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Kong

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

Basic Commands

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

Installation

Linux/Ubuntu

# Package manager installation
sudo apt update
sudo apt install kong

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

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

macOS

# Homebrew installation
brew install kong

# MacPorts installation
sudo port install kong

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

Windows

# Chocolatey installation
choco install kong

# Scoop installation
scoop install kong

# Winget installation
winget install kong

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

Configuration

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

Advanced Operations

File Operations

# Create new file/resource
kong create <name>

# Read file/resource
kong read <name>

# Update existing file/resource
kong update <name>

# Delete file/resource
kong delete <name>

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

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

# List all files/resources
kong list --all

# Search for files/resources
kong search <pattern>

Network Operations

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

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

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

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

# Test connectivity
kong ping <host>

# Scan network range
kong scan <network>

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

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

Process Management

# Start background process
kong start --daemon

# Stop running process
kong stop --force

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

# Check process status
kong status --verbose

# Monitor process performance
kong monitor --metrics

# Kill all processes
kong killall

# Show running processes
kong ps

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

Security Features

Authentication

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

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

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

# Logout current session
kong logout

# Change password
kong passwd

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

# List active sessions
kong sessions

# Revoke session
kong revoke --session <session_id>

Encryption

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

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

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

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

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

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

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

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

Monitoring and Logging

System Monitoring

# Monitor system resources
kong monitor --system

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

# Monitor network activity
kong monitor --network

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

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

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

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

# View monitoring history
kong history --type monitoring

Logging

# View logs
kong logs

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

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

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

# Rotate logs
kong logs --rotate

# Export logs
kong logs --export <file>

# Clear logs
kong logs --clear

# Archive logs
kong logs --archive <archive_file>

Troubleshooting

Common Issues

Issue: Command not found

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

# Check PATH variable
echo $PATH

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

Issue: Permission denied

# Run with elevated privileges
sudo kong <command>

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

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

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

Issue: Configuration errors

# Validate configuration
kong config validate

# Reset to default configuration
kong config reset

# Check configuration file location
kong config show --file

# Backup current configuration
kong config export > backup.conf

# Restore from backup
kong config import backup.conf

Issue: Service not starting

# Check service status
kong status --detailed

# Check system logs
journalctl -u kong

# Start in debug mode
kong start --debug

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

# Kill conflicting processes
kong killall --force

Debug Commands

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

Performance Optimization

Resource Management

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

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

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

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

# Clear cache
kong cache clear

# Show cache statistics
kong cache stats

# Optimize performance
kong optimize --profile <profile>

# Show performance metrics
kong metrics

Parallel Processing

# Enable parallel processing
kong --parallel <command>

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

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

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

Integration

Scripting

#!/bin/bash
# Example script using kong

set -euo pipefail

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

# Check if kong is available
if ! command -v kong &> /dev/null; then
    echo "Error: kong 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 kong operation"

    if kong --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"
    kong 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
KONG_CONFIG Configuration file path ~/.kong/config.yaml
KONG_HOME Home directory ~/.kong
KONG_LOG_LEVEL Logging level INFO
KONG_LOG_FILE Log file path ~/.kong/logs/kong.log
KONG_CACHE_DIR Cache directory ~/.kong/cache
KONG_DATA_DIR Data directory ~/.kong/data
KONG_TIMEOUT Default timeout 30s
KONG_MAX_WORKERS Maximum workers 4

Configuration File

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

# General settings
settings:
  debug: false
  verbose: false
  log_level: "INFO"
  log_file: "~/.kong/logs/kong.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: "~/.kong/cache"
  max_memory: "1G"

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

Examples

Basic Workflow

# 1. Initialize kong
kong init

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

# 3. Start service
kong start

# 4. Check status
kong status

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

# 6. View results
kong results

# 7. Stop service
kong stop

Advanced Workflow

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

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

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

Automation Example

#!/bin/bash
# Automated kong 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..."

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

done < "$TARGETS_FILE"

# Generate summary report
kong 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