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Klara Systems
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Previos video with Allan Understanding ZFS in the Real World: Mistakes Made, Lessons Learned & Future Plans
https://youtu.be/OscKOZ5nxxA?si=qbx23a9sQCpCZzQC
Why You Can’t Trust AI to Tune ZFS
https://klarasystems.com/articles/why-you-cant-trust-ai-to-tune-zfs/
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Chapters
00:00 – Intro: Tom & Allan Jude on ZFS + NVMe
00:45 – ZFS Origins & Early Hard Drive Constraints
01:30 – Copy-on-Write, Batch Writes, and HDD Limits
03:07 – Free Space Fragmentation and Pool Full Behavior
04:38 – Gang Blocks, Sector Size Changes, and Modernization
06:20 – Logical Block Addressing & Compatibility Layers
07:20 – Flash Translation Layers in SSDs & NVMe
08:18 – SMR vs NVMe Parallels and Alignment Costs
09:09 – Device-Specific Tuning Challenges in ZFS
09:58 – SSD Garbage Collection, TRIM, and Write Stalls
10:52 – Write Aggregation, Prefetch, and Queue Management
11:37 – NVMe Latency, Microsecond Ops & Outpacing ZFS Logic
14:20 – Real-World NVMe Workloads (Media, IOPS, Databases)
15:55 – ZFS Roadmap: Optimizations, Auto-Tuning, and Use Cases
17:25 – Detecting Device Types: HDD, SSD, NVMe, NVMe-oF
20:53 – Solid state challenges with Error Correction
22:09 – Block Pointer Trees, Verification, and NAND Reliability
24:10 – Compression Limits & Embedded Block Pointers
25:48 – Per Drive Uber Blocks and Labels
30:09 – Storage with CXL
31:42 – Tiered Storage: NVMe, SSD, HDD, Tape, and Cloud
32:35 – Emerging Features and Community Involvement
33:02 – ZFS O_DIRECT Application Cache
36:00 – Media Demands Driving ZFS Development
37:38 – ZFS at Scale: CERN, Lawrence Livermore, SCIENCE!
