[grafelic]

Interesting. How did you collect metrics for reports when running that many VUS? In a recent attempt, influxdb quickly became the bottleneck for us when testing with around 5000 VUS. Is there some best practices outlined somewhere, or which you could outline here, on how to collect metrics for large runs?

[sniku]

For that local test, I relied on the k6 CLI output. Influxdb would most likely not be able to handle this amount of data. We are looking to add a TimescaleDB output to enable metric collection beyond what Influx is capable of. There's a working example here if you want to give it a shot ahead of the official release https://github.com/loadimpact/open-source-load-testing-stack

Local execution with cloud output is also possible (k6 run -o cloud), but that's not free.

To give you some idea of what k6 cloud can do, here are screenshots of a few large scale tests https://imgur.com/a/NtXsc1a

1. 500 000 VU test run with 1.5B requests

2. 12h soak test run with 5k VUs

3. 48h soak test, with 5k VUs

4. 20k VU local test (with -o cloud)