Introducing Dragonfly Swarm: Scaling In-Memory Data Without Limits

Why attend?

For over 15 years, Redis (and now its fork, Valkey) has been the backbone of in-memory workloads, with Redis Cluster mode serving as the default approach for horizontal scaling. But as applications continue to grow in scale and complexity, Redis Cluster has increasingly become a source of operational challenges, performance bottlenecks, and rising infrastructure costs. Managing a large Redis deployment often means navigating intricate shard balancing, excessive metadata overhead, and balance over-provisioning just to maintain stability.

Until now, there has been no viable alternative but we’re changing that with the launch of Dragonfly Swarm. Dragonfly Swarm is the first in-memory data solution that seamlessly scales both vertically and horizontally, delivering terabyte-scale in-memory data capabilities while maintaining the simplicity, efficiency, and raw performance that Dragonfly is known for.

Join us for this technical deep-dive into the architecture of Dragonfly Swarm to learn how it scales both vertically and horizontally across multiple nodes, delivering even greater performance and flexibility for the most demanding use cases.