Thanks for sharing this — it’s a really promising direction. The advantages of Arrow for OTLP, especially when used end-to-end, are compelling given the protocol overhead of OTLP.
We’ve been thinking along similar lines with the use of Rust, particularly for OpenTelemetry collection in environments where high performance and low resource overhead are critical, such as edge and serverless. With that in mind, we’ve open-sourced a lightweight OpenTelemetry collector written in Rust to address these use cases. We’ve also developed a native Lambda extension around it, and have seen encouraging interest from folks aiming to improve cold start times.
The project is still fairly early, but we’re optimistic that Rust can open up new opportunities for efficient observability pipelines. Vendors like Datadog are also moving in this direction with their Lambda extension and appear to be adopting Rust more broadly for data-plane components.
If this resonates, feel free to take a look here: https://github.com/streamfold/rotel. We’d love to hear your thoughts on how this could be useful.
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