Introduction
The eBai Technology Whitepaper outlines our approach to building enterprise-class AI and cloud-native solutions. This document covers our architectural principles, core technological components, and how we ensure scalability, security, and performance across global deployments.
Key Technological Innovations
AI-Driven Optimization
Machine learning models that auto-configure system parameters for optimal performance in enterprise environments. These self-learning algorithms adapt to workload patterns in real time.
Cloud-Native Architecture
Designed for Kubernetes-native deployments with automated scaling, service mesh integration, and container orchestration across global regions.
Technical Architecture Overview
Core Infrastructure Layers
- Service Mesh Layer: Istio + Envoy for traffic management
- AI Orchestration Layer: Kubernetes + ML Pipelines
- Security Layer: Post-Quantum Cryptography and ZTNA
- Global Edge Network: CDN + Low-Latency Inter-Region Mesh
Security Framework
End-to-End Encryption
Full TLS 1.3 encryption, quantum-resistant algorithms for long-term data integrity, and multi-party computation for sensitive workflows.
Compliance & Certifications
- SOC 2 Type II compliant infrastructure
- ISO/IEC 27001 certified data centers
- FEDRAMP and HIPAA-ready configurations
- Real-time threat detection using AI behavioral models
Download the Full Whitepaper
Get detailed technical diagrams, API integration examples, and implementation guidelines for eBai's enterprise solutions.
Access PDF Document