Thinnings are the bulk clumping / compaction of de bruijn lifting and lowering operations like how permutations are the clumping of many swaps. Another way of saying it is that they are generated by them. Thinnings, like many actions, can be composed t . s, not just applied t(s(x)). This is often a very small but also a very big shift in perspective.
In the end we went with the technology we know and love, with its quirks and ugly UI: Argo. It's Kubernetes native. Each step is a job and you're guaranteed that it runs in the order that you need. It scales pretty well to the thousands of tests we need to run reliably. And you can merge many workflows together into a single one so we can easily send a message at the end. Again, this is very hard to test but we have already built abstractions to do this.
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