Know Your Players, Grow Your Game: A Guide to Live Ops in the Cloud
summary
Argues that live ops is a continuous cycle of design, delivery and feedback and gives concrete tooling: an analytics pipeline built with CloudFormation feeding Redshift and Kinesis for real‑time insight, Amazon Neptune for item‑economy graphs, Amazon Personalize and NLP for recommendations and sentiment, and CloudFront CDN plus EC2 autoscaling for instant global delivery. Cites Behaviour Interactive using this stack at scale and Epic delivering Fortnite to ~200 million players, and recommends CI/CD with CodePipeline or Jenkins to push only changed artifacts for faster, cheaper updates.
AI-written summary · about
chapters (10)
- 0:00Start
- 1:02Marion Finnegan
- 7:42Reasons Why You Should Be Using Analytics for Games
- 8:42Fraud and Player Investigation
- 9:11Performance and Error Reporting Analytics
- 9:46Game Analytics Pipeline
- 15:51What Can Cicd Do for Your Game
- 18:02Amazon Cloudfront
- 18:48Benefits of Cloudfront
- 20:59Summary
related talks
27mDevOps in the Cloud
28mContinuous everything: Moving to DevOps on AWS
23mServerless Ops: What to Do / This is What We Do, When the Server Goes Away
31mDevOps in the Cloud: Case Studies of Amazon.com teams and their resilient architectures
31mDesign & Implementation: Automated LiveOps Backend
23mCI/CD at Scale: Best practices with AWS DevOps Services
36mMLOps from the edge to on demand visualization
15mDevOps at scale
