🏗️ Infrastructure & Architecture

Building Production eKYC Systems

This section covers the infrastructure, architecture, and engineering required to build and operate eKYC systems at scale — from cloud architecture and GPU management to security, data pipelines, and disaster recovery.

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Articles in This Section

System Architecture

#	Article	What You'll Learn
1	eKYC System Architecture	End-to-end architecture, microservices, data flow
2	Cloud Architecture for eKYC	AWS/GCP/Azure reference architectures
3	GPU Infrastructure	GPU selection, multi-GPU, cost optimization
4	Microservices vs Monolith	Architecture tradeoffs for eKYC

Data & Storage

#	Article	What You'll Learn
5	Data Pipeline Architecture	Ingestion, processing, storage, retention
6	Image & Video Storage	Object storage, encryption, retention policies
7	Vector Database for Face Search	FAISS, Milvus — 1:N face deduplication at scale

Security & Compliance

#	Article	What You'll Learn
8	Security Architecture	Encryption, access control, threat modeling
9	Data Encryption Strategy	At-rest, in-transit, key management
10	Audit Logging & Compliance	Immutable logs, regulatory audit trails

Reliability & Performance

#	Article	What You'll Learn
11	High Availability Architecture	Redundancy, failover, multi-region
12	Disaster Recovery	RPO, RTO, backup strategies
13	Performance Optimization	Latency reduction, throughput, caching
14	Load Testing eKYC	Simulating peak traffic, GPU saturation testing

Deployment & Operations

#	Article	What You'll Learn
15	CI/CD for eKYC	Deployment pipelines, canary, blue-green
16	On-Premise vs Cloud Deployment	When to deploy on-premise (regulation, data sovereignty)
17	Multi-Tenant Architecture	Serving multiple clients from shared infrastructure
18	Cost Optimization	GPU costs, storage costs, API costs