Profile Edge Cache: 89% Savings for Real-time Marketing | Real-time Data Summit 2024
Anuj Jain, Senior Engineering Manager, Adobe Systems, discusses Profile Cash and its importance in Adobe's real-time Customer Data Platform (CDP). Try Aerospike Cloud for free: https://auth.control.aerospike.cloud/...
In this technical session, Anuj Jain from Adobe Systems shares how his team architected a cutting-edge, cost-efficient solution for real-time marketing personalization using a tiered Aerospike deployment.
🚀 Learn how Adobe’s Real-Time Customer Data Platform (CDP) processes billions of profiles and leverages AI/ML-driven segmentation for personalized user experiences across web and mobile platforms. Anuj dives deep into how Adobe reduced infrastructure costs by 89%, while maintaining strict sub-10ms latency requirements, scaling to over 45 billion profiles, and ensuring profiles stay fresh and always available.
🔍 Key Topics Covered:
Overview of Adobe’s Real-Time CDP and its architecture
The challenges of delivering personalized experiences with high throughput and low latency
Using Aerospike at the edge for rapid profile lookup and segmentation
Implementing a two-tier caching system (L1 in-memory + L2 SSD-backed)
Strategies to maintain profile freshness with specialized algorithms
Achieving massive cost savings and performance gains
Real-world metrics: Reads/writes per day, P99 latency, miss rate improvements
This session is a must-watch for engineers, architects, and product leaders working on high-scale, low-latency data systems in AdTech, MarTech, or personalization platforms.
🛠 Tech Stack Highlighted:
Aerospike
Kubernetes
AWS Graviton
Karpenter
Adobe Edge Network
📊 Results:
✅ 89% reduction in infrastructure costs
✅ Reduced profile lookup latency below 8ms
✅ Increased edge cache hit rates
✅ Future-ready architecture for 70B+ profiles and 5M+ reads/day
Whether you're optimizing customer experiences or building a global-scale data platform, this talk offers practical insights and proven architecture patterns that can be adapted across industries.
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