Automating ZFS snapshots no longer has to be time-consuming or complex. This Python-based CLI tool simplifies snapshot creation, deletion, verification, and reporting through a clean REST API workflow. Built for storage engineers, it streamlines daily operations, supports migration tasks, and integrates smoothly into backup and monitoring systems.
Learn how I built a Python-based Oracle ZFS Filesystems Reporter that uses REST APIs, Vault, and pandas to automate filesystem inventory, simplify reporting, and integrate storage data into engineering workflows.
The XCP Data Extraction Tool automates the parsing and transformation of verbose NetApp XCP scan reports into clean, structured data formats. Designed for storage administrators and data analysts, this tool eliminates hours of manual report analysis by extracting filesystem metadata, access patterns, ownership information, and storage metrics into Excel-ready CSV files and API-friendly JSON outputs.
If you’re managing a data center or cloud infrastructure, you know that storage administration can be one of the most time-consuming aspects of your job. Manual configuration of storage systems is not only tedious but prone to human error. When it comes to critical storage infrastructure like NetApp clusters, even small misconfiguration can lead to significant issues.
As a systems engineer or DevOps professional, staying ahead of disk failures is critical. Manual intervention doesn’t scale—and that’s where automation comes in.
Managing inode allocation is critical in preventing storage volumes from hitting capacity and ensuring optimal performance.