Datadog

Comprehensive datadog commands and usage patterns for efficient workflow management.

Overview

Datadog is a powerful tool for various operations and system management. This cheat sheet covers essential commands, configuration options, and best practices.

Installation

Linux/Ubuntu

# Package manager installation
sudo apt update
sudo apt install datadog

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

macOS

# Homebrew installation
brew install datadog

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

Windows

# Chocolatey installation
choco install datadog

# Scoop installation
scoop install datadog

# Manual installation
# Download from official website and add to PATH

Basic Commands

Command	Description
`datadog --help`	Display help information
`datadog --version`	Show version information
`datadog init`	Initialize datadog in current directory
`datadog status`	Check current status
`datadog list`	List available options
`datadog info`	Display system information
`datadog config`	Show configuration
`datadog update`	Update to latest version

Essential Operations

Getting Started

# Initialize datadog
datadog init

# Basic usage
datadog run

# With verbose output
datadog --verbose run

# With configuration file
datadog --config config.yaml run

Configuration

# View configuration
datadog config show

# Set configuration option
datadog config set key value

# Get configuration value
datadog config get key

# Reset configuration
datadog config reset

Advanced Operations

# Debug mode
datadog --debug run

# Dry run (preview changes)
datadog --dry-run run

# Force operation
datadog --force run

# Parallel execution
datadog --parallel run

File Operations

Command	Description
`datadog create <file>`	Create new file
`datadog read <file>`	Read file contents
`datadog update <file>`	Update existing file
`datadog delete <file>`	Delete file
`datadog copy <src> <dst>`	Copy file
`datadog move <src> <dst>`	Move file

Network Operations

# Connect to remote host
datadog connect host:port

# Listen on port
datadog listen --port 8080

# Send data
datadog send --data "message" --target host

# Receive data
datadog receive --port 8080

Security Features

Authentication

# Login with credentials
datadog login --user username

# Logout
datadog logout

# Change password
datadog passwd

# Generate API key
datadog generate-key

Encryption

# Encrypt file
datadog encrypt file.txt

# Decrypt file
datadog decrypt file.txt.enc

# Generate certificate
datadog cert generate

# Verify signature
datadog verify file.sig

Troubleshooting

Common Issues

Issue: Command not found

# Check if installed
which datadog

# Reinstall if necessary
sudo apt reinstall datadog

Issue: Permission denied

# Run with sudo
sudo datadog command

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

Issue: Configuration errors

# Reset configuration
datadog config reset

# Validate configuration
datadog config validate

Debug Commands

Command	Description
`datadog --debug`	Enable debug output
`datadog --verbose`	Verbose logging
`datadog test`	Run self-tests
`datadog doctor`	Check system health

Best Practices

Security

Always verify checksums when downloading
Use strong authentication methods
Regularly update to latest version
Follow principle of least privilege

Performance

Use appropriate buffer sizes
Monitor resource usage
Optimize configuration for your use case
Regular maintenance and cleanup

Maintenance

# Update datadog
datadog update

# Clean temporary files
datadog clean

# Backup configuration
datadog backup --config

# Restore from backup
datadog restore --config backup.yaml

Integration

Scripting

#!/bin/bash
# Example script using datadog

if ! command -v datadog &> /dev/null; then
    echo "datadog is not installed"
    exit 1
fi

if datadog run; then
    echo "Success"
else
    echo "Failed"
    exit 1
fi

API Integration

import subprocess
import json

def run_datadog(command):
    try:
        result = subprocess.run(['datadog'] + command.split(),
                              capture_output=True, text=True)
        return result.stdout
    except Exception as e:
        print(f"Error: \\\\{e\\\\}")
        return None

Environment Variables

Variable	Description	Default
`DATADOG_CONFIG`	Configuration file path	`~/.datadog/config`
`DATADOG_HOME`	Home directory	`~/.datadog`
`DATADOG_LOG_LEVEL`	Logging level	`INFO`
`DATADOG_TIMEOUT`	Operation timeout	`30s`

Configuration File

# ~/.datadog/config.yaml
version: "1.0"
settings:
  debug: false
  timeout: 30
  log_level: "INFO"

network:
  host: "localhost"
  port: 8080
  ssl: true

security:
  auth_required: true
  encryption: "AES256"

Examples

Basic Workflow

# 1. Initialize
datadog init

# 2. Configure
datadog config set host example.com

# 3. Run operation
datadog run

# 4. Check results
datadog status

# 5. Cleanup
datadog clean

Advanced Workflow

# Comprehensive operation
datadog run \
  --config production.yaml \
  --parallel \
  --verbose \
  --timeout 300

# Monitoring
datadog monitor \
  --interval 60 \
  --alert-threshold 80

Resources

Official Documentation

Community

Tutorials

Last updated: 2025-07-05