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Aleksei Sviridkin
829edfadb3
The in-sandbox pull-through cache fetches a blob only when a client asks for it, so the first tenant worker's kubelet pull is a live fetch from ghcr.io. That leg is what misses the node-Ready budget: measured at 40-165 KB/s for a 61 MiB image, with two blob streams dying mid-transfer after 7-8 MiB on an upstream HTTP/2 reset. Talos holds the kubelet service in PreFunc until the pull completes, so the node never registers, and the tenant cilium HelmRelease then fails for want of a schedulable node rather than for any fault of its own. Fill the cache from a Job started in the same install step that deploys the mirror, tens of minutes before the kubernetes suites run. The Job waits for the mirror to serve, then asks it for each kubelet tag's index, walks the manifests it gets back, and discards the blob bodies; distribution populates its blobstore on the way past. It warms one platform per tag -- the one the workers run -- picked out of the index by record, which keeps the walk a grep. Walking both platforms was a true addition to the same throttled leg: arm64 is bytes nothing in the sandbox pulls, and the digest ordering put it first for both tags, so on the slow runs this exists for the deadline expired with the second tag still cold. It warms the two minors the suites select, not the whole version map. The map would be ~300 MiB at the one-platform walk this ships (~61 MiB per tag), three fifths of it for minors no suite can resolve, spent on the same throttled egress the rest of the install is using. The tag list still comes from the chart's map rather than a copy, ordered the way the suites resolve it, so the set is theirs without restating their expression. The readiness wait is a wall clock, not a per-attempt count. Cilium answers a Service with no ready endpoints by rejecting, so a probe costs nothing when the mirror is absent and the full timeout when it is merely slow; a constant was wrong in both directions across two attempts at picking one. Tags are refused by character class before the pattern is applied, so a value cannot pass by having a valid first line: grep matches per line and the pattern's anchor is end-of-line, not end-of-input. The Job exits non-zero on any miss, so backoffLimit is a real bound and a warm-up that reached nothing cannot report success. It names its own requests, because the node-join diagnostic counts kubelet GETs in the access log to tell a worker that pulled through the mirror from one that fell back to public ghcr.io. Naming them is only half of that. The same diagnostic now reports the Job's status and result and the Job outlives the suites, because excluding the warm-up without reporting it would leave a red run unable to distinguish a warm cache from a warm-up that never started. That counter also moved onto the access-line shape: registry:2.8.3 writes three lines carrying the path per request, so matching the path counted one pull as three. It reads the repository from the same variable the warm-up does, so a rename cannot leave the diagnostic counting zero while the workers pull under the new name. GET and HEAD both count: containerd resolves a manifest with a HEAD first, so a GET-anchored count reports a pull that died before its first GET as no request at all. The failure path also prints how long the mirror took to answer the worker. A warm cache and a cold one are otherwise indistinguishable in the artifacts -- the Job reports success either way, because the proxy stores the blob in the background and a completed GET is a different event from a stored blob -- and server-side duration separates them by orders of magnitude. It filters the log in the shell that read it: a single argv element is capped at 131072 bytes on Linux regardless of ARG_MAX, and probe traffic carries this log past that within about twenty minutes of mirror uptime, so handing it to a helper would empty the section on every run worth reading. Nothing is printed when the log could not be read at all, because a heading with no lines under it reads as a finding about the workers. Measured against a local pull-through registry using the script the builder emits: 32m47s cold, 1.1s warm for the same tags, and the blobs it fetches are the same digests the failing runs stalled on. A warm-up that fails, times out or never starts does not fail the step, and the suites behave as they did before it existed. It is not free, though: it pulls across the same throttled egress the install is using, which is why the warm set is two tags and not five. Assisted-By: Claude <noreply@anthropic.com> Signed-off-by: Aleksei Sviridkin <3811295@gmail.com> Signed-off-by: Aleksei Sviridkin <f@lex.la>