We're looking for engineers and developers who are doing real things with Dragonfly — in production, at scale, or in experiments worth sharing. Dragonfly Ascent is about practical experience: what you built, what you learned, and what surprised you.

We want to hear from you. Here are some ideas to get you started:

Migration stories — How you moved from Redis, ElastiCache, Valkey, or Memcached to Dragonfly. What the process looked like, what broke, what didn't, and what you gained.

ML feature stores — Building or migrating a feature store on Dragonfly. Real-time feature serving, Feast integration, latency and cost wins.

Dragonfly at scale — Running Dragonfly in production under real load. Benchmarks, tuning, architecture decisions, lessons from failure.

AI and LLM workloads — Using Dragonfly for vector search, semantic caching, LLM inference caching, or as a multi-purpose backend for AI applications.

Real-time applications — Low-latency use cases like leaderboards, ad targeting, financial data infrastructure, or geospatial queries.

Data infrastructure — SSD data tiering, message queues with BullMQ, large-scale caching architecture, or replacing Redis clusters with a single Dragonfly instance.

Open source contributions — What you've built, fixed, or improved in the Dragonfly codebase — and why.

Sessions are pre-recorded and ~20–30 minutes. Speakers are encouraged to join live on September 16 for Q&A. The CFS closes July 15, 2026.

Speakers will receive special merch