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A freeze does not prove that disk I/O is the cause. Capture repeated Linux metrics during the incident, then correlate device latency and blocked processes with encoder progress and YouTube’s stream-health indicators. That evidence can distinguish storage pressure from slow encoding, an unreliable upload path, or an ingest problem.
Why does a YouTube live stream freeze on a VPS?
Storage is one possibility, especially if the stream process reads media from disk or writes logs and temporary files there. But the title alone cannot establish high I/O wait, local media reads, a storage bottleneck, or a Mumbai network fault. Encoding that cannot keep up, upload instability, and YouTube ingest problems can also interrupt a live stream.
Use measurements from the time of a freeze rather than a single system-wide number. Record timestamps, identify the relevant device, and compare normal intervals with the incident. A cumulative figure since boot can conceal a short-lived problem.
How do I check disk I/O wait on Linux?
Capture repeated samples with iostat
If sysstat is installed, run:
iostat -xz 2This requests repeated extended per-device reports at two-second intervals. Leave it running through a freeze, then stop it. Confirm the options supported by the iostat version on your distribution.
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Read the interval rows around the incident, not just the first report: the first output may represent activity since boot rather than the recent interval. Note the device names and timestamps so you can match activity to encoder logs and the filesystem holding media, logs, or temporary files.
Cross-check with vmstat
In a second terminal, run:
vmstat 2It reports process, memory, paging, block I/O, and CPU activity. Ignore the initial since-boot average for incident diagnosis and inspect subsequent interval rows. Record the b field (processes blocked waiting for I/O), wa (CPU time waiting for I/O), swap-in and swap-out activity, and st (time taken by the hypervisor from the virtual machine). Steal time can point to CPU scheduling pressure, but its presence on this particular VPS is not established.
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How to interpret the metrics
No one metric is a verdict. Look for multiple signals rising together during a freeze, on the device that serves the stream’s inputs or writes its files.
| Metric | What it indicates | How to use it |
|---|---|---|
%iowait |
iostat defines it as the percentage of time CPUs were idle while a disk I/O request was outstanding. |
Use it as context, not as a direct measurement of how long the stream process waited. The Linux kernel documentation cautions that iowait is not reliable as a direct measure of task waiting: a CPU does not itself wait for I/O, and another task may be scheduled. |
await |
Average request time in milliseconds, including time in the queue and time servicing the request. | Compare device-specific interval values during normal operation and the freeze. A rise aligned with the incident is a clue, not proof of cause. |
aqu-sz |
Average queue length for requests issued to a device. | A concurrent increase can support a storage-pressure hypothesis; correlate it with other fields and timestamps. |
%util |
Time during which I/O requests were issued. | Near 100% can indicate saturation on devices that serve requests serially. It does not measure the performance limit of parallel devices such as modern SSDs, so do not infer saturation from this field alone on virtualized or parallel storage. |
vmstat b and wa |
Blocked processes and CPU time waiting for I/O, respectively. | These are system-level context. Timestamp them and correlate with the stream process rather than treating either as proof. |
vmstat st |
CPU time stolen by the hypervisor from the virtual machine. | Consider CPU scheduling pressure as another possible contributor; the field does not establish that steal is occurring on this host. |
The relevant command definitions and caveats are documented in the iostat(1) manual, the Linux proc_stat(5) documentation, and the vmstat(8) manual.
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Check whether encoding or YouTube ingest is responsible
Compare encoder progress with real time
Inspect FFmpeg progress output or equivalent encoder telemetry at the freeze timestamp. If encoding speed falls behind real time, the encoder may be unable to produce frames quickly enough. Google’s guidance specifically for live VP9 encoding says that below 1x real-time speed can cause buffering and transmission breaks; that is a plausible competing cause, not a universal threshold or a measurement of this stream. See Google’s VP9 live-encoding guide.
Review YouTube stream health and encoder settings
Check YouTube Live Control Room’s stream-health indicators at the same timestamps as your Linux samples. YouTube recommends choosing quality the upload connection can reliably sustain, testing before going live, using constant bitrate (CBR), and setting a two-second keyframe interval without exceeding four seconds. Its bitrate table varies by codec, resolution, and frame rate; for example, its recommended H.264 rates include 5 Mbps for 1080p at 30 fps and 3 Mbps for 720p at 30 fps. These are platform recommendations, not a guarantee that a particular VPS upload path can sustain them. Consult YouTube’s live encoder settings, bitrates, and resolutions for the applicable combination.
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If sending RTMPS, verify the full server URL, endpoint/application name, and port 443 against the settings provided for the stream. See YouTube’s RTMPS guidance.
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A practical incident checklist
- Prepare capture. Start
iostat -xz 2andvmstat 2in separate terminals, if those options are available in your installed versions. - Mark the event. Record when the picture freezes, when it recovers, and the device names shown by
iostat. - Compare intervals. Look for a coincident rise in
await,aqu-sz, blocked processes, or sustained I/O on the device serving media, logs, or temporary files. Do not use%utilalone to diagnose virtualized or parallel storage. - Match encoder evidence. Compare the same timestamps with FFmpeg progress or other encoder telemetry to see whether output remained at real-time speed.
- Match YouTube evidence. Review stream health and verify sustainable upload bitrate, CBR, keyframe interval, and—if using RTMPS—the endpoint and port.
- Escalate with evidence. If these local checks do not explain the freeze, preserve timestamps and logs and ask the VPS provider to investigate host-side storage contention or throttling. This is a troubleshooting step, not evidence that a particular provider or the Mumbai region is responsible.
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