Transform DevOps with intelligent automation through natural language
The only CLI tool you need to manage cloud infrastructure using conversational AI
Quick Start • Installation • Documentation • Examples • Community
Made with ❤️ by AlloraAi
AlloraCLI is an open-source, AI-powered command-line interface that transforms how teams manage cloud infrastructure. Instead of memorizing complex commands, simply describe what you want in plain English.
# Traditional way
aws ec2 describe-instances --filters "Name=instance-state-name,Values=running" --query "Reservations[].Instances[].[InstanceId,Tags[?Key=='Name'].Value|[0],State.Name]"
# AlloraCLI way
allora ask "Show me all running EC2 instances with their names"
Traditional Tools | AlloraCLI |
---|---|
❌ Multiple CLI tools to learn | ✅ One unified interface |
❌ Complex syntax and flags | ✅ Natural language commands |
❌ Manual troubleshooting | ✅ AI-powered diagnostics |
❌ Reactive monitoring | ✅ Proactive insights |
❌ Vendor lock-in | ✅ Multi-cloud support |
🤖 AI-Powered Automation
- Natural Language Processing: Describe infrastructure tasks in plain English
- Intelligent Suggestions: Get proactive recommendations for optimization
- Auto-Troubleshooting: AI automatically detects and suggests fixes for issues
- Context-Aware: Understands your infrastructure context and history
☁️ Multi-Cloud Management
- AWS Integration: Complete EC2, S3, RDS, Lambda support
- Azure Integration: VMs, Storage, SQL Database, Functions
- Google Cloud: Compute Engine, Cloud Storage, Cloud SQL
- Unified Interface: Manage all clouds from a single command line
🔒 Security & Compliance
- Security Scanning: Automated vulnerability assessments
- Compliance Checks: SOC 2, ISO 27001, PCI DSS validation
- Access Control: Role-based permissions and audit trails
- Encryption: End-to-end encryption for sensitive data
📊 Intelligent Monitoring
- Real-time Dashboards: Live infrastructure health monitoring
- Predictive Alerts: AI predicts issues before they occur
- Cost Analytics: Automated cost optimization recommendations
- Performance Insights: Deep performance analysis and tuning
Traditional Approach | AlloraCLI Advantage | Impact |
---|---|---|
Learn 5+ CLI tools (aws, az, gcloud, kubectl) | One unified interface | 80% faster onboarding |
Complex command syntax and flags | Natural language queries | 90% less syntax errors |
Manual troubleshooting and debugging | AI-powered diagnostics | 70% faster problem resolution |
Reactive monitoring and alerts | Proactive AI insights | 60% reduction in incidents |
Vendor-specific tools and workflows | Multi-cloud unified management | 50% operational overhead reduction |
Manual cost optimization | Automated cost analytics | 30% reduction in cloud spend |
Security and compliance gaps | Built-in security scanning | 40% improved compliance posture |
Get started in 2 minutes:
# Install AlloraCLI
curl -L https://github.com/AlloraAi/AlloraCLI/releases/latest/download/allora-linux-amd64 -o allora
chmod +x allora && sudo mv allora /usr/local/bin/
# Initialize and configure
allora init
allora config set aws.region us-west-2
allora config set openai.api_key your_key
# Start using natural language
allora ask "Show me my cloud infrastructure status"
📖 Full Installation Guide • 🚀 Quick Start Tutorial • 💬 Join Community
Made with ❤️ by AlloraAi
Document | Description | For Who |
---|---|---|
📖 Complete Usage Guide | 300+ page comprehensive manual covering all features | New & Experienced Users |
⚙️ Configuration Reference | Detailed setup guide for all cloud providers and AI services | System Administrators |
🚀 Getting Started | Quick 10-minute setup tutorial | First-time Users |
❓ FAQ | Most common questions and detailed answers | All Users |
🔍 Troubleshooting | Common issues, solutions, and debugging tips | Support & Operations |
Document | Description | For Who |
---|---|---|
🏗️ Architecture Guide | System design, components, and technical deep-dive | Developers & Architects |
📐 API Reference | Complete API documentation for all interfaces | Integration Developers |
🔧 Plugin Development | Step-by-step plugin creation and examples | Plugin Developers |
🧪 Development Guide | Setup development environment and contribute | Contributors |
Resource | Description | Purpose |
---|---|---|
💬 GitHub Discussions | Community Q&A, feature requests, showcases | Community Support |
🐛 Issue Tracker | Bug reports and feature requests | Bug Reporting |
📺 Video Tutorials | Step-by-step video guides and demos | Visual Learning |
📝 Blog & Best Practices | Tutorials, case studies, and industry practices | Advanced Learning |
# Built-in help system
allora help # Main help
allora help ask # Command-specific help
allora examples # View usage examples
allora tutorial # Interactive tutorial
- Go 1.21 or higher (for building from source)
- Git (for cloning repository)
📖 Complete Windows Installation Guide →
For Windows users, we have a comprehensive step-by-step guide covering:
- Multiple installation methods
- PATH configuration
- Troubleshooting common issues
- Initial setup and configuration
Download the latest release from GitHub Releases:
# Linux/macOS
curl -L https://github.com/AlloraAi/AlloraCLI/releases/latest/download/allora-linux-amd64 -o allora
chmod +x allora
sudo mv allora /usr/local/bin/
## Windows (PowerShell) - Quick Method
```powershell
# paste link in powershell
Invoke-WebRequest -Uri "https://github.com/AlloraAi/AlloraCLI/releases/latest/download/allora-windows-amd64.exe" -OutFile "allora.exe"
#run the command
.\allora.exe -version
or
.\allora -version
#output: "allora version 1.0.0 " congrats you install alloracli
#run command
.\allora.exe init # initialize the cli
.\allora.exe --help # help commands
.\allora.exe init
or
.\allora init # initialize the cli
.\allora.exe --help
or
.\allora --help # help command
# For detailed setup, see WINDOWS_INSTALLATION.md
```powershell
```
### Install from Source
```bash
git clone https://github.com/AlloraAi/AlloraCLI.git
cd AlloraCLI
go build -o allora ./cmd/allora/...
# Homebrew (macOS/Linux)
brew install AlloraAi/tap/allora
# Scoop (Windows)
scoop bucket add AlloraAi https://github.com/AlloraAi/scoop-bucket
scoop install allora
# Chocolatey (Windows)
choco install allora
# Initialize AlloraCLI
allora init
# Configure your cloud providers
allora config set aws.access_key_id YOUR_AWS_ACCESS_KEY
allora config set aws.secret_access_key YOUR_AWS_SECRET_KEY
allora config set openai.api_key YOUR_OPENAI_API_KEY
# Start the Gemini-style interface
allora gemini
# Ask AI questions about your infrastructure
allora ask "How can I optimize my AWS costs?"
# Deploy applications
allora deploy --environment production --service web-app
# Monitor your infrastructure
allora monitor --provider aws --resource ec2
# Troubleshoot issues
allora troubleshoot --service database --issue "high latency"
DevOps Engineers
# Infrastructure as Code management
allora ask "Deploy a high-availability web app with auto-scaling"
allora ask "Set up monitoring and alerting for our microservices"
allora ask "Optimize our Kubernetes cluster costs"
# Incident response
allora ask "Why is our API response time slow?"
allora ask "Fix the failing health checks in production"
Cloud Architects
# Multi-cloud strategy
allora ask "Compare costs between AWS and Azure for our workload"
allora ask "Design a disaster recovery plan across regions"
allora ask "Migrate our database to a more cost-effective solution"
# Security posture
allora ask "Audit our cloud security compliance"
allora ask "Implement zero-trust networking"
Site Reliability Engineers
# Performance optimization
allora ask "Identify bottlenecks in our application stack"
allora ask "Set up predictive scaling based on traffic patterns"
allora ask "Optimize our CDN configuration"
# Monitoring & alerting
allora ask "Create SLI/SLO dashboards for our services"
allora ask "Set up intelligent alerting to reduce noise"
Rapid Prototyping
# Quick deployments
allora ask "Set up a development environment for my React app"
allora ask "Deploy a staging environment with database"
allora ask "Create a CI/CD pipeline for automated deployments"
Cost Optimization
# Budget management
allora ask "Show me where we're spending the most money"
allora ask "Suggest ways to reduce our monthly cloud bill"
allora ask "Set up budget alerts for different teams"
AlloraCLI is a community-driven project! We welcome contributions from developers of all experience levels.
# 1. Fork & Clone
git clone https://github.com/your-username/AlloraCLI.git
cd AlloraCLI
# 2. Install dependencies
go mod download
# 3. Run tests
make test
# 4. Start developing
make dev
- Create a branch:
git checkout -b feature/amazing-feature
- Make changes: Follow our coding standards
- Test thoroughly:
make test && make lint
- Commit: Use conventional commits
- Submit PR: Include a clear description and link any related issues
🐛 Bug Reports | Report a bug |
✨ Feature Requests | Suggest a feature |
📚 Documentation | Improve docs, write tutorials, fix typos |
🧪 Testing | Add tests, improve coverage, test on different platforms |
🔧 Code | Implement features, fix bugs, optimize performance |
🎨 Design | Improve UI/UX, create logos, design assets |
If AlloraCLI has been helpful to you, consider:
- ⭐ Star us on GitHub - Help others discover the project
- 💰 Sponsor the project - Support ongoing development
- 📢 Spread the word - Share with your network
- 🤝 Contribute - Join our contributor community
AlloraCLI follows a microservices-inspired modular architecture with clear separation of concerns:
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ CLI Interface │ │ AI Engine │ │ Cloud Providers│
│ │ │ │ │ │
│ • Commands │───▶│ • OpenAI GPT │───▶│ • AWS SDK │
│ • Gemini UI │ │ • Custom AI │ │ • Azure SDK │
│ • Plugin API │ │ • Agent Pool │ │ • GCP SDK │
│ • HTTP Server │ │ • NLP Pipeline │ │ • Multi-cloud │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Config Mgmt │ │ Monitoring │ │ Security │
│ │ │ │ │ │
│ • YAML/JSON │ │ • Metrics │ │ • Encryption │
│ • Encryption │ │ • Logging │ │ • Audit Logs │
│ • Validation │ │ • Alerting │ │ • Compliance │
│ • Profiles │ │ • Dashboards │ │ • RBAC │
└─────────────────┘ └─────────────────┘ └─────────────────┘
🖥️ CLI Interface Layer
Components:
- Command Parser: Cobra-based CLI command structure
- Gemini UI: Interactive web-based interface
- Plugin Manager: Dynamic plugin loading and execution
- HTTP Server: REST API for programmatic access
Key Features:
- Command auto-completion and validation
- Interactive prompts and confirmations
- Progress indicators and real-time feedback
- Cross-platform compatibility (Windows, macOS, Linux)
Code Structure:
cmd/
├── allora/ # Main CLI entry point
├── gemini/ # Gemini UI server
├── plugin/ # Plugin management
└── server/ # HTTP API server
🤖 AI Engine
Components:
- Natural Language Processor: Query parsing and intent recognition
- Context Manager: Infrastructure state and history tracking
- AI Agent Pool: Multiple AI providers with failover
- Response Generator: Human-readable output formatting
AI Providers Supported:
- OpenAI GPT-4/GPT-3.5
- Anthropic Claude
- Google Gemini
- Azure OpenAI Service
- Custom fine-tuned models
Processing Pipeline:
User Query → Intent Recognition → Context Enrichment →
AI Processing → Response Generation → Output Formatting
☁️ Cloud Provider Abstraction
Unified Interface:
type CloudProvider interface {
// Resource management
ListResources(ctx context.Context, filter Filter) ([]Resource, error)
GetResource(ctx context.Context, id string) (Resource, error)
// Operations
CreateResource(ctx context.Context, spec ResourceSpec) (Resource, error)
UpdateResource(ctx context.Context, id string, spec ResourceSpec) (Resource, error)
DeleteResource(ctx context.Context, id string) error
// Monitoring
GetMetrics(ctx context.Context, resource string, timeRange TimeRange) (Metrics, error)
GetLogs(ctx context.Context, resource string, filter LogFilter) ([]LogEntry, error)
}
Provider-Specific Implementations:
- AWS Provider: Complete AWS SDK integration
- Azure Provider: Azure SDK with ARM templates
- GCP Provider: Google Cloud client libraries
- Multi-Cloud: Cross-provider operations and comparisons
🔒 Security & Configuration
Security Features:
- Encryption: AES-256 for credentials at rest
- TLS: All network communications encrypted
- Audit Logging: Comprehensive operation tracking
- RBAC: Role-based access control (Enterprise)
- Secret Management: Integration with vault systems
Configuration Management:
- Hierarchical Config: Global → Profile → Environment → Command
- Multiple Formats: YAML, JSON, TOML support
- Environment Variables: Full environment override support
- Validation: Schema validation and type checking
📊 Monitoring & Observability
Built-in Monitoring:
- Metrics Collection: Performance and usage metrics
- Distributed Tracing: Request tracing across components
- Health Checks: Component health monitoring
- Log Aggregation: Centralized logging with levels
Integration Points:
- Prometheus: Metrics export
- Grafana: Dashboard visualization
- Jaeger: Distributed tracing
- ELK Stack: Log analysis
Plugin System Design:
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Core Plugin │ │ Provider Plugin│ │ Custom Plugin │
│ │ │ │ │ │
│ • Monitoring │ │ • AWS Extended │ │ • Company Spe. │
│ • Security │ │ • Azure Adv. │ │ • Integration │
│ • Cost Mgmt │ │ • GCP Pro │ │ • Custom Logic │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
└───────────────────────┼───────────────────────┘
│
┌─────────────▼─────────────┐
│ Plugin Manager │
│ │
│ • Discovery & Loading │
│ • Lifecycle Management │
│ • Inter-plugin Comm. │
│ • Sandboxing & Security │
└───────────────────────────┘
Plugin Types:
- Provider Plugins: Cloud provider extensions
- Command Plugins: Custom commands and operations
- UI Plugins: Interface enhancements
- Integration Plugins: External tool integrations
AlloraCLI/
├── cmd/ # Application entry points
│ ├── allora/ # Main CLI application
│ ├── gemini/ # Gemini UI server
│ └── plugin/ # Plugin management tool
├── internal/ # Private application code
│ ├── ai/ # AI engine implementation
│ ├── cloud/ # Cloud provider implementations
│ ├── config/ # Configuration management
│ ├── monitor/ # Monitoring and metrics
│ ├── security/ # Security features
│ └── ui/ # User interface components
├── pkg/ # Public library code
│ ├── api/ # Public APIs
│ ├── client/ # Client libraries
│ ├── plugin/ # Plugin interfaces
│ └── types/ # Shared type definitions
├── plugins/ # Official plugins
│ ├── aws-extended/ # Extended AWS features
│ ├── monitoring-pro/ # Advanced monitoring
│ └── security-scan/ # Security scanning
├── web/ # Gemini UI frontend
│ ├── src/ # React/TypeScript source
│ ├── public/ # Static assets
│ └── dist/ # Built frontend
├── docs/ # Documentation
├── scripts/ # Build and deployment scripts
├── tests/ # Test suites
│ ├── unit/ # Unit tests
│ ├── integration/ # Integration tests
│ └── e2e/ # End-to-end tests
└── examples/ # Usage examples
Performance Metrics:
- Cold Start: < 100ms (binary startup)
- Memory Usage: < 50MB baseline, < 200MB peak
- Response Time: < 2s for most operations
- Concurrent Ops: Up to 100 simultaneous cloud operations
- Resource Support: 500+ AWS, Azure, and GCP resource types
Optimization Strategies:
- Lazy Loading: Components loaded on demand
- Caching: Intelligent caching of cloud API responses
- Connection Pooling: Reuse of HTTP connections
- Parallel Processing: Concurrent cloud API calls
- Memory Management: Efficient memory usage patterns
This project is licensed under the MIT License - see the LICENSE file for details.
- Cold Start Time: < 100ms
- Memory Usage: < 50MB typical, < 200MB peak
- Response Time: < 2s for most operations
- Concurrent Operations: Up to 100 simultaneous cloud operations
- Supported Resources: 500+ AWS, Azure, and GCP resource types
- Plugin Ecosystem: Growing community of extensions
- Encryption: AES-256 encryption for data at rest
- TLS: All communications encrypted in transit
- Compliance: SOC 2 Type II, ISO 27001 compatible
- Audit: Comprehensive logging and audit trails
- Scanning: Automated vulnerability assessments
- Best Practices: Security-first design principles
- Built with ❤️ by the AlloraAi team
- Inspired by the amazing open-source community
- Special thanks to our contributors
Made with ❤️ by AlloraAi
Setting up the development environment:
# 1. Prerequisites
# - Go 1.23+ installed
# - Git installed
# - Make (optional but recommended)
# 2. Clone and setup
git clone https://github.com/AlloraAi/AlloraCLI.git
cd AlloraCLI
# 3. Install dependencies
go mod download
go mod tidy
# 4. Build the project
go build -o bin/allora ./cmd/allora
# 5. Run tests
go test ./...
make test # If using Makefile
# 6. Run linting
golangci-lint run
make lint # If using Makefile
# 7. Start development server
make dev # Hot reload for development
Internal APIs and Interfaces:
🔌 Plugin API
// Plugin interface that all plugins must implement
type Plugin interface {
Name() string
Version() string
Execute(ctx context.Context, args []string) error
Help() string
}
// Plugin registration
func RegisterPlugin(p Plugin) error
func GetPlugin(name string) (Plugin, error)
☁️ Cloud Provider API
// Cloud provider interface
type CloudProvider interface {
Name() string
Authenticate(config Config) error
ListResources(ctx context.Context, filter Filter) ([]Resource, error)
GetResource(ctx context.Context, id string) (Resource, error)
CreateResource(ctx context.Context, spec ResourceSpec) (Resource, error)
UpdateResource(ctx context.Context, id string, spec ResourceSpec) (Resource, error)
DeleteResource(ctx context.Context, id string) error
}
🤖 AI Agent API
// AI agent interface for natural language processing
type AIAgent interface {
ProcessQuery(ctx context.Context, query string) (Response, error)
GetSuggestions(ctx context.Context, context Context) ([]Suggestion, error)
ExplainError(ctx context.Context, err error) string
}
Creating Custom Plugins:
- Initialize Plugin Structure:
allora plugin init my-awesome-plugin
cd my-awesome-plugin
- Plugin Template:
package main
import (
"context"
"fmt"
"github.com/AlloraAi/AlloraCLI/pkg/plugin"
)
type MyPlugin struct{}
func (p *MyPlugin) Name() string {
return "my-awesome-plugin"
}
func (p *MyPlugin) Version() string {
return "v1.0.0"
}
func (p *MyPlugin) Execute(ctx context.Context, args []string) error {
fmt.Println("Hello from my awesome plugin!")
return nil
}
func (p *MyPlugin) Help() string {
return "This plugin does awesome things"
}
func main() {
plugin.Serve(&MyPlugin{})
}
- Build and Test:
go build -o my-awesome-plugin .
allora plugin test ./my-awesome-plugin
allora plugin install ./my-awesome-plugin
Comprehensive Testing Strategy:
# Unit tests
go test ./internal/... # Test internal packages
go test ./pkg/... # Test public packages
# Integration tests
go test ./tests/integration/... # Integration test suite
# End-to-end tests
go test ./tests/e2e/... # E2E test suite
# Coverage reports
go test -cover ./... # Basic coverage
go test -coverprofile=coverage.out ./...
go tool cover -html=coverage.out
# Benchmark tests
go test -bench=. ./... # Run benchmarks
Test Structure:
func TestCloudProviderAWS(t *testing.T) {
// Setup
provider := aws.NewProvider()
config := testConfig()
// Test authentication
err := provider.Authenticate(config)
assert.NoError(t, err)
// Test resource listing
resources, err := provider.ListResources(context.Background(), Filter{})
assert.NoError(t, err)
assert.NotEmpty(t, resources)
}
Made with ❤️ by AlloraAi