AmoxTech: AI-Driven Entertainment Platform Migration to AWS

Customer Background

AmoxTech is a next-generation entertainment company specializing in immersive, data-driven entertainment experiences for a global audience. The company has built a diverse portfolio of sports betting products and interactive entertainment 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 entertainment.

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 entertainment 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 entertainment provider into an agile, data-driven, and AI-empowered digital enterprise on AWS.

AWS Services Utilized

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 entertainment 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

Solution Architecture: Existing vs New

Implementation Details

Engagement Start Date: August 1, 2025
Engagement End Date (Migration Delivery): February 28, 2026
Managed Services: Ongoing AWS managed services under agreement following migration (6+ months minimum)
Project Status: In production (not pilot / proof of concept)

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

Partner Support Services: Pre & Post Migration

DG Global Technology supported AmoxTech across the full engagement lifecycle — from pre-migration discovery and planning, through migration execution, to ongoing AWS-based managed services delivered under agreement for a minimum of 6 months post-migration.

Pre-Migration Support Services

• Discovery Workshops & Inventory Validation: Detailed working sessions with AmoxTech's technical stakeholders to inventory, classify, and validate all workloads with the AWS Solutions Architecture team
• Migration Readiness & Wave Planning: Dependency mapping, wave sequencing, defined change windows, Go/No-Go criteria, and documented rollback procedures
• Landing Zone & Security Baseline Design: Multi-account architecture design, network segmentation, IAM governance model, and security controls mapping
• Cost Modeling & Validation: AWS Pricing Calculator estimates validated with the AWS team, including Savings Plans strategy and cost allocation tagging design
• AI Workload Assessment: Evaluated GPU-based AI workloads and designed the transition to managed AI services (Bedrock, Personalize, Fraud Detector)

Support During Migration

• Wave Execution & Cutover Coordination: Hands-on migration execution within defined change windows, with rehearsed cutover runbooks and rollback paths on standby
• Data Migration & Integrity Validation: Database and object storage migration with row-level data validation and reconciliation before each cutover
• Performance Benchmarking & UAT: Validated workload performance against the pre-migration baseline and coordinated user acceptance testing with AmoxTech's team
• Zero-Downtime Cutover: Phased containerization to ECS Fargate with parallel-run validation achieving 100% zero-downtime migration
• Knowledge Transfer: Runbook development, operational documentation, and AWS onboarding sessions for AmoxTech's engineering and operations teams

Post-Migration Managed Services (Ongoing — 6+ Months Under Agreement)

Since the February 2026 completion of the transformation, DG Global Technology has delivered AWS-based managed services to AmoxTech under a managed services agreement, including:

• 24/7 Monitoring & Incident Response: Round-the-clock CloudWatch-based monitoring, alerting, and incident management with defined SLAs
• Security Management: Continuous security posture management, patching, vulnerability remediation, and security event triage
• Cost Optimization & Governance: Monthly cost reviews, Savings Plans coverage management, right-sizing recommendations, and per-account cost reporting
• Backup & Disaster Recovery: Backup lifecycle management, recovery testing, and Multi-AZ failover validation
• Continuous Improvement: Quarterly AWS Well-Architected reviews and proactive optimization aligned with AmoxTech's product roadmap

Results and Benefits

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 Entertainment: 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

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.