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[Feature] Replacing encoding/json with https://github.com/bytedance/sonic #992
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opened 2025-12-29 02:27:08 +01:00 by adam
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Originally created by @JanisCasper on GitHub (Mar 31, 2025).
Use case
Performance enhancement
Description
Hi,
we've been evaluating Headscale for our company for a while and started to look for quick wins to improve the performance of the server. One bottleneck we stumbled upon is the significant amount of CPU time spent on JSON parsing operations. Although part of the standard library of Go, encoding/json is not the best-performing JSON parser (see benchmarks like https://github.com/go-json-experiment/jsonbench ).
Would it be worth discussing a switch to Sonic? We've conducted some internal load tests, and the results are quite promising.
I’m happy to create a matching PR but wanted to reach out to you first to discuss the matter.
Contribution
How can it be implemented?
No response
@kradalby commented on GitHub (Mar 31, 2025):
We are aware of this bottleneck, it is because we use the database for storage when the application is running, even if all the data could be kept in memory. It is somewhere on the roadmap to rearchitecture this, but we have a lot to do before.
The value of the stdlib is stability over time, headscale isnt really a performance project, as often stated, its targeted at home labbers.
I dont think it is something we would consider. Sonic, as an example, is not pure Go, contains ARM and C code which we cannot look at, evaluate and which would dramatically complicate our builds.
I think these sort of large unknown "short term" wins would not really be beneficial and rather promote us to not address the actual issue.
@JanisCasper commented on GitHub (Apr 1, 2025):
Allright, thanks a lot for answering!
Would you guys be open to contributions (from us) to the rearchitecturing?
@kradalby commented on GitHub (Apr 14, 2025):
We are open to contributions that help, but help on larger work where things touch each other, maybe other than code review is a bit hard. In general the overhead of planning quickly seem to defeat the purpose. But independent work or small things (like https://github.com/juanfont/headscale/pull/2514 and https://github.com/juanfont/headscale/pull/2509) is easier.