Qubinets
Open siteCoding & Development
Introduction
Seamless Data Infrastructure Setup
Qubinets Product Information
Qubinets Platform — AI Infrastructure and Open Source AI Stack is a cloud-native platform that enables developers, data analysts, and AI engineers to deploy, manage, and scale open-source AI infrastructure with ease. It offers a unified, Kubernetes-based environment that abstracts complex configurations into a graphical UI while preserving full access to underlying settings. The platform consolidates clouds, databases, storage, streaming, identity, observability, search, ML&AI, and cloud-native tooling into a single lifecycle-managed workspace. It emphasizes quick setup, code-first integration, and secure, compliant operations across multiple cloud providers (GCP, Azure, AWS, DigitalOcean).
How to Use Qubinets
- Choose your cloud provider (GCP, Azure, AWS, DigitalOcean) and create a project.
- Configure backend modules (Qubs) to define the required services (databases, storage, streaming, identity, etc.) and connect them to your code.
- Sync to the cloud to deploy the backend components into your chosen cloud account.
- Invoke backend connections from your code by adding the necessary configuration and integration points.
- Manage the infrastructure lifecycle through the UI, monitoring, and automation features.
- Iterate quickly with end-to-end templates, push-button deployments, and a single UI for provisioning and running cloud assets during product lifetime.
Prototyping and production-ready: Build Open Source backends for your code, data pipelines, or AI agents with a unified workflow.
Core Concepts
- Managed Open Source: Start using OSS components from Day 0 with minimal setup.
- Qubs: Backend modules that you configure and deploy to your cloud.
- Single UI for deployment and runtime management, with a 3D view to track dependencies during troubleshooting.
- Language/framework agnostic: Develop in your preferred framework and integrate cloud resources in minutes.
- Full lifecycle management: From provisioning to scaling and orchestration, everything is managed in one place.
Platform Capabilities
- Kubernetes-based infrastructure with security and networking built-in
- Portal for deploying databases, storage, streaming, identity, observability, search, ML&AI, and cloud-native tools
- Support for multiple clouds and seamless provider switching
- Code-first approach: Add your code as a Qub and connect to cloud resources
- Real-time governance and monitoring across the stack
- Templates and presets to accelerate common architectures
- Privacy-conscious data handling and enterprise-grade compliance components
How It Works
- Build, connect, and deploy cloud resources from a unified dashboard.
- Configure Qubs to represent separate backend services and data pipelines.
- Synchronize infrastructure with your cloud account and manage the full lifecycle from a single UI.
- Integrate your code with backend connections directly in your application.
Safety and Compliance Considerations
- Ensure access control and identity management are properly configured for secure operations.
- Follow your organizational policies for data handling, encryption, and compliance across all cloud resources.
Core Features
- Unified cloud provisioning across AWS, GCP, Azure, and DigitalOcean
- Kubernetes-based infrastructure with built-in security and networking
- Managed Open Source: start with OSS stacks and deploy in minutes
- Centralized UI for deployment, management, and monitoring
- Qubs: modular backend components that map to databases, storage, streaming, identity, etc.
- Code-first integration: link your code to cloud resources via Qubs
- End-to-end lifecycle management for the entire infrastructure
- Real-time visibility into dependencies and performance with a 3D view
- Ready-to-use templates and presets for rapid prototyping
- Language/framework agnostic: work with your preferred tools
- Compliance and governance tooling integrated into the platform
How It Works (Summary)
- Choose your cloud provider and set up your environment.
- Create and configure Qubs to represent backend services.
- Sync to the cloud to deploy components.
- Integrate the backend connections into your application code.
- Manage, monitor, and evolve the infrastructure within a single UI.
Target Users
- Developers building AI agents, data analysts deploying data pipelines, and AI engineers needing scalable Open Source infrastructure.
- Teams seeking faster time-to-production with secure, compliant cloud-native backends.
Get Started
- Visit the Qubinets platform to sign up for a free trial or book a demo.
- Explore documentation and templates to accelerate your AI infrastructure projects.