Our industry expert team of big data engineers are the time-conscious, cost-conscious, and customer-first solution to your game’s needs.