As your application scales, becomes distributed, and starts to scale horizontally, keeping sessions, caches, and rate limits consistent across services becomes increasingly difficult.
You need a unified real-time data layer so every API, service, and device shares a single, authoritative view of user state and controls. In this session, we’ll walk through reference architectures you can reuse to handle traffic spikes predictably, prevent stale data without sacrificing speed, and power the low-latency context layer modern AI-driven workloads need.
You will learn how to use Redis to design:
Centralized session management that keeps user sessions consistent and accessible across any service or replica of your system
Consistent rate limiting across every service or replica of your system to avoid gaps, double counting, or uneven enforcement.
A caching layer that stays consistent across every service or replica of your system, reducing stale reads while keeping latency low
We will walk through practical architectures and patterns you can apply to handle traffic spikes, improve performance, and simplify your system design.
Speakers
Redis
Raphael De Lio
Developer Advocate
RSVP
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