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kernel slab leak persists on the fixed kernel, ~25-48 MiB/h per compute member #264

Description

@rldyourmnd

What the record says

kernel-slab-recovery-rollout.json closed the 2026-08-27 OOM incident as a kernel defect:

What is happening now

Same fleet, still on 6.8.0-138, 25 hours of uptime:

host SUnreclaim growth
gha-runner-1 2156 MiB +48 MiB/h
gha-runner-2 1976 MiB +31 MiB/h
gha-runner-3 2212 MiB +28 MiB/h
gha-runner-4 2066 MiB +25 MiB/h
gha-services 112 MiB +0 MiB/h

Rates are from system_memory_usage{state="slab_unreclaimable"} over a 0.5–0.6 h window, not from spot samples.

The kernel upgrade slowed the leak; it did not remove it. On a fixed kernel a fixed defect should not grow at all.

The services host is the control

gha-services runs the same kernel and the same fleet software but no worker containers, and it is flat at 112 MiB. Every host that churns containers grows; the one that does not, does not. That points at container create/destroy rather than at the kernel in isolation.

Ruled out this round: AppArmor profile accumulation. 119 incus profiles are the nested set of the one live container, and only one distinct container name appears across all loaded profiles — profiles are being unloaded correctly.

Also unexplained: /proc/slabinfo accounts ~1020 MiB by pages while Slab: reports 2762 MiB, so most of the growth is not attributable to a named cache.

Urgency

Not an emergency. At the measured rates the fleet re-enters the 10 GiB region in roughly 7 days (runner-1 first). The kernel_slab_unreclaimable ticket fired at 2 GiB exactly as designed, with a week of runway.

The documented remedy still works and is cheap: pressure-close, natural drain, rolling reboot. What is missing is a reason it should be needed weekly on a kernel recorded as carrying the fix.

Suggested next step

Capture slab evidence before the next reboot resets it — slabtop -o, /proc/slabinfo, /sys/kernel/slab/*/objects — so the growing cache can be named. Every reboot so far has destroyed the evidence that would identify it.

https://claude.ai/code/session_01HMPUfMTrzqwrcgDCFvjnFG

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