🏗️ Architecture Overview

Aevum Encyclopedia runs on a fully managed Azure-native stack designed for low-latency content delivery, massive read scalability, and secure multi-tenant data isolation. Our architecture follows the Azure Well-Architected Framework, emphasizing reliability, security, and cost optimization.

Client / Edge
Web, Mobile, SDKs
Azure Front Door
Global Load Balancer & WAF
API Gateway
Auth, Rate Limiting, Routing
AI/ML Pipeline
Azure OpenAI, Cognitive Search
Data Layer
Cosmos DB, Blob, Redis Cache

Core Azure Services

We leverage a curated set of Azure PaaS and SaaS services to maintain academic-grade performance while minimizing operational overhead.

🧠 Azure OpenAI

Fine-tuned LLMs for semantic search, citation verification, and multilingual content generation.

📊 Cosmos DB

Global-distributed NoSQL database handling 2.4M+ article entries with sub-10ms read latency.

🔍 Azure AI Search

Vector + keyword hybrid indexing enabling cross-lingual knowledge graph traversal.

📦 Azure Blob Storage

Immutable archival storage for historical revisions, media assets, and academic datasets.

🔄 Azure Functions

Event-driven serverless workers for real-time fact-checking and contributor workflow automation.

🛡️ Azure Key Vault

Centralized secret management, certificate rotation, and HSM-backed encryption keys.

📈 Performance & Scale

Our infrastructure is auto-scaled across 12 Azure regions with intelligent traffic routing and predictive caching strategies.

99.99%
Uptime SLA
<42ms
Global p95 Latency
1.2B
Monthly API Calls
850TB
Indexed Knowledge
Region Service Tier Primary Workload Failover
East US 2PremiumCore API & AI InferenceWest US 3
West EuropeStandardEU Reader Traffic & GDPR DataNorth Europe
Southeast AsiaStandardAPAC CDN & Search IndexEast Asia

💻 Developer API Integration

Access the full Aevum knowledge graph via REST and GraphQL endpoints hosted on Azure API Management. All requests are routed through Azure Front Door with built-in DDoS protection and TLS 1.3 termination.

curl /api/v2/articles/search
curl -X POST https://api.aevum.ai/v2/articles/search \ -H "Authorization: Bearer $AUVUM_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "query": "quantum entanglement applications", "fields": ["title", "abstract", "citations"], "language": "en", "max_results": 5 }'

SDKs are available for Python, JavaScript, Go, and Rust. Rate limits scale linearly with tier: Free (100 req/min), Pro (5,000 req/min), Enterprise (custom, dedicated Azure instance).

🔐 Security & Compliance

Every data pipeline, model inference endpoint, and user session is secured through Azure-native controls. We maintain strict data residency boundaries for academic and institutional partnerships.

  • End-to-end encryption (AES-256 at rest, TLS 1.3 in transit)
  • GDPR, CCPA, FERPA, and ISO 27001 compliant
  • Azure DDoS Protection Standard & Web Application Firewall
  • Continuous vulnerability scanning & automated patching

For enterprise security audits, SOC 2 reports, or custom compliance workflows, contact our infrastructure team at security@aevum.ai.