8.1 Separation of Data and Code
Storing data separately from the application code improves organization and data management. It also allows you to update and deploy your app without touching the data.
Recommendations:
- Use volumes for data: store all application data in volumes.
- Keep configurations separate: split configuration files and data to make them easier to manage.
Example of separating data and code:
version: '3.8'
services:
app:
image: myapp:latest
volumes:
- app_data:/var/lib/myapp/data
- app_config:/etc/myapp/config
volumes:
app_data:
app_config:
8.2 Ensuring Data Security
Protecting data from unauthorized access and leaks is a top priority. Docker provides several tools and methods to ensure data security.
Data Security Recommendations:
Use Docker Secrets: store sensitive data like passwords and API keys with Docker Secrets.
echo "mysecretpassword" | docker secret create db_password -
docker service create --name postgres --secret db_password -e
POSTGRES_PASSWORD_FILE=/run/secrets/db_password postgres
Data Encryption: use encryption to protect data at rest and in transit.
Access Control: configure proper access rights and policies for containers and volumes.
8.3 Monitoring and Managing Data
Monitoring the state of data and managing its usage helps prevent issues and ensures stable application performance.
Tools for Monitoring:
- Prometheus and Grafana: use Prometheus to collect metrics and Grafana for visualizing them.
- Portainer: a web interface for managing Docker that provides tools for monitoring and managing containers, volumes, and networks.
Scalability and Fault Tolerance
Ensuring data scalability and fault tolerance is a crucial aspect for production systems.
Recommendations:
- Data Replication: use data replication mechanisms to improve fault tolerance.
- Scalable Storage: consider using distributed storage systems like Ceph or GlusterFS for storing data.
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