Campaign 10: M-band RTO measured — RTO ~= 40s + 26.9s/GB, and a capacity ceiling that matters more
The S figures (66 MB -> 42.0s, two passes agreeing to 0.6s) had a spread tight enough to prove fixed work dominates, which is exactly why they said nothing about M. Second point taken 327x larger, same app, same method: clock from restore request to the app serving the correct discriminator. rallly's postgres volume grown 66 MB -> 21.1 GB (200k rows, STORAGE EXTERNAL so TOAST cannot compress it into a fake number). Two reps: rep 1 backup 406.4s unit 41149 MB RTO 624.5s discriminator correct rep 2 backup 387.2s unit 41133 MB RTO 591.8s discriminator correct 327x the data cost 14.5x the time - strongly sub-linear: RTO ~= 40s + 26.9 s/GB backup ~= 29s + 17.4 s/GB 10 GB -> 5.2 min 20 GB -> 9.6 min (measured 10.1) 100 GB -> 46 min The fixed ~40s dominates below ~1.5 GB, which IS the S band and explains its tight clustering. The more consequential result is capacity. A DB-backed app's recovery unit is 1.90x its data (volume tar PLUS SQL dump): 21.1 GB produced a 40.2 GB unit. The default appliance ships /mnt/sys_drive at 20 GB, so the largest app that can hold a local Tier-1/2 recovery unit on a default box is about 10 GB - and that fills the volume. The M band does not fit on a default box at all; this test only reached 21 GB because sys_drive was first grown 20G -> 70G with the same operation the product performs via SysDataGrowGB. A tier-sizing decision, not a defect, but it is invisible until an app crosses it. Caveats stated in the doc: two points define a line but do not test linearity; the 1.90x is DB-app-specific and a file-only app should be nearer 1.0x (inferred, not measured); synthetic incompressible data; one app, one box.
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@@ -50,9 +50,14 @@ deliberately** — two violations were harness defects), run 2b (**39 cycles, 12
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- **R-117's Q7 case holds** — a filesystem aborted *in place* (device still present) surfaces via
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`bound_under_parent=false`, the gate stops the app on the dead namespace, and the storage page names
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it. That is the case R-117's spike called "the worse half".
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- **RTO (Tier 1, rallly, 66 MB):** run 1 median **42.0 s**, run 2b median **41.4 s** over 38 restores
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— two independent passes agreeing to 0.6 s. **S band's lower end only**; nothing extrapolates to M
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or L. **RPO not measured.**
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- **RTO, both bands measured.** S: 66 MB → **42.0 s** / **41.4 s** across two passes (66 restores).
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M: 21.1 GB → **608 s** mean over 2 reps, both returning the correct discriminator. 327× the data
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cost 14.5× the time, giving **RTO ≈ 40 s + 26.9 s/GB** (backup ≈ 29 s + 17.4 s/GB). The fixed ~40 s
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dominates below ~1.5 GB — that is the S band, and why its numbers clustered so tightly.
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- **Capacity ceiling, and the more consequential result:** a DB-backed app's recovery unit is **1.90×**
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its data (volume tar + SQL dump). The default `/mnt/sys_drive` is **20 GB**, so on a default box the
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largest locally-backupable app is **≈ 10 GB** — **the M band does not fit at all** without a
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per-customer `SysDataGrowGB`. **RPO still not measured.**
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- **No resource leak.** 9 457 samples of 19 metrics over 13.5 h: controller and agent RSS flat, fds
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flat, and **no orphaned volumes, images or containers** despite dozens of redeploys, kills, reboots
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and hard resets. The only curve with real slope is the **agent journal, 194 → 463 MB (~20 MB/h)** —
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