✅Install the Docker Compose
✅Clone my respository
✅Update your DD_API_KEYand DD_SITE in docker-compose.yml
✅Run all containers with docker-compose up
A simple docker-compose.yml file is shown as:
version: "3" # Define the version of the Docker Compose file format
services:
# Datadog agent service configuration
datadog-agent:
image: datadog/agent:latest # Use the latest Datadog agent image
container_name: datadog-agent # Set a custom name for the container
environment: # Environment variables for the Datadog agent
- DD_API_KEY=<YOUR API KEY> # Replace with your actual Datadog API key
- DD_SITE=<YOUR SITE> # Datadog site to send data to (e.g., US, EU)
- DD_LOGS_ENABLED=true # Enable log collection in the Datadog agent
- DD_LOGS_CONFIG_CONTAINER_COLLECT_ALL=true # Collect logs from all containers
- DD_APM_ENABLED=true # Enable APM (Application Performance Monitoring)
- DD_PROCESS_AGENT_ENABLED=true # Enable the process agent for monitoring
volumes: # Mount system directories for Docker and host monitoring
- /var/run/docker.sock:/var/run/docker.sock:ro # Read-only access to Docker socket for container monitoring
- /proc/:/host/proc/:ro # Read-only access to host's proc directory
- /sys/fs/cgroup/:/host/sys/fs/cgroup:ro # Read-only access to host's cgroup directory
platform: linux/amd64 # Set the platform to linux/amd64 for compatibility
# Python application service configuration
python-app:
build: # Build configuration for the Python app service
context: . # Set the build context to the current directory
dockerfile: Dockerfile # Specify the Dockerfile to use for building the image
depends_on: # Specify dependencies for this service
- datadog-agent # Ensure that the Datadog agent starts before this service
environment: # Environment variables for the Python app
- DD_AGENT_HOST=datadog-agent # Set the Datadog agent host for the app to send metrics to
- DD_SITE=<YOUR SITE> # Replace with your actual Datadog site (e.g., datadoghq.com, datadoghq.eu)
platform: linux/amd64 # Set the platform to linux/amd64 for compatibility
A simple Dockerfile file is shown as:
# Using Python 3.12-slim as the parent image
FROM python:3.12-slim
# ------------------------------------------------------------------
# Set the working directory
WORKDIR /app
# ------------------------------------------------------------------
# Copy the Python script into the container
COPY app.py .
# ------------------------------------------------------------------
# Run the Python script
CMD ["python", "testing_script.py"]
# ------------------------------------------------------------------
A simple testing_script.py is shown as:
import time
import logging
# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
def main():
while True:
logger.info('This is an info message')
time.sleep(5)
if __name__ == "__main__":
main()