Not sure, but seems like it will be producing apache arrow data and carrying it across the data stack end to end from OTEL. This would be great for creating data without a bunch of duplication/redundant processing steps and exporting it in a form that's ready to query.

Warning: this is an oversimplification.

Performance optimization and being able to "plug in" to the data ecosystem that Apache Arrow exists in.

OpenTelemetry is pretty great for a lot of uses, but the protocol over the wire is too chunky for some applications where. From last year's post on the topic[0]:

> In a side-by-side comparison between OpenTelemetry Protocol (“OTLP”) and OpenTelemetry Protocol with Apache Arrow for similarly configured traces pipelines, we observe 30% improvement in compression. Although this study specifically focused on traces data, we have observed results for logs and metrics signals in production settings too, where OTel-Arrow users can expect 50% to 70% improvement relative to OTLP for similar pipeline configurations.

For your average set of apps and services running in a k8s cluster somewhere in the cloud, this is just a nice-to-have, but size on wire is a problem for a lot of systems out there today, and they are precluded from adopting OpenTelemetry until that's solved.

[0]: https://opentelemetry.io/blog/2024/otel-arrow-production/

glommio is pretty well respected. https://www.datadoghq.com/blog/engineering/introducing-glomm... https://github.com/DataDog/glommio

ByteDance also has their very fast monio. https://github.com/bytedance/monoio

Both integrate io-uring support for very fast io.