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Technology Stack

The stack behind the scale.

We choose technologies based on architectural rigor, not trends. Our foundation is built for predictability, performance, and long-term viability.

Autonomous AI Workflow Architecture

Stack by category

The technologies CloudCubit works with, grouped so you can scan the landscape. This is the stack we use in delivery — not a claim of certification, partnership, or affiliation.

AI & Agentic AI

Model integration, retrieval, and agent workflows used to build production LLM applications.

  • OpenAI
  • Azure OpenAI
  • Google Gemini
  • LangChain
  • LangGraph
  • Microsoft Agent Framework
  • RAG
  • AI Agents
  • LLM Applications
  • Vector Search

Frontend

Typed interface stacks for web and mobile surfaces that need to stay predictable as they grow.

  • React
  • Next.js
  • Angular
  • React Native
  • Flutter
  • TypeScript
  • JavaScript
  • Redux
  • Tailwind CSS

Backend

Service and API layers chosen for structure, operational clarity, and integration with existing estates.

  • Node.js
  • NestJS
  • Python
  • FastAPI
  • REST APIs
  • Microservices
  • API Gateways
  • Apigee

Cloud

Azure-centred and AWS-capable platforms for application hosting, storage, and managed data services.

  • Microsoft Azure
  • AWS
  • Azure Functions
  • Azure App Service
  • Azure Container Apps
  • Azure Kubernetes Service
  • Azure Storage
  • Azure Cosmos DB

Infrastructure & DevOps

The delivery layer that makes environments reproducible and releases repeatable.

  • Terraform
  • Azure Bicep
  • Docker
  • Kubernetes
  • CI/CD
  • Infrastructure as Code

Databases & Data

Operational stores, caches, and document databases used as sources of truth for applications and AI retrieval.

  • PostgreSQL
  • Azure Database for PostgreSQL
  • PostgreSQL Flexible Server
  • MongoDB
  • Redis
  • Azure Cosmos DB
  • NoSQL

Frontend

React for UI predictability.

We leverage React and Next.js to construct interfaces that are not only performant but deeply predictable. Component-driven architecture ensures consistency across the platform ecosystem.

Project Case

Fintech Dashboard

Real-time data visualization utilizing React concurrent mode and specialized charting libraries for zero-latency financial reporting.

Why we use it

The unidirectional data flow and virtual DOM provide the necessary constraints to build complex, state-heavy applications without sacrificing maintainability.

Key Benefits

  • Server-Side Rendering (SSR) for optimal Time-To-Interactive.
  • Strict TypeScript integration for compile-time safety.
  • Extensive ecosystem for rapid feature development.

Backend

NestJS for type-safe backends.

We adopt an opinionated, modular architecture using NestJS. It forces discipline, enforcing SOLID principles and dependency injection across all microservices.

Project Case

AI Agent Orchestration

Managing complex, asynchronous agent workflows across distributed systems using RabbitMQ and robust NestJS modules.

Why we use it

It bridges the gap between Node.js flexibility and enterprise-grade structural requirements, natively supporting GraphQL, WebSockets, and Microservices.

Key Benefits

  • Angular-inspired modularity for scalable codebases.
  • Out-of-the-box GraphQL integration (Code First).
  • Seamless integration with PostgreSQL and Prisma ORM.
Enterprise Architecture

System Architecture

Decoupled, event-driven infrastructure engineered for global scale, zero-trust security, and sub-second latency.

Live Infrastructure Topology
Status:● ALL SYSTEMS OPERATIONAL
▲

Frontend Layer (React / Next.js 15)

Edge Rendering & Reactive Client
TTFB < 28ms
Streaming SSRServer Components
CSR HydrationReact 19 Hooks
API RoutesEdge Middleware
State ManagementZustand / Redux
HTTP/3 REST Queries|GraphQL Subscriptions|WebSocket Duplex
🐱

Backend Layer (NestJS / Node.js Engine)

Microservices, Queues & Identity
25,000 req/s
GraphQL APIApollo Federation
Database LayerPrisma ORM
AuthenticationJWT / OAuth2.0
Async QueuesBullMQ / Redis
MicroservicesgRPC & Kafka
Sub-2ms Redis In-Memory Cache|Multi-AZ RDS Replication
☁️

Infrastructure Layer (AWS Cloud & Terraform IaC)

Kubernetes, High-Availability DB & CDN
99.99% Availability
Terraform IaCAutomated Provisioning
AWS EKSKubernetes Autoscaling
AWS RDSPostgreSQL Multi-AZ
ElastiCacheRedis Cluster
Amazon S3Encrypted Asset Lake
CloudFront CDNEdge Cache Network
Route 53Geo-DNS Routing
IAM SecurityZero-Trust Policies
Zero-Downtime Rolling Deployment Active
SOC2 Type II & ISO 27001 Ready🔒

Architecture Decisions

The foundational layers that power our intelligence and application services.

Databases

PostgreSQL & Redis

Relational integrity for core domain data coupled with in-memory caching for high-velocity transaction requirements.

Infrastructure

AWS & Terraform

Infrastructure as Code ensures reproducible, auditable, and version-controlled cloud environments across staging and production.

DevOps

GitHub Actions & Docker

Containerized deployments with automated CI/CD pipelines guarantee zero-downtime releases and strict quality gates.