Distributed-Systems

An optimized distributed caching architecture designed to drastically reduce backend I/O and accelerate VCS operations; intelligently caching heavy objects and hashes with ultra-low latency.

A highly resilient architectural design for a Google-scale web crawler; heavily focusing on breadth-first search (BFS), extensive DNS resolution caching, and polite handling of malicious domains.

A high-resiliency architecture for extreme traffic bursts, utilizing virtual waiting rooms and atomic inventory management to ensure fair distribution under load.

A robust architectural design for a high-throughput, multi-channel notification service supporting push, email, and SMS; featuring strict prioritization queues, tiered rate limiting, and reliable delivery tracking.

A high-integrity architecture for global payment gateways and internal ledgers, emphasizing rigorous idempotency, eventual consistency, and deterministic recovery.

A secure platform design for advanced federated learning pipelines; training models directly across edge devices without sharing raw telemetry, utilizing secure local aggregation and robust privacy safeguards.

A real-time synchronization design for collaborative applications (e.g., Google Docs, Figma); utilizing WebSockets and Operational Transformation (OT) or CRDTs for consistent state resolution.

Design patterns for reliable microservice behavior under load; implementing strict request idempotency, non-blocking async I/O, robust circuit breakers, durable background queues, and observability.

A robust structural design for a highly available, extremely read-heavy service bridging short aliases to long URLs; implementing Base62 encoding, Snowflake IDs, and strict collision avoidance.

An inherently scalable video ingestion and transcoding system architecture; asynchronously chunking heavy media, extracting actionable features, and steadily outputting adaptive bitrates via worker pools.