AmoxTech: AI-Driven Online Gaming Platform Migration to AWS
Executive Summary
AmoxTech, a next-generation online gaming company specializing in casino entertainment and sports betting, undertook a comprehensive migration from Google Cloud Platform to AWS to build an AI-first, serverless gaming platform. DG Global Technology architected a multi-account AWS environment featuring Amazon Bedrock for agentic AI workflows, Amazon Personalize for real-time player recommendations, Amazon Fraud Detector for automated transaction safeguarding, and Amazon ECS Fargate for containerized microservices. The transformation achieved 20% cost savings, zero-downtime migration, real-time AI-driven personalization for millions of players, and a fully automated security and compliance posture.
Customer Background
AmoxTech is a next-generation online gaming company specializing in immersive, data-driven casino entertainment experiences for a global audience. The company has built a diverse portfolio of casino games, sports betting products, and interactive gaming platforms that serve millions of players across Asia, Europe, and emerging markets. AmoxTech's business model revolves around data intelligence and player experience optimization, collecting and analyzing millions of data points daily to drive personalization, engagement, and responsible gaming.
Key Stats: Global online gaming platform, casino games & sports betting, millions of daily data points, AI-driven analytics framework, hosted on GCP (Compute Engine with GPU, Cloud Storage, self-managed databases)
Business Challenge
While AmoxTech's existing infrastructure on GCP provided a functional environment for AI and data analytics workloads, it faced growing limitations as the company expanded its AI initiatives. The setup lacked the agility, automation, and scalability required to support advanced large-scale AI model development and real-time gaming operations.
Key Challenges:
- Inefficient AI Infrastructure: AI workloads depended on manually configured GPU instances, leading to inefficient resource utilization, inconsistent performance, and higher operational costs
- Fragmented Data Pipelines: Data dispersed across different storage and database systems, creating fragmented pipelines that hindered real-time processing and model accuracy
- Limited Automation: Minimal automation and monitoring capabilities resulting in slower deployment cycles and longer time-to-market for new AI applications
- Manual Security Controls: Security and compliance controls largely manual and decentralized, making governance and traceability difficult as workloads increased
- No AI Lifecycle Management: No dedicated framework for model versioning, lifecycle tracking, or CI/CD automation, slowing AI model iteration and deployment
- Scalability Constraints: Performance bottlenecks and scalability limitations preventing rapid innovation and integration of next-generation GenAI capabilities
- High Operational Overhead: Manual infrastructure management and limited orchestration resulting in underutilized resources and increased OPEX
AWS Solution
DG Global Technology designed a serverless-first, AI-native architecture built around three guiding principles: modernization, intelligence, and security. The solution transforms AmoxTech from a traditionally hosted gaming provider into an agile, data-driven, and AI-empowered digital enterprise on AWS.
AWS Services Utilized
Amazon Bedrock
Central AI foundation hosting agentic models for behavior prediction, conversational intelligence, player support automation, and orchestrated multi-step AI workflows
Amazon ECS (Fargate)
Containerized game APIs, web portals, and backend services replacing VM-based compute with automatic scaling and zero server management
Amazon Personalize
Dynamic, context-aware recommendations based on player preferences, wagering patterns, and engagement history for real-time experience personalization
Amazon Fraud Detector
Automated financial transaction safeguarding, suspicious activity detection, and bonus abuse prevention working in parallel with Bedrock anomaly detection
Amazon Kinesis Data Streams
Real-time ingestion of gameplay events, transactions, and behavioral signals for streaming analytics and ML model training pipelines
AWS Lambda
Event-driven workloads and backend automation for near real-time response to data streams, player actions, and operational triggers
Architecture Highlights
- Online Agentic Path: Player → App Ingress → Chat Backend (ECS Fargate) → Bedrock Agent → Tools → Personalize → Response — enabling intelligent, context-aware player interactions
- Data & ML Pipeline: Gameplay Events → Kinesis → Stream Processing → DynamoDB/S3 → Personalize Training → Campaign Endpoint — continuously learning from player behavior
- Serverless-First Design: ECS Fargate and Lambda replacing VM-based compute, ensuring cost-efficiency and elastic scaling under fluctuating gaming demands
- Defense-in-Depth Security: AWS WAF, Firewall Manager, GuardDuty, Security Hub, IAM with least-privilege, and KMS encryption across all layers
- Legacy Integration: Transit Gateway connecting legacy VPCs (EC2, RDS) with new AI and analytics platform while preserving network isolation
Implementation Details
Timeline: 6 months (August 2025 - February 2026)
Team Size: DG Global Technology (Solution Architects, Security Specialists, Cloud Engineers, Project Manager) + AmoxTech technical staff
Migration Strategy: Rehost (legacy servers to EC2), Replatform (APIs to ECS Fargate, databases to Aurora), Refactor (fraud detection & personalization to serverless + AI), Relocate (GKE containers to ECS)
Key Implementation Phases
- Discovery & Application Assessment: Identified AI workloads, applications, and databases; analyzed performance bottlenecks; assessed dependencies, security, and compliance requirements
- Migration Plan: Defined migration strategy per workload (7Rs framework), established wave groups, cost estimates, and rollback procedures
- Landing Zone & Security: Configured multi-account Landing Zone with IAM, GuardDuty, Security Hub, WAF, Transit Gateway, and centralized logging with CloudTrail and CloudWatch
- Operating Model: Established cloud operations SOPs, monitoring dashboards, backup setup, and automation for AI/ML pipelines and CI/CD workflows
- Pilot Migration: Migrated pilot workloads including RDS, Auto Scaling Groups, and AI inference endpoints with performance benchmarking and Well-Architected Review
- Knowledge Transfer: Conducted AWS 101 training, operational handover for Auto Scaling and Transit Gateway, and delivered pilot documentation to AmoxTech teams
Results and Benefits
100%
Zero-Downtime Migration
Real-Time
AI Personalization
6 months
Full Transformation
Quantifiable Results
- Cost Optimization: 20% reduction in infrastructure costs through serverless architecture (ECS Fargate, Lambda), auto-scaling, and optimized AWS pricing models
- Zero-Downtime Migration: Seamless transition from GCP to AWS with phased migration strategy, continuous replication, and rollback capabilities
- AI-Driven Personalization: Real-time player recommendations via Amazon Personalize, dynamically adapting to wagering patterns and engagement history
- Automated Fraud Detection: Amazon Fraud Detector and Bedrock anomaly models replacing manual reviews, reducing financial losses and compliance risk
- Serverless Efficiency: Eliminated infrastructure provisioning overhead by containerizing applications to ECS Fargate and event-driven workloads to Lambda
- Operational Automation: Centralized monitoring, automated compliance enforcement, and proactive threat detection across all accounts
Business Impact
- Player Experience: Agentic AI workflows enabling intelligent, personalized player interactions with real-time recommendations and automated support
- Revenue Growth: Increased cross-sell and upsell opportunities through behavior-based AI recommendations extending player lifetime value
- Faster Innovation: Reduced time-to-market for new AI applications with automated CI/CD pipelines and model lifecycle management on AWS
- Global Scalability: Multi-region AWS infrastructure enabling low-latency deployment closer to players in Asia, Europe, and emerging markets
- Responsible Gaming: AI-driven responsible gambling alerts and proactive risk detection integrated into the agentic support framework
- Competitive Advantage: Transformed from a reactive, infrastructure-driven organization into a proactive, AI-first enterprise with continuous learning capabilities
DG Global Technology didn't just migrate our infrastructure — they fundamentally transformed how we operate as a gaming company. The agentic AI architecture on Amazon Bedrock has given us capabilities we couldn't have imagined on our previous platform. Our player support now runs through intelligent AI agents that understand context and personalize every interaction. Amazon Personalize delivers dynamic recommendations that have meaningfully increased player engagement, while automated fraud detection has replaced weeks of manual review work. The serverless-first approach means we no longer worry about scaling during peak gaming events. This is exactly the AI-first platform we needed to compete globally.
— Ann Lee, Chief Technology Officer, AmoxTech
About DG Global Technology
DG Global Technology is an AWS Advanced Consulting Partner and Managed Service Partner specializing in enterprise cloud transformation across ASEAN markets. With 50+ AWS certifications and 5+ years of partnership experience, we deliver comprehensive managed services including 24/7 monitoring, proactive optimization, security management, and cost governance.