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AWS Solutions Library

Overview

This Guidance demonstrates how to implement a comprehensive game analytics solution that empowers developers to make data-driven decisions throughout their game's lifecycle. By deploying a modular, serverless analytics pipeline, development teams can efficiently collect and analyze both real-time and batch telemetry data from game clients and backend services. Using AWS CDK or Terraform, teams can easily deploy and manage this cost-effective serverless architecture that scales with usage, making it ideal for everything from early playtesting to full production deployment. With multi-region deployment flexibility and an option for future integration with AI/ML, the pipeline enables teams to quickly transform raw gameplay data into actionable insights, helping create more engaging player experiences while optimizing development resources.

Benefits

Deploy a flexible, serverless analytics pipeline that processes game telemetry data in real-time or batch modes. Choose between Data Lake or Data Warehouse configurations to match your specific analysis needs.

Leverage fully managed AWS services that automatically handle infrastructure scaling for your game analytics workloads. Focus on deriving player insights while AWS manages the underlying complexity.

Choose deployment options that match your exact needs and automatically optimize resource usage. Pay only for the analytics capacity you use.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

Download the architecture diagram

Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

Go to sample code

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.