Architecture & Engineering Standards

High-Availability EnterpriseCloud-Native Architecture

Built on Domain-Driven Design (DDD) for service decoupling, providing end-to-end engineering excellence across development, automated testing, and resilient deployments.

4-Tier Technical Blueprint& Architecture Stack

Layered decoupling to eliminate single points of failure and data silos, powering high-throughput operations with sub-millisecond latency.

L4 · Unified Ingress & Agent Layer

Applications & AI Agents Unified Ingress Portal

Cross-Platform · Sub-second UX

Multi-platform interactive touchpoints for employees, customers, and partners with sub-second responsive performance.

Enterprise AI Agents
Natural language task-driven automated execution
Business Copilots
Embedded across HR, customer support, and BI analytics
Enterprise Web / SaaS
Modern responsive management dashboards and hubs
WeChat Ecosystem Apps
Seamless integration with Mini Programs and WeCom
Cross-Platform Mobile Apps
Native-feel iOS and Android mobile experiences
L3 · Microservices & Capability Hub

Domain Microservices & Business Sharing Hub

10M+ Concurrency · Sub-ms Routing

Domain-Driven Design (DDD) decoupling for high-concurrency traffic routing, authentication, and distributed transaction isolation.

Unified API Gateway
Dynamic routing, rate limiting, circuit breaker, and auth
Shared Capability Center
Unified User, Auth, Order, and Notification centers
Async Event Bus
High-throughput decoupled messaging via Kafka / RocketMQ
Proprietary Real-Time Protocol
Low-latency WebSocket & WebRTC signaling interaction
Distributed Transaction Engine
Cross-database ACID data consistency under high concurrency
L2 · Hybrid Data & Vector Infrastructure

Hybrid Data Base & Vector Intelligence Hub

Billion Vectors · 10ms Search

Supporting enterprise hybrid RAG retrieval, millions of IoT sensor time-series writes, and ACID transactional consistency.

Milvus / Pgvector DB
Billion-scale high-dimensional vector search with HNSW
Redis Cluster Cache
In-memory caching, distributed locks, and session sharing
PostgreSQL / MySQL Cluster
Read-write split clusters for core relational business data
Elasticsearch Cluster
Full-text tokenization and complex multi-facet querying
IoT Time-Series DB
High-frequency telemetry ingestion and real-time rollups
L1 · Cloud-Native Infrastructure & Security

Cloud Infrastructure & Zero-Trust Security

99.99% SLA · Auto Self-Healing

Elastic container orchestration, automated continuous delivery, 24/7 security auditing, and self-healing resilience.

Kubernetes Container Cloud
Multi-node auto-scaling, load balancing, and self-healing pods
End-to-End CI/CD Pipeline
Commit ➔ Image Build ➔ Automated Test ➔ Blue-Green Deploy
ELK Distributed Logging
Centralized log aggregation, visual tracing, and alerts
Prometheus + Grafana
Full-stack infrastructure and application telemetry
Zero-Trust Network Security
Private VPCs, mTLS encryption, WAF, and audit logs

Four Core Engineering Principlesfor Resilient Infrastructure

01
Component Reusability

Building shared business hubs to eliminate data silos and maximize component reuse across products.

02
Long-Term Decoupling

Physical microservice isolation without single points of failure, enabling seamless hot updates.

03
Automated Delivery

End-to-end automation from code checkout to deployment, ensuring lightning-fast iteration cycles.

04
Zero-Trust Compliance

Strict adherence to data privacy and security auditing standards with complete air-gapped on-premise support.

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