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Goby

Comprehensive goby commands and workflows for system administration across all platforms.

Basic Commands

Command Description
goby --version Show goby version
goby --help Display help information
goby init Initialize goby in current directory
goby status Check current status
goby list List available options
goby info Display system information
goby config Show configuration settings
goby update Update to latest version
goby start Start goby service
goby stop Stop goby service
goby restart Restart goby service
goby reload Reload configuration

Installation

Linux/Ubuntu

# Package manager installation
sudo apt update
sudo apt install goby

# Alternative installation
wget https://github.com/example/goby/releases/latest/download/goby-linux
chmod +x goby-linux
sudo mv goby-linux /usr/local/bin/goby

# Build from source
git clone https://github.com/example/goby.git
cd goby
make && sudo make install

macOS

# Homebrew installation
brew install goby

# MacPorts installation
sudo port install goby

# Manual installation
curl -L -o goby https://github.com/example/goby/releases/latest/download/goby-macos
chmod +x goby
sudo mv goby /usr/local/bin/

Windows

# Chocolatey installation
choco install goby

# Scoop installation
scoop install goby

# Winget installation
winget install goby

# Manual installation
# Download from https://github.com/example/goby/releases
# Extract and add to PATH

Configuration

Command Description
goby config show Display current configuration
goby config list List all configuration options
goby config set <key> <value> Set configuration value
goby config get <key> Get configuration value
goby config unset <key> Remove configuration value
goby config reset Reset to default configuration
goby config validate Validate configuration file
goby config export Export configuration to file

Advanced Operations

File Operations

# Create new file/resource
goby create <name>

# Read file/resource
goby read <name>

# Update existing file/resource
goby update <name>

# Delete file/resource
goby delete <name>

# Copy file/resource
goby copy <source> <destination>

# Move file/resource
goby move <source> <destination>

# List all files/resources
goby list --all

# Search for files/resources
goby search <pattern>

Network Operations

# Connect to remote host
goby connect <host>:<port>

# Listen on specific port
goby listen --port <port>

# Send data to target
goby send --target <host> --data "<data>"

# Receive data from source
goby receive --source <host>

# Test connectivity
goby ping <host>

# Scan network range
goby scan <network>

# Monitor network traffic
goby monitor --interface <interface>

# Proxy connections
goby proxy --listen <port> --target <host>:<port>

Process Management

# Start background process
goby start --daemon

# Stop running process
goby stop --force

# Restart with new configuration
goby restart --config <file>

# Check process status
goby status --verbose

# Monitor process performance
goby monitor --metrics

# Kill all processes
goby killall

# Show running processes
goby ps

# Manage process priority
goby priority --pid <pid> --level <level>

Security Features

Authentication

# Login with username/password
goby login --user <username>

# Login with API key
goby login --api-key <key>

# Login with certificate
goby login --cert <cert_file>

# Logout current session
goby logout

# Change password
goby passwd

# Generate new API key
goby generate-key --name <key_name>

# List active sessions
goby sessions

# Revoke session
goby revoke --session <session_id>

Encryption

# Encrypt file
goby encrypt --input <file> --output <encrypted_file>

# Decrypt file
goby decrypt --input <encrypted_file> --output <file>

# Generate encryption key
goby keygen --type <type> --size <size>

# Sign file
goby sign --input <file> --key <private_key>

# Verify signature
goby verify --input <file> --signature <sig_file>

# Hash file
goby hash --algorithm <algo> --input <file>

# Generate certificate
goby cert generate --name <name> --days <days>

# Verify certificate
goby cert verify --cert <cert_file>

Monitoring and Logging

System Monitoring

# Monitor system resources
goby monitor --system

# Monitor specific process
goby monitor --pid <pid>

# Monitor network activity
goby monitor --network

# Monitor file changes
goby monitor --files <directory>

# Real-time monitoring
goby monitor --real-time --interval 1

# Generate monitoring report
goby report --type monitoring --output <file>

# Set monitoring alerts
goby alert --threshold <value> --action <action>

# View monitoring history
goby history --type monitoring

Logging

# View logs
goby logs

# View logs with filter
goby logs --filter <pattern>

# Follow logs in real-time
goby logs --follow

# Set log level
goby logs --level <level>

# Rotate logs
goby logs --rotate

# Export logs
goby logs --export <file>

# Clear logs
goby logs --clear

# Archive logs
goby logs --archive <archive_file>

Troubleshooting

Common Issues

Issue: Command not found

# Check if goby is installed
which goby
goby --version

# Check PATH variable
echo $PATH

# Reinstall if necessary
sudo apt reinstall goby
# or
brew reinstall goby

Issue: Permission denied

# Run with elevated privileges
sudo goby <command>

# Check file permissions
ls -la $(which goby)

# Fix permissions
chmod +x /usr/local/bin/goby

# Check ownership
sudo chown $USER:$USER /usr/local/bin/goby

Issue: Configuration errors

# Validate configuration
goby config validate

# Reset to default configuration
goby config reset

# Check configuration file location
goby config show --file

# Backup current configuration
goby config export > backup.conf

# Restore from backup
goby config import backup.conf

Issue: Service not starting

# Check service status
goby status --detailed

# Check system logs
journalctl -u goby

# Start in debug mode
goby start --debug

# Check port availability
netstat -tulpn|grep <port>

# Kill conflicting processes
goby killall --force

Debug Commands

Command Description
goby --debug Enable debug output
goby --verbose Enable verbose logging
goby --trace Enable trace logging
goby test Run built-in tests
goby doctor Run system health check
goby diagnose Generate diagnostic report
goby benchmark Run performance benchmarks
goby validate Validate installation and configuration

Performance Optimization

Resource Management

# Set memory limit
goby --max-memory 1G <command>

# Set CPU limit
goby --max-cpu 2 <command>

# Enable caching
goby --cache-enabled <command>

# Set cache size
goby --cache-size 100M <command>

# Clear cache
goby cache clear

# Show cache statistics
goby cache stats

# Optimize performance
goby optimize --profile <profile>

# Show performance metrics
goby metrics

Parallel Processing

# Enable parallel processing
goby --parallel <command>

# Set number of workers
goby --workers 4 <command>

# Process in batches
goby --batch-size 100 <command>

# Queue management
goby queue add <item>
goby queue process
goby queue status
goby queue clear

Integration

Scripting

#!/bin/bash
# Example script using goby

set -euo pipefail

# Configuration
CONFIG_FILE="config.yaml"
LOG_FILE="goby.log"

# Check if goby is available
if ! command -v goby &> /dev/null; then
    echo "Error: goby is not installed" >&2
    exit 1
fi

# Function to log messages
log() \\\\{
    echo "$(date '+%Y-%m-%d %H:%M:%S') - $1"|tee -a "$LOG_FILE"
\\\\}

# Main operation
main() \\\\{
    log "Starting goby operation"

    if goby --config "$CONFIG_FILE" run; then
        log "Operation completed successfully"
        exit 0
    else
        log "Operation failed with exit code $?"
        exit 1
    fi
\\\\}

# Cleanup function
cleanup() \\\\{
    log "Cleaning up"
    goby cleanup
\\\\}

# Set trap for cleanup
trap cleanup EXIT

# Run main function
main "$@"

API Integration

#!/usr/bin/env python3
"""
Python wrapper for the tool
"""

import subprocess
import json
import logging
from pathlib import Path
from typing import Dict, List, Optional

class ToolWrapper:
    def __init__(self, config_file: Optional[str] = None):
        self.config_file = config_file
        self.logger = logging.getLogger(__name__)

    def run_command(self, args: List[str]) -> Dict:
        """Run command and return parsed output"""
        cmd = ['tool_name']

        if self.config_file:
            cmd.extend(['--config', self.config_file])

        cmd.extend(args)

        try:
            result = subprocess.run(
                cmd,
                capture_output=True,
                text=True,
                check=True
            )
            return \\\\{'stdout': result.stdout, 'stderr': result.stderr\\\\}
        except subprocess.CalledProcessError as e:
            self.logger.error(f"Command failed: \\\\{e\\\\}")
            raise

    def status(self) -> Dict:
        """Get current status"""
        return self.run_command(['status'])

    def start(self) -> Dict:
        """Start service"""
        return self.run_command(['start'])

    def stop(self) -> Dict:
        """Stop service"""
        return self.run_command(['stop'])

# Example usage
if __name__ == "__main__":
    wrapper = ToolWrapper()
    status = wrapper.status()
    print(json.dumps(status, indent=2))

Environment Variables

Variable Description Default
GOBY_CONFIG Configuration file path ~/.goby/config.yaml
GOBY_HOME Home directory ~/.goby
GOBY_LOG_LEVEL Logging level INFO
GOBY_LOG_FILE Log file path ~/.goby/logs/goby.log
GOBY_CACHE_DIR Cache directory ~/.goby/cache
GOBY_DATA_DIR Data directory ~/.goby/data
GOBY_TIMEOUT Default timeout 30s
GOBY_MAX_WORKERS Maximum workers 4

Configuration File

# ~/.goby/config.yaml
version: "1.0"

# General settings
settings:
  debug: false
  verbose: false
  log_level: "INFO"
  log_file: "~/.goby/logs/goby.log"
  timeout: 30
  max_workers: 4

# Network configuration
network:
  host: "localhost"
  port: 8080
  ssl: true
  timeout: 30
  retries: 3

# Security settings
security:
  auth_required: true
  api_key: ""
  encryption: "AES256"
  verify_ssl: true

# Performance settings
performance:
  cache_enabled: true
  cache_size: "100M"
  cache_dir: "~/.goby/cache"
  max_memory: "1G"

# Monitoring settings
monitoring:
  enabled: true
  interval: 60
  metrics_enabled: true
  alerts_enabled: true

Examples

Basic Workflow

# 1. Initialize goby
goby init

# 2. Configure basic settings
goby config set host example.com
goby config set port 8080

# 3. Start service
goby start

# 4. Check status
goby status

# 5. Perform operations
goby run --target example.com

# 6. View results
goby results

# 7. Stop service
goby stop

Advanced Workflow

# Comprehensive operation with monitoring
goby run \
  --config production.yaml \
  --parallel \
  --workers 8 \
  --verbose \
  --timeout 300 \
  --output json \
  --log-file operation.log

# Monitor in real-time
goby monitor --real-time --interval 5

# Generate report
goby report --type comprehensive --output report.html

Automation Example

#!/bin/bash
# Automated goby workflow

# Configuration
TARGETS_FILE="targets.txt"
RESULTS_DIR="results/$(date +%Y-%m-%d)"
CONFIG_FILE="automation.yaml"

# Create results directory
mkdir -p "$RESULTS_DIR"

# Process each target
while IFS= read -r target; do
    echo "Processing $target..."

    goby \
        --config "$CONFIG_FILE" \
        --output json \
        --output-file "$RESULTS_DIR/$\\\\{target\\\\}.json" \
        run "$target"

done < "$TARGETS_FILE"

# Generate summary report
goby report summary \
    --input "$RESULTS_DIR/*.json" \
    --output "$RESULTS_DIR/summary.html"

Best Practices

Security

  • Always verify checksums when downloading binaries
  • Use strong authentication methods (API keys, certificates)
  • Regularly update to the latest version
  • Follow principle of least privilege
  • Enable audit logging for compliance
  • Use encrypted connections when possible
  • Validate all inputs and configurations
  • Implement proper access controls

Performance

  • Use appropriate resource limits for your environment
  • Monitor system performance regularly
  • Optimize configuration for your use case
  • Use parallel processing when beneficial
  • Implement proper caching strategies
  • Regular maintenance and cleanup
  • Profile performance bottlenecks
  • Use efficient algorithms and data structures

Operational

  • Maintain comprehensive documentation
  • Implement proper backup strategies
  • Use version control for configurations
  • Monitor and alert on critical metrics
  • Implement proper error handling
  • Use automation for repetitive tasks
  • Regular security audits and updates
  • Plan for disaster recovery

Development

  • Follow coding standards and conventions
  • Write comprehensive tests
  • Use continuous integration/deployment
  • Implement proper logging and monitoring
  • Document APIs and interfaces
  • Use version control effectively
  • Review code regularly
  • Maintain backward compatibility

Resources

Official Documentation

Community Resources

Learning Resources

  • Git - Complementary functionality
  • Docker - Alternative solution
  • Kubernetes - Integration partner

Last updated: 2025-07-06|Edit on GitHub