Plan the DG Micro directory structure
Organizing your Linux file system for DG Micro assets requires a clear separation of concerns. A flat directory becomes unmanageable quickly as raw sensor data, processed models, and system logs accumulate. Establishing a hierarchical structure early prevents permission errors and simplifies backup routines for distributed generation data.
Create a dedicated base directory, such as /var/lib/dg-micro. Inside this root, establish three distinct subdirectories: raw, processed, and logs. The raw folder stores unmodified input from sensors or controllers. The processed directory holds cleaned data or generated reports. The logs folder captures system events, ensuring that verbose debugging output does not clutter your primary data storage.
This separation allows you to apply specific permissions to each folder. For instance, the raw directory might require write-only access for automated scripts, while processed data could be readable by analytics tools. Keeping logs separate ensures that disk space monitoring remains accurate, preventing log rotation issues from interfering with asset storage.

Set permissions for DG Micro files
Configuring secure access controls is the first line of defense for your DG Micro assets. By default, Linux systems may leave configuration files readable by any user on the network. This exposure allows unauthorized users to view sensitive topology data or modify critical settings, potentially destabilizing the entire microgrid.
We will use chmod to restrict file permissions and chown to assign ownership to the correct system user. This ensures that only the DG Micro service account and root administrators can interact with the core files.
These steps lock down the file system layer, complementing network-level security. Regularly audit these permissions, especially after software updates, to maintain a secure DG Micro environment.
Automate DG Micro file backups
Backing up distributed generation (DG) Micro assets requires a strategy that balances frequency with storage efficiency. Since these systems often run on Linux, you can leverage rsync for incremental transfers and cron for scheduling. This combination ensures your configuration files, logs, and critical data are preserved without consuming excessive disk space or network bandwidth.
The goal is to create a silent, reliable pipeline that runs in the background. We will set up a local backup directory, configure rsync to mirror only changed files, and schedule the task to run during off-peak hours.
Pre-Flight Checklist
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Backup destination directory exists with correct permissions.
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rsync command tested manually with no errors.
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Cron job added and verified in crontab -l.
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Log file location defined and writable.
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Retention policy configured to manage disk space.
Monitor DG Micro processes and logs
Tracking the health of distributed generation assets requires a clear view of system activity. On Linux, this means keeping a close eye on the processes running your DG Micro services and the logs they generate. This section covers the essential commands to verify service status and analyze performance data.
Verify service status with systemctl
The first step is confirming that your DG Micro services are active and running. Use systemctl to check the status of specific units. This command provides a quick overview of uptime, recent start/stop events, and any immediate errors.
systemctl status dg-micro-core.service
systemctl status dg-micro-monitor.service
If a service is inactive or failed, the output will show the exit code and the last few lines of the journal. This immediate feedback loop helps you identify if a crash occurred during startup or if the service stopped unexpectedly.
Analyze logs with journalctl
For deeper insights, journalctl is your primary tool. It aggregates logs from the system journal, allowing you to filter by service, priority, and time. This is particularly useful for tracking performance spikes or error patterns over time.
To view logs for a specific service from the last 24 hours, use:
journalctl -u dg-micro-core.service --since "24 hours ago"
You can also filter by log level to focus on warnings or errors:
journalctl -u dg-micro-core.service -p warning
Check process resource usage
Monitoring CPU and memory usage is critical for ensuring your DG Micro processes don’t consume excessive resources. Use top or htop to view real-time process statistics. Look for processes with high CPU percentages or memory usage, which might indicate a memory leak or a bottleneck.
For a more automated approach, you can use ps to list processes sorted by memory usage:
ps aux --sort=-%mem | grep dg-micro
This command filters the process list to show only DG Micro-related processes, sorted by memory consumption. This helps you quickly identify if any single process is consuming an disproportionate amount of resources.
Automate log rotation and retention
Logs can grow quickly, especially in high-traffic microgrid environments. Ensure journald is configured to rotate logs and limit disk usage. Edit /etc/systemd/journald.conf to set SystemMaxUse and MaxRetentionSec.
[Journal]
SystemMaxUse=500M
MaxRetentionSec=1week
After updating the configuration, restart the journald service to apply changes:
systemctl restart systemd-journald
This ensures that logs are automatically rotated and old entries are discarded, preventing disk space issues while retaining recent history for troubleshooting.
Managing DG Micro Assets on Linux
This section addresses frequent questions about handling distributed generation assets on Linux systems. The focus is on security, automation, and file management for DG Micro infrastructure.
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