R4pid: iGaming Platform Migration from GCP to AWS with GenAI Integration
Executive Summary
R4pid, a fast-growing iGaming technology company, migrated its entire platform from Google Cloud Platform (GCP) to Amazon Web Services (AWS) to unlock generative AI capabilities, improve operational efficiency, and align with its enterprise partner ecosystem. DG Global Technology designed and executed a multi-account AWS architecture leveraging Amazon Bedrock (Claude Sonnet 3.5) for AI-driven customer support assistants, multilingual onboarding copilots, and automated fraud detection. The migration achieved a 40% reduction in L1 support tickets, 5-10% improvement in onboarding conversion, 99.99% uptime, and optimized cloud spend with full MAP 2.0 compliance.
Customer Background
R4pid is a fast-growing iGaming technology company focused on delivering engaging, secure, and scalable online gaming experiences to a global audience. Its platform supports multiple languages, high transaction volumes, and a wide range of customer engagement features, including onboarding, promotions, and fraud prevention. As the company expands into new markets, R4pid faces increasing demands around multilingual customer support, rapid content localization, and compliance-driven operations.
Key Stats: Global iGaming platform, multilingual support, high transaction volumes, hosted on GCP (Vertex AI, Compute Engine, Cloud SQL MySQL, Cloud Storage, Cloud CDN)
Business Challenge
R4pid's iGaming platform, hosted on Google Cloud Platform, had supported initial business growth but was now facing a series of operational and strategic limitations that hindered scalability, efficiency, and market alignment.
Key Challenges:
- Customer Experience Bottlenecks: High volumes of Level 1 (L1) support requests handled manually, while multilingual onboarding led to drop-offs due to inconsistent localization
- Operational Inefficiencies: Fraud and bonus-abuse reviews processed manually, slowing approvals and raising compliance risks with limited automation increasing OPEX
- Platform Limitations: Heavy reliance on Vertex AI with limited flexibility, cost transparency challenges, and fragmented governance across GCP projects
- Strategic Misalignment: Enterprise customers and partners predominantly on AWS, creating friction in integrations and slowing joint initiatives
- Cost Forecasting: GCP's cost model presented challenges in forecasting, particularly with Vertex AI usage, limiting budget predictability
- Global Expansion Gaps: Required access to AWS's broader infrastructure footprint, compliance frameworks, and partner ecosystem for new market entry
AWS Solution
DG Global Technology designed a secure and scalable multi-account AWS architecture aligned with the AWS Well-Architected Framework and MAP 2.0 best practices. The solution leverages Amazon Bedrock for generative AI services, Amazon EC2 for compute, and Amazon Aurora MySQL for data management, with accounts interconnected via AWS Transit Gateway.
AWS Services Utilized
Amazon Bedrock (Claude Sonnet 3.5)
GenAI-driven assistants and copilots for multilingual onboarding, promotion generation, content localization, and automated fraud detection workflows
Amazon EC2 (Graviton r8g)
Core gaming platform hosting across App, Bedrock Production, Bedrock Dev, and Security accounts with auto-scaling capabilities
Amazon Aurora MySQL
High-availability Multi-AZ relational database for player records, transaction logs, promotional campaigns, and fraud detection rules
Amazon S3
Application artifacts, logs, game content, AI model datasets, and localized promotional assets with lifecycle policies
Amazon CloudFront & Route 53
Global content distribution and DNS resolution for gaming and AI workloads across all regions
AWS Security Suite
GuardDuty, Security Hub, AWS Config, WAF, Firewall Manager, KMS, and CloudTrail for comprehensive security and compliance monitoring
Architecture Highlights
- Multi-Account Strategy: Four isolated AWS accounts (App, Bedrock Prod, Bedrock Dev, Security & Analytics) with centralized governance via SCPs and Transit Gateway
- GenAI Integration: Amazon Bedrock powering AI-driven assistants for L1 support automation, multilingual content copilots, and fraud/bonus-abuse detection
- Migration Tooling: AWS MGN for rehosting Compute Engine workloads to EC2, AWS DMS for migrating Cloud SQL to Aurora MySQL with minimal downtime
- MAP 2.0 Compliance: Full tagging strategy (Application, Environment, Workload, Cost Center, MAP Phase) enforced through AWS Config rules and SCPs
- Security by Design: Encryption via KMS, centralized logging, automated remediation of non-compliance, and threat detection with GuardDuty
Implementation Details
Timeline: 4 months (October 2025 - January 2026)
Team Size: DG Global Technology engineers (Solution Architects, Security Specialists, Cloud Engineers) + R4pid technical stakeholders
Migration Strategy: Rehost (Compute Engine to EC2 via MGN) + Replatform (Cloud SQL to Aurora MySQL via DMS, Vertex AI to Bedrock, Cloud Storage to S3, Cloud CDN to CloudFront)
Key Implementation Phases
- Discovery & Application Assessment: Conducted workshops with R4pid stakeholders, inventoried GCP workloads, mapped to AWS services, and defined MAP 2.0 tagging strategy
- Migration Plan: Defined sequencing of migration waves across App, Bedrock, and Security accounts with rollback and validation procedures
- Landing Zone Setup: Implemented multi-account Landing Zone with Control Tower best practices, Transit Gateway networking, and IAM governance
- Security & Compliance: Enabled GuardDuty, Security Hub, AWS Config, deployed Firewall Manager, and configured KMS encryption across all accounts
- Operating Model: Established operational dashboards in CloudWatch and trained R4pid operations team on AWS tools and runbooks
- Pilot Migration: Validated critical workloads including AI-driven support copilots, onboarding assistants, and fraud detection workflows with performance benchmarking
Results and Benefits
10%
Onboarding Conversion Lift
Quantifiable Results
- L1 Support Automation: 40% reduction in Level 1 support tickets through Amazon Bedrock-powered AI assistants handling multilingual customer queries
- Onboarding Improvement: 5-10% improvement in onboarding conversion rates through AI-driven multilingual localization and personalized onboarding flows
- Fraud Detection: Automated fraud and bonus-abuse reviews replacing manual processes, reducing compliance risk and accelerating approvals
- Infrastructure Reliability: 99.99% uptime achieved through Multi-AZ Aurora MySQL, auto-scaling EC2, and multi-account resilience
- Cost Optimization: Optimized AWS spend at ~$21K/month leveraging Savings Plans, right-sized Graviton instances, and S3 lifecycle policies
- Governance & Compliance: Fully automated compliance monitoring with MAP 2.0 tagging, Config rules, and centralized Security Hub visibility
Business Impact
- Partner Alignment: Eliminated cross-cloud friction with enterprise customers and partners operating on AWS, enabling faster joint initiatives
- GenAI Capabilities: Unlocked generative AI use cases including content copilots, promotion generation, and intelligent customer support previously unavailable on GCP
- Operational Efficiency: Reduced manual operational overhead through automation, centralized monitoring, and AI-driven workflows
- Global Scalability: AWS infrastructure footprint enabling expansion into new markets with compliance frameworks and regional availability
- Cost Predictability: Moved from unpredictable GCP/Vertex AI costs to transparent AWS pricing with Savings Plans and detailed cost allocation via tagging
DG Global Technology delivered a seamless migration from GCP to AWS that went far beyond a simple lift-and-shift. By integrating Amazon Bedrock into our platform, we've transformed how we engage with players — our AI-powered assistants now handle multilingual support in real time, and our fraud detection runs automatically instead of tying up our compliance team. The 40% reduction in L1 tickets alone has freed our team to focus on growth, and the multi-account architecture gives us the governance and security posture we need as we scale globally.
— Chief Technology Officer, R4pid
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.