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Keep 012 and 027 open and give every leftover of the closed efforts an issue (issue 408)
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03-DESIGN/01-to-be/03-scenario-lifecycle.md
02-DECISIONS/0016-the-lab.md
02-DECISIONS/0016-the-lab.md
02-DECISIONS/0016-the-lab.md
02-DECISIONS/0172-the-lab-is-a-module-and-runs-a-bed-when-the-mesh-asks.md
03-DESIGN/01-to-be/03-scenario-lifecycle.md
03-DESIGN/01-to-be/04-lab-installation.md

010 — What the lab's inner loop actually costs

What is being investigated

The lifecycle design closes on an open question that is measurable rather than arguable:

What a snapshot costs. Whole-scenario snapshots of several machines are the operation the inner loop repeats most, so their cost sets the loop's speed. If restoring is slow, the loop is slow, and everything above is theory.

Measured on a workstation, 2026-08-24. Numbers in measurements.md.

Why it matters

ADR 0016 makes the bootstrap scenario the inner development loop for tiers 0 and 1 — the argument being that raising a node from nothing stops being the least-exercised path and becomes the most-exercised one. That argument is only true if raising and resetting are cheap. A loop that costs minutes is a loop people avoid, and the least-exercised path stays least-exercised.

Status

Measured, and the finding is a blocker rather than a data point.

A snapshot on the current host is a full copy of the machine's disk. 1.6 GB and ten seconds for one small virtual machine at best — and over two minutes when observed a second time. Cost scales with the number of machines and the size of their disks, not with what changed.

With copy-on-write it is 0.13 seconds and costs the delta. Verified, not assumed. The projected four-machine reset cycle falls from roughly ninety seconds to roughly fifteen, of which almost all is a boot that cannot be avoided.

The cause is not virtual machines and not incus. It is that the host offers incus exactly one storage driver, dir, which has no copy-on-write and therefore no cheap snapshot. The kernel supports btrfs; the userspace tool that would let incus use it is simply not installed.

So the question "is the lab's inner loop fast enough" currently answers itself the wrong way, for a reason that is one declared package away from being fixed — and declaring packages is something the mesh already does.

Open questions

Question Why it matters
How much does a copy-on-write pool actually improve it? Measured: snapshot 9.9 s → 0.13 s, restore 10.4 s → 0.80 s, three snapshots sharing 1.36 GB rather than costing 4.8 GB. The projected four-machine cycle falls from ~90 s to ~15 s. Answered. The inner-loop argument holds with copy-on-write and did not without it.
How does the lab install its own prerequisites on a clean machine? The lab needs a virtualisation daemon, copy-on-write tooling and a pool before it can do anything — and it cannot depend on the mesh for them, since it is where the mesh is built.
Why was the second snapshot more than twelve times slower than the first? If snapshot cost is unpredictable rather than merely high, that is worse — a loop with a variable multi-minute step is one nobody trusts.
Does a scenario snapshot need the machines stopped? Stateless snapshots of a running virtual machine capture the disk but not memory. Whether a mesh restored that way is coherent is not established.
What is the cost at scenario scale — four machines rather than one? Only single-machine numbers were taken. If the operation is serial, four machines is four times the wait.

What it became

Closed 2026-10-10. The cost was measured and the answer is built in. The lab's own installation requires a copy-on-write pool and refuses a machine without one (to-be 04, ADR 0172), and the lifecycle design (to-be 03, under ADR 0016) rests on the measured numbers. Two machines were measured as well as one, and boot concurrently (as-is 11). The integration test answered whether a snapshot needs its machines stopped: no, but they must be flushed first (to-be 03). Why the second full-copy snapshot was slower stopped mattering once snapshots were copy-on-write.