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  • Cloudron not responding

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    @arshsahzad the ocsp thing is only a warning and not a fatal error. But let's continue on support.

  • name resolution issues on fresh install

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    @prusaman If the instance has no IPv4, how do you ssh in ? Via a jump host?

  • Upgrading Cloudron via command line

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    @christiaan I submitted a new image to the marketplace. Will leave a note here when it gets approved. Sometimes it's immediate and sometimes it takes 2-3 days.

  • Amazon EC2 key pair and region

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    @girish thank you, that made it a bit easier 👍🏼

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    @dreamcatch22 with AWS, I have usually found that it's either

    a) the cpu credits are kicking in. are you aware of https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/burstable-credits-baseline-concepts.html ? AFAIK, even lightsail has the same limitation (but not 100% sure).

    b) some machine have a lot of memory but perform very poorly . For example, see the notes in EC2 R5 xlarge (which has 32GB RAM!) but works very poorly with docker - https://forum.cloudron.io/post/17488

    Not sure, if either of those apply to you. What instance are you using ?

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    @scooke said in Installation on an AWS EC2 server (T2.Micro) at AWS China hangs:

    @andreas True, it doesn't matter where the host company, or head office is located. Anything in China, for China, is going to be under lots of scrutiny.

    Unfortunately true, we must accept this learning curve.

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    Yup. This makes no sense.

    9bafe7ee-807e-4e2a-ae5d-bbf0b94cf89e-image.png

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    @alex-adestech That was quite some debugging session 🙂

    Wanted to leave some notes here... The server was an EC2 R5 xlarge instance. It worked well but when you resize any app, it will just hang. And the whole server will stop responding eventually. One curious thing was that server had 32GB and ~20GB was in buff/cache in free -m output. I have never seen kernel caching so much. We also found this backtrace in dmesg output:

    INFO: task docker:111571 blocked for more than 120 seconds. "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. docker D 0000000000000000 0 111571 1 0x00000080 ffff881c01527ab0 0000000000000086 ffff881c332f5080 ffff881c01527fd8 ffff881c01527fd8 ffff881c01527fd8 ffff881c332f5080 ffff881c01527bf0 ffff881c01527bf8 7fffffffffffffff ffff881c332f5080 0000000000000000 Call Trace: [<ffffffff8163a909>] schedule+0x29/0x70 [<ffffffff816385f9>] schedule_timeout+0x209/0x2d0 [<ffffffff8108e4cd>] ? mod_timer+0x11d/0x240 [<ffffffff8163acd6>] wait_for_completion+0x116/0x170 [<ffffffff810b8c10>] ? wake_up_state+0x20/0x20 [<ffffffff810ab676>] __synchronize_srcu+0x106/0x1a0 [<ffffffff810ab190>] ? call_srcu+0x70/0x70 [<ffffffff81219ebf>] ? __sync_blockdev+0x1f/0x40 [<ffffffff810ab72d>] synchronize_srcu+0x1d/0x20 [<ffffffffa000318d>] __dm_suspend+0x5d/0x220 [dm_mod] [<ffffffffa0004c9a>] dm_suspend+0xca/0xf0 [dm_mod] [<ffffffffa0009fe0>] ? table_load+0x380/0x380 [dm_mod] [<ffffffffa000a174>] dev_suspend+0x194/0x250 [dm_mod] [<ffffffffa0009fe0>] ? table_load+0x380/0x380 [dm_mod] [<ffffffffa000aa25>] ctl_ioctl+0x255/0x500 [dm_mod] [<ffffffffa000ace3>] dm_ctl_ioctl+0x13/0x20 [dm_mod] [<ffffffff811f1ef5>] do_vfs_ioctl+0x2e5/0x4c0 [<ffffffff8128bc6e>] ? file_has_perm+0xae/0xc0 [<ffffffff811f2171>] SyS_ioctl+0xa1/0xc0 [<ffffffff816408d9>] ? do_async_page_fault+0x29/0xe0 [<ffffffff81645909>] system_call_fastpath+0x16/0x1b

    Which led to this redhat article but the answer to that is locked. More debugging led to answers like this and this. The final answer was found here:

    sudo sysctl -w vm.dirty_ratio=10 sudo sysctl -w vm.dirty_background_ratio=5

    With the explanation "By default Linux uses up to 40% of the available memory for file system caching. After this mark has been reached the file system flushes all outstanding data to disk causing all following IOs going synchronous. For flushing out this data to disk this there is a time limit of 120 seconds by default. In the case here the IO subsystem is not fast enough to flush the data withing". Crazy 🙂 After we put those settings, it actually worked (!). Still cannot believe that choosing AWS instance is that important.