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Managed the API platform and backend services for game titles at a global gaming leader's Singapore office. Led a team of 8 engineers building high-throughput APIs handling millions of requests for multiplayer games. The platform supported the successful launch of 3 AAA game titles, reduced latency by 65%, achieved 99.99% uptime during peak events, and scaled to handle 50M+ daily requests.

The gaming backend was facing critical performance and scalability issues:

• 40% latency spikes during peak hours: Players experienced lag during evening hours and weekends
• Inability to handle 10M+ daily requests: System was hitting capacity limits with millions of active players
• Frequent outages affecting millions: Downtime during game launches caused player frustration and revenue loss
• Legacy monolithic architecture: Single point of failure made the entire system vulnerable
• No auto-scaling: Manual capacity planning couldn't keep up with unpredictable game launch traffic
• Global latency issues: Players in different regions experienced inconsistent performance

The business was at risk of losing players to competitors with more reliable infrastructure, and upcoming AAA game launches required a complete platform overhaul to handle expected 5x traffic increases.

Led team of 8 engineers to completely redesign the API platform using Node.js, Redis caching, and AWS infrastructure. Implemented modern architectural patterns and DevOps practices:

• Auto-scaling infrastructure based on traffic patterns: AWS Auto Scaling Groups with predictive scaling
• Redis caching for frequently accessed data: Reduced database load by 70% with multi-tier caching
• Circuit breakers to prevent cascading failures: Hystrix patterns for fault tolerance
• Real-time monitoring and alerting: CloudWatch, Datadog, and custom metrics dashboards
• Microservices architecture for better isolation: Split monolith into 12 independent services
• Load testing and capacity planning: K6 and Artillery for stress testing before launches
• Global CDN deployment: CloudFront for reduced latency across regions
• Database sharding: Horizontal scaling for player data and game state

The migration was executed over 24 months with zero downtime, using blue-green deployments and extensive testing. The new architecture could handle 10x the previous load with 50% of the infrastructure cost.

The platform was rearchitected with the following key components:

• API Gateway Layer: AWS API Gateway with custom domain and SSL termination
• Application Layer: Node.js services running on AWS ECS with Fargate
• Caching Layer: Redis Cluster with read replicas for high availability
• Database Layer: PostgreSQL with read replicas and connection pooling
• Message Queue: SQS for asynchronous processing of game events
• Real-time Services: WebSocket servers for multiplayer game coordination
• CDN: CloudFront with regional edge locations for static assets

Each service was containerized and deployed using CI/CD pipelines with automated testing. Implemented canary deployments for gradual rollouts and instant rollback capability.

Supported the successful launch of 3 AAA game titles with comprehensive launch preparation:

• Pre-launch load testing: Simulated 10x expected traffic with realistic player behavior
• Capacity planning: Provisioned infrastructure based on pre-order numbers and marketing forecasts
• War room setup: 24/7 monitoring during launch week with dedicated on-call rotation
• Incident response playbooks: Documented procedures for common launch issues
• Gradual rollout: Staged launches by region to validate performance at scale

All three launches completed without major incidents, with the platform handling peak loads of 50M+ daily requests and 500K+ concurrent players.

The transformation delivered exceptional outcomes for both players and the business:

• Reduced latency by 65%: Average API response time from 200ms to 70ms
• Achieved 99.99% uptime during peak events: Near-perfect reliability during game launches
• Scaled to handle 50M+ daily requests: 5x increase in capacity
• Supported successful launch of 3 AAA game titles: Zero major incidents across all launches
• Reduced infrastructure costs by 40%: Auto-scaling eliminated over-provisioning
• Improved player retention by 15%: Better performance led to longer play sessions
• Reduced incident response time by 80%: Better monitoring and automated remediation

The platform became the standard for all gaming services across the organization. Other studios adopted the same architecture patterns, and the Singapore team became the center of excellence for backend engineering.

Backend:

• Node.js with TypeScript
• Express.js framework
• Socket.io for real-time communications
• Redis for caching and session management

Infrastructure:

• AWS ECS with Fargate
• AWS API Gateway
• AWS RDS PostgreSQL
• AWS ElastiCache Redis
• AWS CloudFront CDN

DevOps:

• Docker containerization
• Terraform for infrastructure as code
• GitHub Actions for CI/CD
• Prometheus and Grafana for monitoring

Capacity planning is an ongoing process: Static capacity planning failed to account for viral marketing and unexpected player behavior. We moved to predictive scaling based on real-time metrics.

Regional deployment matters: Players in different regions have vastly different network conditions. We implemented regional deployments with local caching to ensure consistent experiences.

Game launches are stress tests: Nothing tests infrastructure like a major game launch. We used launch data to continuously improve our architecture and operational procedures.

Observability is non-negotiable: Comprehensive monitoring and logging were essential for diagnosing issues during peak traffic. We invested heavily in custom dashboards and alerting.