You’ve probably used Valkey (or its predecessor) as a cache, however, hiding below the surface is a messaging powerhouse built for both scale, low latency, and high throughput. In this session, you’ll learn about Valkey, a Linux Foundation back, high-speed, Key-Value datastore, provides both fundamental primitives and complete solutions for a variety of messaging use cases.
Talk objectives: Attendees will learn about:
- Valkey, it’s history as a fork of Redis OSS, and where it’s evolving
- Why and how of in-memory messaging
- What capabilities baked capabilities in for messaging (each with examples)
- Fire and forget pubsub
- Lists as Queues
- Sorted Sets as priority queues
- Kafka-like streams
- The projects which can use Valkey as a backing storage engine, including:
- BullMQ
- Celery
- Sidekiq
- KEDA
- What performance they can expect out of Valkey
- How to get involved with Valkey
Target Audience:
- This session targets folks interested performance in messaging as well as those looking to build lighter weight systems.