4 articles found
When Redis goes down, your distributed circuit breaker faces a choice: fail open, fail closed, or something smarter. Here’s how to survive coordinator failure without cooking your dependency.
How Redis actually stores lists under the hood (linked list vs. ziplist vs. quicklist) and why this low-level choice breaks production systems when architects ignore it.
A deep dive into rate limiting algorithms and trade-offs for modern microservices environments, evaluating global consistency versus performance in high-throughput systems.
Architectural deep dive into ingesting real-time traffic data using Flink/Kafka pipelines and persisting low-latency states in Redis for sub-millisecond routing decisions.
