UranPlus
Architecture & Engineering Standards

High-Availability Enterprise
Cloud-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

Evaluate application, service, data and infrastructure options from global ecosystems, selecting a combination for workload, licensing and deployment boundaries

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
Evaluate OpenAI Agents SDK / LangGraph / Google ADK with MCP tools and A2A interoperability
Business Copilots
Evaluate GPT-6 Astra / GPT-6.1 Sol, Claude Opus 5.5, Gemini 4 Argon and private models for each task
Enterprise Web / SaaS
Responsive applications with React 19.3 / Next.js 16.4, Angular 22, Vue and Astro
WeChat Ecosystem Apps
Seamless integration with Mini Programs and WeCom
Cross-Platform Mobile Apps
Choose Swift / Kotlin native apps or React Native / Flutter according to platform needs
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

AI-Enabled API Gateway
Multi-model routing, budgets, auth, circuit breakers and audit, evaluating gateways such as Envoy / Kong
Shared Capability Center
Java 25 LTS / Spring Boot 4.1 and Go 1.27 service options aligned with domain boundaries and team maintainability
Async Event Bus
Apache Kafka 4.3 event streaming, selecting messaging infrastructure for delivery semantics and operational needs
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

Qdrant / pgvector / Milvus Retrieval
Dense / sparse hybrid retrieval, metadata filtering and reranking evaluated against domain corpora
Redis Cluster Cache
In-memory caching, distributed locks, and session sharing
PostgreSQL 18 / 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 1.37 Platform
Evaluate AWS EKS / Azure AKS / Google GKE or self-managed clusters for location and isolation requirements
Argo CD / OpenTofu Delivery
GitHub Actions / GitLab CI checks, OpenTofu / Terraform infrastructure as code and GitOps deployment
OpenTelemetry Instrumentation
Vendor-neutral collection of traces, metrics and logs for selected observability backends
Prometheus + Grafana
Full-stack infrastructure and application telemetry
Zero-Trust Network Security
Private VPCs, mTLS encryption, WAF, and audit logs

Four Core Engineering Principles
for 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

Technology ecosystem

The tools behind the architectureSelected for the work, connected by design

Explore our technology options across models, applications, data and infrastructure; the final stack depends on project requirements and deployment boundaries

53 technologies · 9 categories

Showing 53 technologies

Frontier & open models

Select cloud APIs and open weights for each data boundary

Agents & open protocols

Connect models, tools and traceable business workflows

Retrieval & inference

From enterprise knowledge to grounded answers

Web & frontend

From enterprise workspaces to content and interactive experiences

Backend & realtime

Reliable services organized around business domains

Mobile & cross-platform

Choose implementations for platform experience and delivery needs

Data & event streams

Transactions, caching, search and asynchronous decoupling

Cloud-native & delivery

Open standards for infrastructure and release workflows

Observability & operations

From runtime signals to traceable diagnosis

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