ZYNOVIQ.

ARCHITECTURE

Technical Architecture

Event-driven microservices designed for horizontal scale, real-time streaming, and enterprise-grade reliability. API-first, cloud-native, and air-gap deployable.

Design Principles

Built for Enterprise Scale

Event-Driven Microservices

Loosely coupled services communicating via event streams. Each service owns its data and scales independently.

Horizontal Scaling

Stateless services with auto-scaling. Add capacity by adding nodes — no re-architecture required.

Multi-Tenant & Single-Tenant

Shared infrastructure for cost efficiency, or dedicated instances for maximum isolation. Customer chooses.

API-First Design

RESTful APIs with OpenAPI 3.0 specs and GraphQL for flexible queries. Every feature is API-accessible.

Streaming Pipeline

Real-Time Data Flow

Ingest

Event streams from 46+ connectors, webhooks, and batch uploads

Validate

Schema validation, deduplication, and enrichment pipeline

Process

Real-time ML inference, rule evaluation, and anomaly detection

Store

Time-series, document, and relational storage with retention policies

Act

Alerts, workflows, API callbacks, and dashboard updates

Performance SLAs

Production Guarantees

Throughput50K+ events/sec
Latency (p99)<200ms
Availability99.99% SLA
Recovery Time<15 min RTO
Recovery Point<1 min RPO
Max Concurrent Users100K+
Technology Stack

Under the Hood

Runtime

Python 3.12, Node.js 20 LTS, Rust (performance-critical paths)

Data

PostgreSQL 16, Redis 7, Apache Kafka, TimescaleDB

ML/AI

CatBoost, XGBoost, PyTorch, ONNX Runtime, llama.cpp

Infrastructure

Kubernetes, Docker, Terraform, Prometheus, Grafana

Security

Vault, cert-manager, OPA, Falco, Trivy

Deep-Dive Into Our Architecture

Schedule a technical session with our principal engineers to review architecture, scalability, and deployment options.