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perf(ci): use ARM runners for builds and selected tests - #26106
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Co-Authored-By: OpenAI Codex <codex@openai.com>
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size-limit report 📦Compared: ba36175 (PR test merge using develop at a2dbec0) Against: eadbabb (develop) · base run #65073
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Optional E2E testsSome optional checks were not successful. They do not block the merge. 6 not successful, 50 successful. See the run.
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Keep branch builds and SQL Server integration jobs on x86-64, and isolate architecture-specific caches. Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
Co-Authored-By: OpenAI Codex <codex@openai.com>
nicohrubec
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Today our CI uses x86 runners for all our job, this PR moves a selection of our CI runners to the free ARM64 runners to reduce CI time. The jobs that are moved over were determined by doing a few benchmark runs with more details in the tables below.
x86 baseline is our CI as it runs today. The ARM run then uses ARM runners as much as possible with the caveat that we cannot move node/bun/deno integration tests to ARM atm because they run SQL Server container tests that do not work on ARM (potentially something we can look into next if we go with this). Running on ARM improves many jobs a lot but is worse for browser and E2E tests, partially because of missing cache hits. That's how I ended up with the "hybrid" configuration that basically takes best of both worlds.
In the table below you can see in more detail how the job timings changed between the configurations for the latest test run:
* Excludes initial queueing and optional jobs. Each run had one required-test failure; ARM browser caches were cold.
† These integration jobs stayed on x86 in both runs.