Traqo.ai
Technical

Cloud-native, enterprise-scale.

A comprehensive technical overview of Traqo's cloud-native, microservices-based SaaS architecture — 14 independent services, polyglot data stores (PostgreSQL, Redis, Elasticsearch, Kafka), API-first design, 170+ carrier integrations, Kubernetes orchestration on AWS EKS, and benchmarks showing 145 ms P95 latency under 12,500 concurrent users.

Live module preview
infra.traqo.ai/dashboard
Live
Microservices (8 of 14 shown)
13 healthy · 1 degraded
Order Service
Node.js
Tracking Service
Go
Settlement Service
Node.js
AI Engine
Python
Document Service
Python
Notification Svc
Node.js
Analytics Service
Python
Integration Svc
Node.js
API Gateway
145ms
P95 latency
4,820
Req/min
0.02%
Error rate
Data stores
PostgreSQL
Multi-AZ RDS
● Healthy
Redis Cluster
6-node, HA
● Healthy
Elasticsearch
3-shard index
● Healthy
Kafka
50K evt/min
● Healthy
§01

Foundational architecture principles

Eight principles guide every design and implementation decision across the Traqo platform, ensuring it can meet demanding enterprise requirements while maintaining agility for rapid feature delivery.

Cloud-native
Built from the ground up for cloud deployment, leveraging managed services, containerization, and infrastructure-as-code for operational efficiency and elasticity.
API-first
Every capability is exposed through well-defined RESTful APIs with OpenAPI 3.0 specifications, enabling seamless integration and extensibility by any enterprise system.
Event-driven
Asynchronous event-driven communication between services using message queues ensures loose coupling, resilience, and high-throughput processing without blocking.
Horizontally scalable
All services are stateless and scale horizontally through container orchestration. No single-instance bottlenecks — every component scales independently.
Fault-tolerant
Circuit breaker patterns, retry logic, graceful degradation, and multi-AZ deployment ensure the platform remains operational even when individual components fail.
Multi-tenant isolated
Shared infrastructure, isolated data — strict logical separation between customer data through row-level security, tenant-scoped encryption keys, and network segmentation.
Security by design
Security controls embedded at every layer — transport encryption, API authentication, field-level encryption, and immutable audit trails from day one.
Observable
Comprehensive metrics (Prometheus/Grafana), structured logging (ELK), and distributed tracing (OpenTelemetry/Jaeger) provide complete visibility into platform health and behavior.
§02

Five-layer architecture

The Traqo platform is organized into five distinct architectural layers, each with clearly defined responsibilities and interfaces. This layered approach ensures separation of concerns and independent scalability.

LayerComponentsResponsibilityKey Technologies
PresentationReact SPA, Mobile App (React Native), WhatsApp BotUI rendering, responsive design, PWA support, offline capability, real-time notificationsReact 18, TypeScript, Tailwind CSS, PWA, WebSocket
API GatewayAPI Gateway, Load Balancer, WAFRequest routing, authentication/authorization, rate limiting, request validation, SSL termination, API versioningKong / AWS API Gateway, Nginx, AWS WAF, OAuth 2.0
Service14 Microservices, Event BusCore business logic, domain processing, inter-service communication, workflow orchestrationNode.js, Python, Go, gRPC, REST, Kafka consumers
DataDatabases, Cache, Search, Object StoragePersistent storage, caching, full-text search, file storage, message queuingPostgreSQL, Redis, Elasticsearch, S3, Kafka/RabbitMQ
IntegrationERP Connectors, Carrier APIs, Gov APIsExternal system connectivity, protocol translation, data mapping, retry/error handling, webhook managementMuleSoft, SAP CPI, REST/SOAP adapters, FTP/SFTP

Request flow

Data flows through the architecture layers in a consistent, predictable pattern — every request is authenticated at the gateway before being routed to the appropriate microservice.

01
Client
Web SPA / Mobile App / WhatsApp Bot / ERP system
02
API Gateway
Auth, rate limiting, schema validation, routing
03
Microservice
Business logic, domain rules, event emission
04
Data Store
PostgreSQL / Redis / Elasticsearch / S3
05
Event Bus
Kafka / RabbitMQ — async cross-service communication

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