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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#RealTimeMarketing #CustomerDataPlatform #Adobe