
Zeabur
Deploy your code online in one click.

Description
Zeabur provides a streamlined deployment platform tailored for developers, with a special focus on simplifying the process for AI generation projects. It aims to deliver an exceptionally smooth experience, removing common deployment complexities. The platform automatically analyzes uploaded code to identify the language and framework, enabling rapid deployment without extensive configuration.
Users can deploy various services, including frontend and backend applications, databases, and even LLM-generated code, all within a single platform. Zeabur supports deployment from code editors like Cursor and Copilot, direct uploads, or continuous deployment via GitHub integration. It offers flexible hosting options, including shared clusters, user-owned servers, or managed VPS, alongside features like auto-scaling, object storage, and configuration management to support growing applications.
Key Features
- One-Click Deployment: Deploy code instantly via drag-and-drop, file browsing, or editor plugins.
- Automatic Code Analysis: Automatically detects the language and framework of the project.
- Unified Platform: Deploy frontend, backend, databases, and AI services in one place.
- Flexible Deployment Options: Choose between shared clusters, binding your own server, or Zeabur Managed VPS.
- Usage-Based Pricing: Pay only for the resources consumed by your services.
- Template Market: Deploy pre-built application templates like AI chatbots or Discord bots quickly.
- Configuration-Free CI/CD: Automatically deploy new versions upon pushing code to GitHub.
- Auto Scaling: Automatically adjusts resources based on service demand.
- Object Storage Service: S3/GCS-like file storage integrated into the platform.
- Variables and Configs Management: Centralized management for environment variables and configurations.
- Domain Management: Automatically generate service domains or use custom domains.
- Web Console File Management: Manage service files easily through a GUI.
Use Cases
- Deploying AI generation applications
- Deploying LLM-generated code
- Hosting frontend web applications
- Running backend services
- Deploying databases (MySQL, MongoDB, Redis, etc.)
- Setting up AI chatbots
- Deploying Discord bots
- Creating web forms
- Streamlining CI/CD pipelines for developers