Amazon ElastiCache Weekly — 2026-05, Week 20

Editor’s Note

This week’s coverage centers on a concrete production case study in caching client architecture, specifically how routing strategy and request batching interact with multi-AZ deployments to produce meaningful cost and latency outcomes. For teams running Redis-compatible workloads on ElastiCache, the HotelTrader migration offers a detailed reference point worth examining.

Top Stories

AZ-Affinity Reads in Valkey GLIDE Yield Substantial Cost and Latency Reductions at HotelTrader

HotelTrader migrated from the Redis Lettuce client to Valkey GLIDE on Amazon ElastiCache and measured a 95% reduction in inter-availability zone data transfer costs alongside a 49% improvement in average read latency. The primary mechanism was GLIDE’s AZ-affinity read strategy, which routes replica reads to nodes residing in the same availability zone as the application instance, eliminating cross-AZ round trips that are both slower and billable. The team supplemented this with request batching to improve throughput efficiency, and validated results through a 15-day A/B testing rollout that required no downtime. For architects evaluating ElastiCache cluster configurations in multi-AZ environments, this case illustrates that client-side routing decisions can have a more pronounced effect on operational costs than infrastructure topology changes alone — read more.