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In container management, it is important to consider:
- Isolation and security: containers should be isolated from each other and from the host to prevent conflicts and vulnerabilities.
- Resource management: limiting CPU, memory, and disk space to prevent overload.
- Monitoring and logging: collecting metrics and logs to monitor the state and respond quickly to issues.
- Updates and scaling: the ability to quickly update containers and scale services based on load.
- Data storage: using volumes to store data outside the container to prevent data loss during restarts.
- Automation: using orchestrators (like Kubernetes) to manage the lifecycle of containers.
These aspects help ensure stability, security, and ease of operation of containerized applications.