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    • olivierlambertO

      🛰️ XO 6: dedicated thread for all your feedback!

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      @julienXOvates ah, ok...that makes sense re: vGPU And that's great to hear about V2V. I wanna say I can't believe Broadcom did that....but yet, that's all they've been doing the past 2yrs is "hosing" their customer base so it's not surprising. Looking fwd to seeing what you all come up with.
    • stormiS

      XCP-ng 8.3 updates announcements and testing

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      @gduperrey Installed on all pools. No issues so far.
    • F

      XOA 6.8 causes backup / replication failure

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      florentF
      @acebmxer we are far more explicit on the real usage of NBD, paing the way to mark a failed NBD connexion as an error in a few month also working on a diagnostic tool to be more efficient on the checks thank you all for your time
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      Backup fails with "Body Timeout Error", "all targets have failed, step: writer.run()"

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      poddingueP
      Thanks a lot for your feeback, folks!
    • A

      VDI export to VMDK results in a corrupted disk

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      @Emmanuel-V In my opinion, it would make more sense if a standalone disk exported in VMDK format were exported directly as monolithicSparse, so that it would not need to be converted. This makes more sense to me because when only the disk is exported, rather than the entire VM (OVA), it can be assumed that the disk will be attached directly to some VM.
    • J

      Troubleshooting "TCP: out of memory" - Possible memory leak?

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      poddingueP
      Forwarded to the right team, thanks!
    • A

      Error: Can't init vhd directory without using alias

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      @pierrebrunet Tested and working again, thanks
    • J

      Not sure if its XOStor but ... VDIs disappearing

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      @poddingue Okay, we're back here. I was told I have a hung CIFS mount that no longer exists, so a host needs to reboot to clear it, and faulty XOSTOR resources. But I can't reboot the host until I can move VMs off. Is there any indication of how to repair the faulty XOSTOR resources so I can move the VMs and reboot the host? Thanks for taking a look.
    • ForzaF

      Migrating an offline VM disk between two local SRs is slow

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      @olivierlambert said: Follow-up on the questions left open in this thread. Three things came out differently from what I said above, so corrections first, and my earlier headline numbers need revising upward. My earlier ratios were too low: the rig was the bottleneck Everything I posted before ran NVMe to NVMe, where the destination disk saturates around 250 to 300 MB/s and degrades as it fills. That capped the faster arms, arm C worst of all. Rebuilt with RAM-backed SRs on both hosts, no storage ceiling, full four-arm matrix on one rig, 3 runs per arm, interleaved. arm build MiB/s range vs stock stalls B/seg A stock control 71.3 71.2-71.4 1.00x 78.3% 1441.6 B TCP_NODELAY only +socket 303.8 303.1-305.0 4.26x 1.5% 1426.6 C NODELAY + pipelining both 526.6 522.8-528.5 7.39x 1.1% 1425.7 D pipelining only +pipeline 528.3 523.0-531.9 7.41x 16.1% 1442.0 [image: af369410-36dc-4a28-b822-35a00f7098f3-image.jpeg] Per-arm spread is 0.3% to 1.7%. The full stack is worth 7.4x, not 5.51x, and TCP_NODELAY alone is worth 4.26x, not 2.80x. The two changes are substitutes, not complements: TCP_NODELAY alone: 4.26x pipelining alone: 7.41x both together: 7.39x So: Pipelining alone captures the whole win. Adding the socket option on top of it is 0.997x, with overlapping ranges. Nothing. The reverse is not true: pipelining on top of NODELAY is still worth 1.73x. NODELAY does not substitute for pipelining. Pipelining substitutes for NODELAY, on throughput. [image: 2ab335d6-fe4b-4019-a8f9-c32d12e971bd-image.jpeg] What the socket option still does after pipelining is remove the stall, 16.1% of samples down to 1.1%, for 1.14% more segments. On this rig that buys no throughput. See the RTT caveat before writing it off. Correction 1: I said Chunked might regress. It does. xe vdi-copy between two host-local SRs, 100 GiB, interleaved A/B/A/B. @TeddyAstie was right. arm transfer data_segs_out B/seg stalls A control 442.1 s 74,746,948 1438.5 0.0% A2 control 439.4 s 74,677,058 1439.9 0.0% B NODELAY 449.5 s 75,205,400 1430.1 0.0% B2 NODELAY 455.5 s 75,260,858 1428.7 0.0% [image: 872deeb0-4514-4f82-96c0-ca3f96564f07-image.jpeg] Both controls beat both patched runs with no overlap, so this is not drift. TCP_NODELAY costs +2.7% wall clock and +0.70% segments here, and buys nothing. Nothing, because the stall it fixes does not occur on this path: Sub-MSS stalls are 0.0% in every arm, including the unpatched control. Chunked writes a 12 byte header then data, with no per-request reply. So the send queue stays backed up (median notsent about 3.3 MB, rwnd_limited 99.7%). Nagle never faces a small-segment decision. Packing is already 0.993x MSS before the patch. Where the extra packets come from, and it is not mainly the headers: The disk is fully allocated, so expand_copy (f.ml:2745) splits at its 2 MiB cap: 51,200 chunks. That is only 9.8% of the 521,126 extra segments. The rest is TLS record boundaries. The channel is unbuffered (channels.ml:129), so each 16 KiB TLS record is its own 16,413 byte write, 11.33x MSS, leaving a sub-MSS remainder. With Nagle those coalesce with the next record. With NODELAY they go out uncoalesced whenever the send queue drains. strace confirms both shapes: 41 byte writes are the headers (12 plus 29 of AES-GCM), 16,413 byte writes are the bulk records. Data is correct either way: the patched copy md5s identical to the source, ce647d9436b48401cd4b489c955ef0f7. Protocol confirmed two ways, for anyone reproducing: An https destination not advertising transfer-encoding: nbd yields [Chunked; NoProtocol] (impl.ml:1084), and the code takes List.hd. At runtime the receiver runs vhd-tool serve --source-format raw --source-protocol chunked --source-fd 8. Correction 2: my reasoning for "NODELAY is a no-op after pipelining" was wrong I said that with 8 requests in flight there is almost always an MSS queued, so the sub-MSS condition rarely arises. Not what happens. Arm D is pipelining with the socket patch removed, and it still stalls on 16.1% of samples against 1.1% with it. Depth 8 does not keep the queue above MSS. The conclusion survives, the reasoning does not: NODELAY after pipelining gives no throughput gain because the stall stops being the limiting factor, not because the stall goes away. Correction 3: the export path needs nothing Export runs stream_raw (impl.ml:335) : export_raw_vdi.ml:56 passes "none" as the destination protocol. No headers, no replies, so no write-write-read pattern. The patch could not cover it anyway: --destination-fd becomes fd://N, then File_descr, then Channels.of_raw_fd (impl.ml:991), never touching the socket helper. It does not need to. http_svr.ml:624 already sets TCP_NODELAY on the listening socket and Linux passes it to accepted sockets. Verified on the 4.19 kernel these hosts run, with a listener without the option as a control returning 0. stunnel sets it independently too (xapi_stunnel_server.ml:66-68). The cost of TCP_NODELAY, every test we ran path Nagle on TCP_NODELAY cost NBD 107 GiB, NVMe 1441.7 (0.996x MSS) 1425.2 (0.984x) +1.16% segments NBD pipelined, RAM 1442.0 (0.996x) 1425.7 (0.984x) +1.14% segments NBD 6-pair repeat, RAM 1441.9 (0.996x) 1424.6 (0.984x) +1.20% segments Chunked 100 GiB 1438.5-1439.9 (0.993x) 1428.7-1430.1 (0.988x) +0.70% segments [image: 865bccc1-8e7e-4948-b329-50ad84a56e25-image.jpeg] About 1.2% more segments, reproducible to three digits across four independent experiments. Small, and it is the real permanent cost of the option. Where the ceiling is now At 7.4x we are at about 525 MiB/s, and it is not the obvious things: Not the network: 10G link, roughly 46% utilised. Not the sender: sparse_dd at mean 57%, peak 64% of one core. On the receiving host, tapdisk is roughly 72% of all busy CPU (python3 9%, xapi 6%, stunnel 6%). That sample spans more than one leg and sums several tapdisk processes, so read it as dominance rather than a precise figure. It is where we would look next. Our reading Both changes are worth having, they are independent, and they are not additive, so the order is a real decision. TCP_NODELAY Strongest argument is precedent, not the benchmark: vhd-tool is the only NBD client in the toolstack that leaves Nagle on. QEMU sets it unconditionally (nbd/client-connection.c:143) and forwards it through TLS. blktap treats failing to set it as fatal (drivers/block-nbd.c:793). xapi and stunnel both set it. 12 lines, 4.26x on code that ships today. Costs, now measured rather than assumed: about 1.2% more segments everywhere, and 2.7% wall clock on vdi-copy between two host-local SRs where it gains nothing. Pipelining 7.41x on its own, and it makes the socket option irrelevant to throughput. Less work than it looks: the multiplexer already exists and is unused (nbd/lib/client.ml:78), so this is not the NBD redesign it first appears to be. The real obstacle is buffer ownership. expand_copy hands out slices of one shared 2 MiB buffer, so a naive pipeline silently corrupts data while reporting success. Our prototype works around it with a local buffer pool and a memcpy per block. The proper fix belongs inside expand_copy in f.ml, a shared library with other consumers. The prototype is not mergeable as it stands: progress counts issued rather than completed work, and a failed write leaves its siblings unawaited. We will follow whichever route the XAPI team prefers and are happy to do the work either way. Our own order would be the socket option first, then pipelining done properly rather than our prototype. That is a sequencing preference, not a claim that the gains compose. If you would rather go straight to pipelining and skip the socket change, our data supports that: it reaches 7.41x on its own. One caveat that cuts in favour of the socket option, and our rig cannot measure it: Every number here is from a 0.2 ms RTT link. The Nagle stall costs a delayed-ACK round trip, so its cost scales with RTT. 0.2 ms is therefore the regime least favourable to fixing it. On a higher-RTT link (cross-rack, cross-site, DR replication) the same 16.1% stall rate that costs nothing here should cost real throughput. So read 4.26x as a floor for TCP_NODELAY, and "pipelining makes it redundant" as a statement about short links specifically. We have not measured a long-RTT link and would like to hear from anyone who has. Open questions Is the 2.7% on vdi-copy acceptable, or should the option be scoped to NBD? Unconditional is simpler and matches every other component. Scoping avoids a measured regression on a path that cannot benefit. Is the Chunked header worth batching regardless? It is a separate unbuffered 12 byte write before every chunk, which under TLS becomes its own 41 byte record. Writing header and payload together removes that independently of any socket option, and helps the Nagle-on case too. Should expand_copy own a buffer pool? Any pipelining implementation needs it. Fixing it in f.ml fixes it for every consumer, but that is a wider blast radius than we wanted to take unilaterally. Is the receiving tapdisk the next real ceiling? At 7.4x the sender and the network both still have headroom and tapdisk dominates destination CPU. We have not dug into why. Does the picture change on a high-RTT or faster link? Both conclusions, that NODELAY is worth 4.26x and that pipelining makes it redundant, are properties of a short fast link that never saturated. Rig Two host XCP-ng 8.3 pool, xapi 26.1.16, 10G, 0.2 ms RTT. Arms differ by exactly one setsockopt where relevant, same tree and toolchain. Every run verified by binary sha256 before it started, transfers checksum verified. RAM SRs are ext4 on a brd ramdisk. tmpfs does not work: no O_DIRECT, so VDIs can be written onto such an SR but never migrated back off. Excellent work. IMHO, disabling Nagle's algorithm is the best and least risky option. Application code paths and protocol behaviour stays exactly the same, except for the socket option. For a very risk free change we gain a lot or performance in a known bottleneck. Pipelining exposes a new code path which needs more debugging and verification before it should be deployed, especially in a LTS situation. Speaking as a paying enterprise customer, stability and predictably is important to us. Therefore I propose that the short-term solution is to disable Nagle's algorithm and ship it in the current LTS release as a normal bug fix. Then, in a longer term, develop the Pipelining option and ensure it get proper testing and verification before release, particularly if backporting it to current LTS.
    • CyrilleC

      Xen Orchestra Container Storage Interface (CSI) for Kubernetes

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      CyrilleC
      @koushik you have to use the Helm controller addons for RKE2 to deploy autmatically the Helm chart for the Xen Orchestra CCM with the field spec.bootstrap set to true: Field | Default | Description -------------------------------------------------- `spec.bootstrap` | `false` | Set to True if this chart is needed to bootstrap the cluster (Cloud Controller Manager, etc) EDIT: I wrote a wiki page with what I've tested https://github.com/vatesfr/xenorchestra-cloud-controller-manager/wiki/Rancher-RKE2
    • acebmxerA

      Install XO from sources.

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      acebmxerA
      Small update — I split the custom plugins out of this project into their own repo, for anyone who just wants the plugins without pulling in the whole install script: https://github.com/acebmxer/xo-plugins Same deal as always — use at your own risk, review the code before running it on anything that matters. The two plugins in there are also still shipped inside this install script's Custom Plugins menu, kept in sync automatically — this repo just exists for people who don't want the rest of the project. xo-server-nanokvm This one's probably the more useful of the two for a lot of people. If you've got a host with no iLO/DRAC/IPMI — most consumer/prosumer boards, a lot of homelab gear — and you've wired up a Sipeed NanoKVM to the power header, this plugin lets Xen Orchestra power that host back on through the NanoKVM's own API. Same interface the NanoKVM web UI itself uses to press the button, just done from XO. On its own it doesn't decide when to turn a host on, it just gives XO a way to do it. Pairs with the other plugin below for that, or you could call it from your own automation if you wanted. Worth knowing: it can only press the button, it has no way to know if the host is actually on or off, so it only handles power-on. Powering off goes through XO's normal shutdown, which is a clean OS shutdown and evacuates VMs first — no reason to route that through the NanoKVM. Setup is a config entry per host: label, the NanoKVM's URL, a login, and which XO host it's wired to. Recommend making it a dedicated user-role account on the NanoKVM rather than admin — that role already has power/reset access without giving the plugin anything to storage/network settings on the KVM itself. xo-server-host-power-manager This is the one that actually decides when to act. Point it at an "extra" host in the pool and give it CPU and/or memory thresholds — when the rest of the pool is under pressure it powers that host on, and once things calm down for a while it powers it back off. Power-on can go through XO's built-in methods or through the NanoKVM plugin above, your choice per rule. Powering off always goes through XO's own host shutdown — it evacuates the running VMs first, and if HA is on and doesn't have room to cover it, XAPI just refuses and the plugin backs off and tries again later rather than forcing anything. It's deliberately quick to scale up and slow to scale down (needs both CPU and memory comfortable for a full cooldown period before it'll power a host off) so it's not flapping a host on and off over a short spike. Both have a Test button in their config page that actually tells you something useful, unlike XO's own generic "test plugin" popup — check journalctl -u xo-server right after clicking it to see what it found. As always, happy to hear feedback or find out I've broken something.
    • G

      GPU Passthrough

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      tjkreidlT
      @coolsport00 Sorry about the VMW need for the Cisco product. Sounds like you have a number of constraints, finances being I'm sure one of them! At least you have time on your hands and the means to experiment. You may, als, end up with a number of different platforms to meet your needs. We ran both Sun Microsystems and Red Hat Linux and Microsoft Windows servers, each taking on specific duties. It's far from ideal and probably not very cost-effective, but you do what you have to to get stuff to work.
    • D

      XCP-ng Windows PV tools announcements

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      @dinhngtu Yes, I've submitted a false positive report here: https://www.bitdefender.com/en-us/business/submit
    • johnnezeroJ

      Tag-Based Automation Plugin: Tag-Based VM Performance & Permission Management via assigned tag(s)

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      @johnnezero said: @john.c Thank you for all the great ideas, keep em' comming! Your welcome. If your other plugin was vibe coded it may be worth doing the same for the other. If you’re still working on it! @julienxovates In regards to the XO updates with the upcoming encrypted XO data store, by default (opt in for now). Is it ready for plugins like the one done by this author, and others in the future please?
    • B

      Native Ceph RBD SM driver for XCP-ng

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      dicode-nlD
      New version: https://github.com/dicode-nl/xcp-ng-ceph-rbd/releases/tag/v20260903 This one includes native Ceph rbd SXM over SMAPIv3! GitHub updated with the latest commits and changes. As always, use with caution. I did run a lot of test scenario's but please do test yourself and let me know your findings!
    • F

      XOA 6.8 Pool Metadata backup

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      @poddingue This was fixed a number of weeks ago via a ticket. I believe @florent may know the exact fix.
    • P

      " can't compute delta" & "can't connect through NBD, fall back to stream export" after 2026-07-28

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      @florent No explicit assigned migration or backup network set. Backups generate errors somewhat randomly. As one VM won't get the "error" one time. But on the next backup run it will. And the third time it might not. This even happens on VMs that are turned off, and therefore shouldn't have any changed bytes between backups. Host is reachable from XO Network has NBD enabled All VMs use VHD IPv4 Backup type is Delta
    • H

      XCP-NG 9.0 Support for GRAID Tech GPU-accelerated RAID cards.

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      This was sent to me yesterday!! See our Engineering Team lead's response: We evaluated XCP-ng 8.3 some time ago, but its dom0 kernel was too old for our driver to work properly. Running SupremeRAID inside a DomU should be feasible and is similar to the approach we previously proposed for VMware. However, with XCP-ng 8.3, we did not find a practical native path to export the SupremeRAID VD back to dom0 and use it as an XCP-ng SR. Using iSCSI for this purpose would add significant protocol and networking overhead, which is not ideal for high-performance NVMe storage. I revisited XCP-ng 9.0 and the current Xen/XAPI development. A more promising approach is to run SupremeRAID in a dedicated AlmaLinux VM with the GPU and NVMe drives passed through, then use Xen's native xen-blkback interface to export the SupremeRAID block device back to dom0. Dom0 would see the exported VD as a normal Xen block device, which could then potentially be used to create a standard XCP-ng LVM SR. This approach is much more attractive than iSCSI or NVMe/TCP because the data path uses Xen's blkif shared-memory interface rather than a network protocol. xen-blkback itself is an established Xen mechanism, and Xen supports using a separate domain as a block backend. However, XCP-ng does not currently provide complete first-class lifecycle management for this configuration, so we still need to validate the exact behavior on XCP-ng 9.0, particularly persistent attachment, storage VM startup ordering, and recovery after a host or storage VM reboot. If they can help confirm that the GPU and NVMe drives can be passed through to the storage VM, SupremeRAID can run normally there, and the resulting VD can be exported through xen-blkback to dom0 and used as an XCP-ng SR, I think this could be a very solid architecture for SupremeRAID on XCP-ng. As for write durability, SupremeRAID always operates in write-through mode. An I/O is acknowledged only after all associated data, including parity, has been committed to the drives. Therefore, acknowledged writes do not depend on data or parity remaining only in volatile GPU or host memory Can you do the initial testing with SupremeRAID PRO within your environment? I will begin the initial testing and builds with 4 nodes: 1 & 2 are HP DL380 Gen10 - 2x Xeon Gold 6151 36 Cores 384GB RAM 4 3.84Tb PCI4.0 NVMe per node. Twinstore Testing - Run the Build environment on these 3 is a HP Dl360 Gen10 2x Xeon Gold 6151 36 Cores 512Gb RAM 4x1.92TB NVMe Drives SuperServer SYS-122H-TN- X14 2x Xeon 6740 96 cores, 512GB RAM, GRAID Card - 4x Pci5.0 7.68TB drives SupremeRAID. All the nodes have 2x100Gbps ports, 2x25Gbps ports. Arista Backed network.
    • F

      Password in plain text required for the connection between XOCE and XO-SERVER. Is this normal ?

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      Hi, Thanks for your answers For the second problem, after deletion, it is impossible to have the connection to the xo-server despite the refresh of the XOCE page. In a new firefox tab = same problem I closed and then opened Firefox and xo-server connection = OK Best regards
    • A

      XOA 5.110 - Import from VMWare shows "vddk:" without ok or checkmark status

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      @olivierlambert said: Hi, It's nice to suggest something, but we can't communicate just today about it, but be assured that we have stuff in the pipes to answer exactly all of this Hello Olivier, Understood completely on the timing—I appreciate that communications like this need to be perfectly aligned with the development cycle. It’s incredibly reassuring to hear that there is already a solution in the pipes! As someone who has been around the community since 2021, I’m more than happy to help keep the forum threads constructive and patient in the meantime. When the time comes, if you need any early testing, feedback, or GitHub contributions to help vet whatever you have planned, please feel free to loop me in. I’d be glad to help out. Looking forward to the announcement! Best, John