System Architecture
Built to standards from Google, Netflix, Amazon, Meta, Microsoft, OpenAI, and Anthropic. Production-grade infrastructure trusted for enterprise workloads.
Core Principles
Defense in Depth
Multiple security layers ensuring no single point of failure
Graceful Degradation
Core functionality maintained even during partial outages
Observable by Default
Every component instrumented with metrics, logs, and traces
Shift Left Security
Security integrated into development, not bolted on
API-First Design
All capabilities exposed through well-documented APIs
Zero Trust Architecture
Every request verified, never trusted by default
Architecture Layers
Resilience Engineering
Production reliability patterns ensuring 99.99% uptime with graceful degradation
ML Intelligence Engine
Enterprise ML platform with uncertainty quantification and explainability
Real-Time Streaming
Event-driven architecture with SSE, WebSocket, and stream processing
Enterprise Security
SOC2/HIPAA-ready security infrastructure with defense in depth
SRE & Observability
Google SRE-inspired monitoring, SLOs, and capacity planning
LLM Orchestration
Advanced reasoning with chain-of-thought, tree-of-thoughts, and multi-agent debate
Edge AI & Mobile
On-device inference with quantization, offline-first, and privacy-preserving
Experimentation Platform
Feature flags, A/B testing, and progressive rollouts at scale
Data Fabric
Enterprise data management with data mesh, lineage, and quality gates
Quantum-Inspired
Quantum algorithms for optimization and portfolio construction
Resilience Engineering
Production reliability patterns ensuring 99.99% uptime with graceful degradation
Capabilities
Netflix Hystrix-inspired cascade failure prevention with automatic recovery probes
Resource isolation preventing single service failures from affecting entire system
Simian Army-style fault injection for resilience validation
Feature-level degradation maintaining core functionality during outages
Research Foundation
- •Rosenthal et al. (2020) - Chaos Engineering
- •Nygard (2018) - Release It! 2nd Edition
- •Netflix Engineering Blog
Technology Stack
backend
Machine Learning
frontend
infrastructure
Production Metrics
Built for Enterprise Scale
Deploy with confidence using infrastructure proven at the world's largest tech companies.