About

AI apps are exposed to more public traffic than ever, opening them up to overuse, abuse, and malicious attacks. From excessive API calls to expensive LLM requests, unchecked traffic can drive up costs, hurt user experience, and threaten service availability.

Redis rate limiting gives you control over traffic to keep your AI apps secure, efficient, and cost-effective. It tracks usage, enforces quotas, and blocks abuse in real time, letting developers scale their AI apps with confidence.

In 15-minutes see how Redis simplifies rate limiting for AI workloads.

Key topics

1. Why rate limiting is essential for high-demand, mission-critical apps
2. How Redis prevents API abuse and manages LLM call quotas effectively
3. Real-world monitoring techniques to analyze and optimize traffic patterns