Testing the Foundations

​After a year of building infrastructure, it seemed worth finding out whether it actually worked.
The test was simple: create a million rests and see what happened. One operation –

​– repeated until either something broke or the numbers settled.

Single Thread, Single Client

First experiment: one client, one thread, a million sequential calls. This was on a 2017 MacBook Pro, so not exactly cutting-edge hardware.

Every call succeeded. Average execution time was 35 microseconds. Memory stayed at 112 MB without drifting upwards. Garbage collection remained in the young generation. Thread count didn't move. Zero errors.
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Nothing dramatic, which was the point.

Adding Concurrency

Second test: four threads on one client, 250,000 calls each. Another million operations, but with some concurrency this time.

Same result. All calls succeeded, memory stayed flat, garbage collection behaved, threads were stable. Still zero errors.
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This level of concurrency should be unremarkable for any serious system. It was.

Multiple Clients

Third experiment: ten clients, four threads each. Forty threads total – enough to make the laptop work.

Average call times went up to 246 microseconds, but everything else held steady. Memory stable, garbage collection well-behaved, threads disciplined. Error count still zero.
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Same 2017 laptop that started the tests.

What This Means

From one thread to forty, from 35 microseconds to 246, the pattern was consistent. The system handled load without breaking.
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These were only raw API calls, not STM transactions with musical logic and collaboration on top. Those will be next. For now, the figures suggest the foundations are fast, steady, and ready to carry more.