Case Studies
Real results from teams that trust Remangu with their AWS infrastructure.
Bullieverse
Multiplayer Gaming Infrastructure at Global Scale
Remangu built elastic, cost-optimized multiplayer infrastructure for Bullieverse's Necrodemic game, achieving 40% lower GPU costs and global low-latency gameplay through AWS GameLift, Terraform automation, and intelligent auto-scaling.
Upheal
24/7 Managed AWS Operations During Rapid Growth
Remangu provided Upheal with full 24/7 managed AWS operations, enabling the HealthTech startup to scale rapidly while maintaining SOC2 compliance readiness, tested disaster recovery, and 15-minute off-hours incident response.
Tech4Bet
AWS Multi-Region Expansion to Brazil
Remangu executed a multi-region AWS expansion into Brazil for Tech4Bet, achieving full data residency compliance, significantly lower latency for local users, and robust disaster recovery through multi-AZ deployments and Infrastructure as Code.
Kistler
DDoS Protection with CloudFront and AWS WAF
Remangu implemented robust DDoS protection for Kistler by deploying Amazon CloudFront and AWS WAF in front of existing infrastructure, achieving zero-downtime cutover while preserving end-to-end TLS encryption and integrating seamlessly with Amazon EKS clusters.
CloudMatrix
Managed AWS Operations for a High-Growth SaaS Platform
Remangu took over full 24/7 managed AWS operations for a rapidly scaling fintech SaaS company, reducing cloud spend by 28%, achieving SOC2 certification in 4 months, and delivering zero unplanned downtime over 8 months while freeing the engineering team to focus on product.
Nordiq Financial
AWS Landing Zone and Multi-Account Governance for Fintech
Remangu designed and deployed a comprehensive AWS landing zone with multi-account governance, centralized IAM, and compliance automation for a 500-person fintech, achieving PCI-DSS compliance and consolidating 18 unstructured accounts into 12 governed accounts.
Tensora AI
Managed GPU Infrastructure for AI Model Training
Remangu built and managed GPU cluster infrastructure on AWS for an AI startup training diffusion models and LLMs, achieving 45% GPU cost reduction, 99.2% training pipeline reliability, and reducing new job provisioning from days to 15 minutes.