Client Success Stories
Real-world examples of how we help organizations across Southeast Asia modernize their infrastructure, improve operations, and achieve business outcomes on AWS.
Cloud Migration for Regional Fintech
Migrated core banking platform from on-premises data center to AWS with zero downtime, achieving MAS TRM compliance.
Legacy infrastructure limiting scalability and increasing operational costs. Needed to meet regulatory requirements while modernizing.
Phased migration using AWS DMS for database migration, containerized microservices on EKS, and implemented comprehensive security controls.
- 40% reduction in infrastructure costs
- 99.99% availability achieved
- Full MAS TRM compliance
- 3x improvement in deployment frequency
Healthcare Data Platform Implementation
Built a HIPAA-compliant data lake enabling advanced analytics and research collaboration across multiple facilities.
Siloed data across multiple hospitals preventing insights and research collaboration. Strict compliance requirements for patient data.
AWS Lake Formation-based architecture with granular access controls, de-identification pipelines, and secure research enclaves.
- Unified view of 2M+ patient records
- HIPAA compliance maintained
- Research time reduced by 60%
- Real-time operational dashboards
E-commerce Platform Modernization
Re-architected e-commerce platform to handle 10x traffic spikes during promotional events without performance degradation.
Platform crashes during peak sales events causing revenue loss. Monolithic architecture limiting agility and scaling options.
Microservices architecture on ECS Fargate with auto-scaling, CloudFront CDN, and Aurora Serverless for variable workloads.
- Zero downtime during peak events
- 65% cost reduction vs over-provisioning
- Sub-100ms page load times
- Weekly releases vs quarterly
Smart Factory IoT Implementation
Deployed edge-to-cloud IoT platform for real-time equipment monitoring and predictive maintenance across 3 facilities.
Unplanned equipment downtime causing production delays. No visibility into equipment health or operational efficiency.
AWS IoT Greengrass at edge, Kinesis for streaming data, SageMaker for ML-based anomaly detection, and QuickSight for visualization.
- 30% reduction in unplanned downtime
- Real-time visibility across 500+ machines
- Predictive maintenance accuracy: 85%
- ROI achieved in 14 months
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