Designing a High-Throughput API Rate Limiter for Microservices
Complete system design walkthrough for building a distributed API Rate Limiter using Redis, Token Bucket algorithm, and sliding window logs.
Enterprise Cloud Architect
Marcus Thorne is an Enterprise Infrastructure & Cloud Architect with expertise in distributed microservices, Redis caching topologies, and rate limiting engines. He consults for enterprise SaaS firms across Canada and the UK.
Complete system design walkthrough for building a distributed API Rate Limiter using Redis, Token Bucket algorithm, and sliding window logs.
Architectural evaluation of Redis data structures vs Memcached multithreaded key-value caching in enterprise Canadian cloud deployments.
Learn how to manage distributed data consistency across microservices using Orchestration and Choreography Saga patterns.
Detailed comparison between RabbitMQ AMQP message queuing vs Apache Kafka distributed log streaming for high-throughput microservices.
End-to-end system design for building a scalable URL Shortener handling 100M daily active users using Base62 encoding, KGS, and distributed Redis caches.