How Eden scales secure infrastructure and prepares for AI with Redis

Challenge

Eden wanted to simplify infrastructure for teams working in regulated industries without compromising speed, scalability, or developer control. They needed a low-latency backend that could serve real-time production workloads across both cloud and on-prem environments. To make AI more usable and secure for customers, they also needed a system capable of supporting intelligent workflows like semantic caching, structured inference, and vector-based retrieval without rearchitecting core systems.

Solution

Eden chose Redis for its unmatched combination of performance, flexibility, and AI readiness. Redis Cloud keeps Eden’s production stack running fast, with real-time caching that cuts down on latency and reduces user-perceived overhead. Redis supports local development and testing environments. Next up, Eden plans to add Redis vector database to their AI gateway. This will let them cache semantic data, improve RAG pipelines, and generate results more cost-effectively using layers of retrieval and small local models.

Redis also plays a key role in Eden’s approach to AI alignment and governance. It stores and enforces schema-based context, manages access control through IAM policies, and supports filtered API-level inference that prevents hallucinated or unsafe queries. With Redis as a core component, Eden is building fast, intelligent, and secure infrastructure that evolves with customer needs and the rapid pace of AI development.

What made Redis the right fit

• Real-time performance: Redis caching powers low-latency infrastructure for responsive, real-time apps.
• AI gateway support: Redis handles context storage, semantic caching, and future RAG workflows for AI-based querying.
• Hybrid scalability: Redis supports deployments across cloud and on-prem environments, aligning with Eden’s infrastructure model
• Developer efficiency: Redis’ familiarity reduces onboarding time and simplifies implementation for internal and customer teams.

Eden uses Redis across a multi-layer caching architecture that includes exact-match caching, semantic search with Redis vector database, and permission-aware access control. Redis enables fast retrieval, secure data flow, and intelligent orchestration inside Eden’s AI gateway.

Redis in action

• Redis Cloud: Used in production on AWS to power real-time caching for Eden’s infrastructure and reduce LLM call frequency through intelligent caching layers.
• Redis vector database: Supports AI features such as semantic search, vector-based retrieval, and context-aware RAG pipelines.
• Hybrid-ready architecture: Centralized on AWS but deployable across other cloud providers or on-prem environments to match customer infrastructure needs.

Next steps

Eden plans to integrate Redis vector database into their AI gateway to run advanced RAG features, semantic caching, and vector-based inference at scale. As their platform grows, Redis will still be fast and flexible enough to support structured AI queries, smart orchestration, and secure data interaction across hybrid customer environments.