The Betting and Gaming industry operates in one of the most heavily regulated environments in technology. Gaming operators and suppliers must demonstrate compliance with rigorous technical standards, many of which reference standards published by Gaming Laboratories International (GLI). The most widely referenced GLI standards for this industry are GLI-19 (Interactive Gaming Systems) and GLI-33 (Event Wagering Systems), establishing technical benchmarks for platform security, data integrity, player protection, and operational transparency.

In Part 1 of this series, we described how AWS security best practices, using the AWS Security Improvement Program (SIP) and the Security pillar of the AWS Well-Architected Framework, can help Betting and Gaming operators strengthen foundational cloud security, covering information security, identity and access management, audit and logging, network security, and multi-account strategy. Part 2 turns to gaming-specific controls and resilience: geolocation, random number generation, responsible gaming and anti-fraud, change management, and disaster recovery.

Groups Conversations All groups and messages Sign in Machine Learning, Deep Learning and AI Conversations About Privacy • Terms     Level up your AI-powered game backend with Amazon DynamoDB new features 0 views Skip to first unread message Eyal Estrin unread, 7:40 AM (22 minutes ago)    to https://aws.amazon.com/blogs/gametech/level-up-your-ai-powered-game-backend-with-amazon-dynamodb-new-features/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

The most difficult engineering problem when employing AI for gaming isn’t selecting the correct model—it’s selecting the infrastructure that supports the functionality needed to create compelling user experiences. A generative non-player character (NPC) that forgets every conversation, an AI dungeon master that loses narrative context mid-quest, or an agentic loop that drops state across an AWS Lambda cold start all produce sub-par experiences for the same reason: no durable, globally consistent state storage layer.

You can respect the honesty, at least.

Throaty Mumbo turned frustration with the Action Max into a new VHS game console experiment featuring Mario-style backgrounds and an on-rails Doom demo.

YouTube video by Digital Foundry

In this post, we compare four AWS storage options for P4 depot volumes: Amazon Elastic Block Store (Amazon EBS), Amazon FSx for NetApp ONTAP, Amazon Elastic File System (Amazon EFS), and Amazon Simple Storage Service (Amazon S3) archive depots. We evaluate each against real-world game development workloads and provide a decision framework to help you choose.

Over 230 million Americans identify as gamers. Yet most will never buy a $500 console or a $1,500 PC, not because they don’t want to play, but because the cost of entry keeps climbing: hundreds (sometimes thousands) in hardware, hundreds of gigabytes in downloads, and frustrating maintenance just to keep things running.