Running and Optimizing Sidekiq Workloads with Dragonfly
Kostas, a software engineer at DragonflyDB, discusses the integration of Sidekiq with Dragonfly and the high-level optimizations implemented to significantly boost overall throughput. Scaling Sidekiq is challenging when paired with Redis due to its single-threaded nature and discouragement from using Redis Cluster for Sidekiq. To address these scaling challenges, Dragonfly, a modern, highly performant multi-threaded drop-in replacement for Redis, was optimized as a backend data store for Sidekiq. The benchmark results show a ~9.6x increase in throughput from the Dragonfly baseline and a ~3.5x boost compared to Redis.
Company
Dragonfly
Date published
Jan. 31, 2024
Author(s)
Kostas Kyrimis
Word count
2561
Hacker News points
None found.
Language
English