Optimize real-time ML inferencing with online feature stores
Machine learning's integration into business operations necessitates ultra-low latency feature stores for real-time decisions. This white paper examines how AWS customers use Amazon ElastiCache for Redis to create online feature stores for critical ML applications needing microsecond performance.
Key benefits include:
- Sub-millisecond latency for real-time inferencing
- Fully managed service for simplified operations
- High availability across Zones
- Scalable architecture with up to 310 TiB of in-memory data
- Robust security and compliance
The paper offers a reference architecture and guide for building a credit scoring application using ElastiCache.
Read the paper to learn more.
- Vendor:
- Amazon Web Services
- Posted:
- Mar 6, 2025
- Published:
- Mar 6, 2025
- Format:
- Type:
- Blog
