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Why You Can’t Trust AI to Tune ZFS

Why you can't trust AI to tune ZFS

Can AI tune ZFS? We tested one of the most advanced language models on ZFS performance questions—and the results were dangerously misleading. From outdated defaults to incorrect assumptions about system behavior, this article breaks down where LLMs go wrong, and why trusting AI with ZFS tuning could lead to serious performance issues or even data loss.

Accurate and Effective Storage Benchmarking

A detailed storage performance benchmark in progress, analyzing system throughput, latency, and bottlenecks to ensure accurate and reliable performance testing.

A well-designed storage performance benchmark provides meaningful insights into system capabilities, but inaccurate methods can lead to misleading conclusions. This guide breaks down how to define scope, design realistic tests, verify results, and ensure repeatability for reliable benchmarking. Learn how to avoid common pitfalls and measure storage performance with confidence.

Key Considerations for Benchmarking Network Storage Performance

Cover image for the article: Key Considerations for Benchmarking Network Storage Performance

When measuring network storage performance, it’s essential to account for factors like protocols, workloads, and testing tools. SMB, NFS, and iSCSI each bring unique strengths and challenges to the table. Learn how to optimize your NAS setup for accurate and meaningful benchmarking results.

ZFS Storage Fault Management on Linux

DragonFly BSD: Sendmail Replacement in FreeBSD 14

Hardware failures are unavoidable, but ZFS fault management ensures your data stays secure. From detecting disk issues to automated recovery and performance optimization, discover how ZFS keeps your storage resilient and ready for the unexpected.