How We Scaled Apache Pulsar on Kubernetes for WeChat’s Billion‑User Real‑Time Recommendations
This article details the WeChat engineering team’s practical experience deploying and optimizing Apache Pulsar on Kubernetes for massive real‑time recommendation workloads, covering cloud‑native advantages, non‑persistent topics, load‑balancing tweaks, broker cache improvements, COS offloader development, and future roadmap.
