Enhanced Storage Management and Automated Adjustments - Release v1.1.0

What's Changed

• Implemented data preparation and preprocessing for storage metrics.
• Introduced model training for each logical volume using LSTM recurrent networks.
• Enabled prediction generation after retrieving data from the database.
• Enhanced allocation logic: calculated volume allocation based on mean proportion of the LV in VG, priority weighting, and the allocation factor (Demand-to-Space ratio).
• Integrated Ansible playbooks for automated data extraction from target clients (virtual machines or servers), capturing LVs, VGs, PVs, and filesystems information.
• Automated adjustments on logical volumes and filesystems using Ansible playbooks, ensuring optimized storage management and resource allocation.
• Supported filesystems including ext2, ext3, ext4, vfat, btrfs (experimental), f2fs, xfs (experimental) with enhanced compatibility and performance.
• Updated documentation and README with detailed feature descriptions, usage instructions, and examples.

New Contributors

• @hamza-hadj-aissa made their first contribution in #1

Full Changelog: https://github.com/hamza-hadj-aissa/lvm_balancer/commits/v1.1.0