https://github.com/alich03/docker-flask
Integration of Docker Container with Datadog.Docker Compose, Dockerfile and Testing Script
https://github.com/alich03/docker-flask
docker docker-compose flask python
Last synced: 6 months ago
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Integration of Docker Container with Datadog.Docker Compose, Dockerfile and Testing Script
- Host: GitHub
- URL: https://github.com/alich03/docker-flask
- Owner: alich03
- Created: 2024-09-06T13:31:12.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2024-09-11T09:58:19.000Z (almost 2 years ago)
- Last Synced: 2025-02-11T17:13:56.667Z (over 1 year ago)
- Topics: docker, docker-compose, flask, python
- Language: Jupyter Notebook
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Integration of Docker Container with Datadog
### Testing Method
✅[Install the Docker Compose](https://docs.docker.com/compose/install/)\
✅Clone my respository\
✅Update your `DD_API_KEY`and `DD_SITE` in `docker-compose.yml`\
✅Run all containers with `docker-compose up`
### Docker Compose, Dockerfile and Testing Script
A simple `docker-compose.yml` file is shown as:
```yaml
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= # Replace with your actual Datadog API key
- DD_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= # 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:
```yaml
FROM ubuntu:20.04
RUN apt update && apt install software-properties-common -y
RUN apt install python3 -y && apt install python3-pip -y
RUN pip install numpy pandas matplotlib seaborn flask
RUN pip install flask_cors
WORKDIR test_app
COPY . .
ENV FLASK_RUN_HOST=0.0.0.0
RUN apt install software-properties-common
EXPOSE 5000
# CMD ["python3","app.py"]
# WORKDIR
# ENV
# COPY
# ADD
```
A simple `testing_script.py` is shown as:
```py
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()
```