DynamoDB System Design: Scale Smart & Save Costs

Whether you're planning a migration to DynamoDB or optimizing an existing workload, this session will help you build a system that's scalable, cost-effective, and production-ready.

With over 9 years of backend experience — including leading Dream11’s migration from Aerospike to DynamoDB (powering 30M+ concurrent users, reducing infrastructure cost by 75%) — I’ll guide you through data modeling, performance tuning, and operational best practices tailored to your use case.

What We’ll Cover (based on your needs):

• Should you adopt DynamoDB? Evaluate trade-offs, risks, and alternatives
• Data modeling aligned with real access patterns
• Cost optimization: managing GSIs, TTLs, partition keys, and throughput
• Scaling for concurrency: designing for high-read/write, multi-tenant traffic
• Performance tuning: latency reduction, caching strategies, hot key mitigation
• Migration strategy: phased rollout, data sync, operational readiness
• Avoiding pitfalls: common anti-patterns and what to watch for in production

Who It's For:

• Backend engineers architecting new services
• Teams migrating from RDBMS, Mongo, or other NoSQL stores
• Early-stage startups scaling rapidly and watching infra spend
• Technical leaders responsible for system reliability and cost