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Description
This is a non-urgent follow-on ticket from https://github.com/sul-dlss/operations-tasks/issues/3100#issuecomment-1261547020
We did some inadvertent load testing against our prod instance of SDR during summer of 2022 (see here, here, here). But this revealed that we might have a relatively low effort way to get into intentional load testing of SDR, which we don't currently have any tooling for, afaik. For the Catalhoyuk remediation we just sequentially ran 144k small metadata updates to existing druids, and this sometimes produced enough activity to run afoul of the inter-firewall-zone network timeout that we suspect caused our preservation storage headaches.
Because it's very likely that normal human and gbooks accessioning activity would've ultimately led to the same errors in prod, maybe at a slower rate, it seems doubtful to me that we really needed that sdr-api based remediation script in prod to trigger the problems we saw. However, the volume of both human and gbooks accessioning in our test environments is much lower than it is in prod. Scripting a way to have sdr-api send a bunch of test updates to QA or stage might be a relatively easy way to apply more load on demand. I think it'd be fine to start with one thread of sequential updates, which would be more than what we have now, but configurable parallelization might be a nice next step.
We could also consider some automated repetition or parallelization of infrastructure-integration-tests, but the resource limitations of an individual developer's laptop running a bunch of browsers might keep us from usefully load testing SDR that way. Still maybe worth a spike ticket in infrastructure-integration-tests? 🤷