Multi-Cloud Orchestration & Infrastructure Management Platform
An enterprise-grade cloud infrastructure management platform providing unified visibility and control across AWS, Azure, and GCP with real-time monitoring, automated deployments, backup management, and comprehensive audit logging.
Use Cases
DevOps engineers and platform teams can view and manage cloud resources across AWS, Azure, and GCP from a single unified dashboard, eliminating the need to switch between multiple cloud provider consoles. The platform provides real-time visibility into resource status, health metrics, and costs, enabling proactive infrastructure management. Teams can trigger deployments through the deployment management interface, track deployment progress across environments, and promote deployments through staged workflows with approval gates. Backup administrators can schedule automated backups, monitor backup status, and perform restore operations with comprehensive backup history tracking. The monitoring dashboard displays real-time metrics including CPU utilization, memory consumption, network throughput, and storage usage with interactive charts and time-series visualizations, allowing teams to identify performance bottlenecks and optimize resource allocation. Alert managers can configure alert rules, monitor active alerts with severity-based prioritization, and manage alert resolution workflows. Security and compliance teams can access comprehensive audit logs capturing all system actions, user activities, resource modifications, and access patterns, providing complete traceability for compliance requirements. The resource management interface enables filtering and searching resources by provider, type, status, and region, with detailed resource information including metadata, cost per hour, and operational status. The platform supports infrastructure cost tracking and optimization recommendations, helping organizations manage cloud spending across multiple providers. Perfect for multi-cloud enterprises, DevOps teams managing complex infrastructure, platform engineering teams building internal tooling, and organizations requiring compliance-ready infrastructure management with full observability and audit capabilities.
Key Features
- Multi-Cloud Resource Management (AWS, Azure, GCP)
- Unified Dashboard with Resource Overview
- Real-Time Monitoring with CPU, Memory, Network, Storage Metrics
- Interactive Metrics Charts and Visualizations
- Deployment Management with Status Tracking
- Deployment Promotion Workflows
- Backup Management with Scheduling and Restore
- Backup History and Status Monitoring
- Alert Management with Severity Classification
- Real-Time Alert Notifications
- Comprehensive Audit Logging
- Immutable Audit Trail with User Context
- Resource Filtering by Provider, Type, Status, Region
- Resource Detail Views with Metadata
- Cost Tracking per Resource
- macOS-Inspired User Interface
- Responsive Design for All Devices
- Dark Theme with Tailwind CSS
- Server-Side Rendering (SSR) with SvelteKit
- RESTful API with CORS Support
- Type-Safe Frontend with TypeScript
- Service-Oriented Backend Architecture
Architecture
Built with Go (Golang) 1.22+ for high-performance backend services following service-oriented architecture principles with clean separation of concerns. The backend implements RESTful APIs with structured handlers, service layers containing business logic, and model definitions for data structures. The architecture uses a modular service pattern with dedicated services for resource management, deployment orchestration, backup operations, monitoring, alerting, and audit logging. The frontend is built with SvelteKit 2.48+ (Svelte 5) using TypeScript for type safety, featuring server-side rendering (SSR) capabilities with adapter-node for Node.js deployment. The UI is styled with Tailwind CSS 4.1+ providing a modern macOS-inspired design system with responsive layouts, dark theme support, and smooth animations. The frontend uses Svelte 5 runes for reactive state management, providing efficient component updates and data flow. API communication is handled through a centralized API utility with automatic URL resolution, supporting both development proxy and production direct API calls. The platform implements CORS-enabled cross-origin resource sharing for secure API access, with proper error handling and response formatting. The backend services use mock cloud provider integrations simulating AWS, Azure, and GCP responses, with extensible architecture for real provider integration. Resource management supports multiple resource types (compute, database, storage, network, Kubernetes) across three cloud providers with unified data models. The monitoring service generates real-time metrics with simulated time-series data for CPU, memory, network, and storage utilization. The deployment service manages deployment lifecycle with status tracking and promotion workflows. The backup service handles backup creation, scheduling, and restore operations with status monitoring. The alert service manages alert generation, severity classification, and resolution tracking. The audit service captures all system actions with immutable log records including user context, timestamps, and action details. The platform is deployed using Railway with Nixpacks builders, supporting automated CI/CD with GitHub integration. The backend uses Go's standard HTTP server with custom routing, while the frontend uses SvelteKit's file-based routing with server-side hooks for API proxying. The architecture supports horizontal scaling through stateless API design and implements proper error handling, logging, and monitoring capabilities.
Security & Performance
Security is implemented through multiple layers including CORS-enabled API access with configurable origin policies, secure API endpoint design with proper HTTP method handling, and input validation throughout the application. The platform implements comprehensive audit logging with immutable records capturing all system actions, user activities, resource modifications, and API access patterns, providing complete traceability for security and compliance requirements. The backend uses Go's standard security practices including proper error handling without exposing sensitive information, secure HTTP header management, and structured logging. The frontend implements secure API communication with automatic URL resolution, proper error handling, and user-friendly error messages. The platform supports environment-based configuration with secure defaults, allowing API URLs and service endpoints to be configured through environment variables. Performance is optimized through efficient Go backend services with minimal memory footprint and fast response times, leveraging Go's concurrency model for handling multiple requests efficiently. The frontend uses SvelteKit's efficient rendering with server-side rendering for initial page loads and client-side hydration for interactivity, providing fast page transitions and responsive user experience. The Svelte 5 runes system enables fine-grained reactivity, minimizing unnecessary re-renders and optimizing component updates. API responses are structured with proper JSON formatting and efficient data structures, reducing payload sizes and improving network performance. The platform implements proper caching strategies where appropriate, with real-time data updates for monitoring and metrics. The architecture supports horizontal scaling through stateless API design, allowing multiple backend instances to handle increased load. Database operations are optimized with efficient queries and proper indexing (when using persistent storage), and the mock services provide fast response times for demonstration purposes. The monitoring service generates metrics efficiently with simulated time-series data, and the resource management service provides fast resource lookups and filtering capabilities.
Development & Deployment
The application is built using Go 1.22+ for backend services with standard library HTTP server and structured service architecture. Development workflow uses Go modules for dependency management, with clean project structure separating internal packages (api, models, services) and main application entry point. The backend follows Go best practices including proper error handling, structured logging, and idiomatic Go code patterns. The frontend uses SvelteKit 2.48+ (Svelte 5) with TypeScript 5.9+ for type safety, Vite 7.2+ as the build tool, and Tailwind CSS 4.1+ for styling. Development workflow uses npm for package management, with SvelteKit's development server providing hot module replacement and fast refresh capabilities. The codebase is structured with clear separation between frontend and backend, with shared type definitions and API contracts. The frontend uses Svelte 5 runes ($state, $derived) for reactive state management, providing efficient component updates and data flow. Component architecture follows Svelte best practices with reusable components, proper prop typing, and efficient rendering. The platform includes comprehensive API documentation through code structure and type definitions, with RESTful endpoint design following standard conventions. For production deployment, the application uses Railway's Nixpacks builders with custom configuration files (nixpacks.toml) for both backend and frontend services. The backend deployment uses Go build process with optimized binary compilation, while the frontend uses SvelteKit's adapter-node for Node.js deployment with optimized production builds. Railway provides automated CI/CD with GitHub integration, enabling automatic deployments on code pushes with health checks and restart policies. Environment configuration uses Railway's environment variables for API URLs, service endpoints, and deployment settings. The backend service runs on configurable ports with Railway's automatic port assignment, while the frontend service connects to the backend through configurable PUBLIC_API_URL environment variable. The deployment includes proper error handling, logging, and monitoring capabilities, with Railway's built-in logging and metrics for observability. The platform supports zero-downtime deployments through Railway's rolling update strategy and includes comprehensive documentation for setup, deployment, and configuration.