Distributed Cache · In-Memory Store
Developed the distributed caching layer for a high-traffic e-commerce platform. Built using custom protocol over TCP with consistent hashing and automatic failover. Handles 1M+ operations/second with sub-millisecond latency across 50+ nodes.
Case study
Distributed Cache · In-Memory Store
Developed the distributed caching layer for a high-traffic e-commerce platform. Built using custom protocol over TCP with consistent hashing and automatic failover. Handles 1M+ operations/second with sub-millisecond latency across 50+ nodes.
Developed the distributed caching layer component for a high-traffic e-commerce platform as part of a 3-person team. Built in Rust using custom protocol over TCP with consistent hashing and automatic failover. Handles 1M+ operations/second with sub-millisecond latency across 50+ nodes.
Key results
Sustained throughput
Rust developers
Average response time
Stack
Timeline
Week 1–2
Protocol design and architecture planning
Week 3–8
Core caching engine, consistent hashing, failover logic
Week 9–10
Load testing, performance tuning, and production deployment
Project Details
Technical implementation and architecture overview
Consistent hashing
Implemented consistent hashing algorithm for distributed key placement with automatic node addition and removal.
Automatic failover
Built failover mechanisms that automatically redirect traffic when nodes become unavailable, maintaining service availability.
FAQs
What do you build? +
Web3, AI, Systems, Web. End-to-end. One person. From idea to deployed.
Do you do consultancy? +
Yes. Architecture, stack selection, code reviews. Hourly or contract. Get unstuck fast.
How fast can you deliver? +
Fast. I focus on going live. Less bureaucracy, more shipping. Let's discuss timeline.
One person for everything? +
Yes. Frontend, backend, infrastructure, deployment. Complete systems. End-to-end.