Orchestrate AWS Deployment
Analyze your codebase and get intelligent AWS deployment recommendations with cost optimization insights.
Features
🚀 Application Analysis
- Framework Detection: Automatically detects React, Vue, Angular, Node.js, Python, Java, and more
- Component Analysis: Identifies frontend, backend, database, and API components
- Dependency Mapping: Analyzes package.json, requirements.txt, and other dependency files
- Static Asset Detection: Counts and categorizes static resources
📊 Deployment Readiness Assessment
- Docker Readiness: Evaluates Dockerfile quality, multi-stage builds, and container optimization
- Serverless Readiness: Analyzes Lambda compatibility, cold start optimization, and function size
- Static Site Readiness: Assesses static hosting compatibility and CDN requirements
- Container Readiness: Evaluates Kubernetes and ECS deployment suitability
💰 Cost Analysis & Optimization
- Multi-Platform Cost Estimation: Compare costs across Docker, Serverless, Static, and Container platforms
- Monthly Cost Breakdowns: Detailed cost analysis with compute, storage, network, and database components
- Cost Optimization Recommendations: Identify potential savings and optimization opportunities
- Budget Planning: Get realistic cost estimates for different deployment scenarios
🎯 Intelligent Deployment Recommendations
- Component-Specific Recommendations: Tailored suggestions for frontend, backend, database, and API components
- Confidence Scoring: Each recommendation includes a confidence score and detailed reasoning
- Alternative Options: Compare multiple deployment strategies with pros and cons
- Best Practices: Industry-standard recommendations based on your specific tech stack
Quick Start
- Open Command Palette (
Ctrl+Shift+P / Cmd+Shift+P)
- Run Analysis: Type
Orchestrate: Analyze Application
- View Results: Explore the comprehensive analysis report with tabs for:
- Overview
- Deployment Readiness
- Cost Analysis
- Deployment Recommendations
Supported Technologies
Frontend Frameworks
- React, Vue.js, Angular
- Next.js, Nuxt.js, Svelte
- Static site generators (Gatsby, Hugo, Jekyll)
Backend Technologies
- Node.js (Express, Fastify, Koa)
- Python (Django, Flask, FastAPI)
- Java (Spring Boot, Quarkus)
- .NET Core
- Go, Rust, PHP
Databases
- PostgreSQL, MySQL, MongoDB
- Redis, DynamoDB
- SQLite, SQL Server
Containerization
- Docker (Dockerfile, docker-compose)
- Kubernetes manifests
- Helm charts
Analysis Features
Deployment Readiness Scoring
Each platform receives a readiness score (0-100) based on:
- File Structure: Presence of required configuration files
- Code Quality: Analysis of build scripts and dependencies
- Best Practices: Adherence to platform-specific recommendations
- Compatibility: Assessment of framework-to-platform compatibility
Cost Estimation
Get realistic monthly cost estimates for:
- Compute Resources: CPU, memory, and processing costs
- Storage: Data storage and backup costs
- Network: Bandwidth and CDN costs
- Database: Database hosting and scaling costs
- Monitoring: Logging and monitoring service costs
Deployment Recommendations
Receive intelligent recommendations for:
- Frontend Deployment: Static hosting, CDN, or containerized deployment
- Backend Deployment: Serverless, containerized, or traditional server deployment
- Database Deployment: Managed services vs. self-hosted options
- API Deployment: Gateway, load balancer, or direct deployment strategies
Use Cases
🏢 Enterprise Applications
- Multi-service architecture analysis
- Cost optimization for large-scale deployments
- Compliance and security recommendations
🚀 Startup Projects
- Rapid deployment strategy selection
- Budget-conscious infrastructure planning
- Scalability assessment
🔧 Development Teams
- Technology stack evaluation
- Deployment strategy comparison
- Cost-benefit analysis
📈 DevOps Teams
- Infrastructure planning
- Cost optimization strategies
- Deployment readiness assessment
Configuration
The extension automatically detects your project structure and provides recommendations based on:
- Package managers (npm, yarn, pip, maven, gradle)
- Build tools (webpack, vite, rollup, gulp)
- Framework configurations
- Environment files
- Docker configurations
Requirements
- Visual Studio Code 1.60.0 or higher
- Node.js project or supported framework
- Internet connection for cost estimation data
Contributing
We welcome contributions! Please see our Contributing Guide for details.
Support
License
MIT License - see LICENSE file for details.
Changelog
See CHANGELOG.md for version history and updates.
Made with ❤️ for the AWS community
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