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This docs is an attempt at the schema for our Phase 2 performance summary, when phase 2 is completed. It defines the key scenarios (Idle, 100k Load, Saturation) and the comparative analysis with OTLP/Collector. I've put TBD for actual numbers, as this is just attempting to finalize what we want to have in an easy to consume format. Actual numbers will be filled in later. This can also be used to see if there are gaps in the perf test suites that we want to add.

The existing pages like https://open-telemetry.github.io/otel-arrow/benchmarks/nightly/backpressure/ are still retained. This doc will have distilled information from them.

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codecov bot commented Dec 4, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.67%. Comparing base (803090a) to head (029b0b3).

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #1528   +/-   ##
=======================================
  Coverage   84.67%   84.67%           
=======================================
  Files         499      499           
  Lines      146912   146912           
=======================================
  Hits       124396   124396           
  Misses      21982    21982           
  Partials      534      534           
Components Coverage Δ
otap-dataflow 86.08% <ø> (ø)
query_abstraction 80.61% <ø> (ø)
query_engine 90.52% <ø> (ø)
syslog_cef_receivers ∅ <ø> (∅)
otel-arrow-go 53.50% <ø> (ø)
quiver 90.66% <ø> (ø)
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@lquerel lquerel left a comment

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I really like this document.

I think we should also include the OTLP to OTLP scenario in the different sections since it will be one of the most common scenarios, at least in the beginning.

I also think we should add the wait_for_result mode in the otel-arrow section because it provides a true end to end unified ack/nack mechanism, which I believe is not fully supported by the Go collector.

github-merge-queue bot pushed a commit that referenced this pull request Jan 14, 2026
Fixed one TODO!

#1528 - Still working
on this separately, which will include actual numbers for key scenarios,
so readers don't have to go through the graphs themselves!
@cijothomas cijothomas marked this pull request as ready for review January 17, 2026 00:54
@cijothomas cijothomas requested a review from a team as a code owner January 17, 2026 00:54
Comment on lines +52 to +53
| Single Core | 0.06% | 27 MB |
| All Cores (128) | 2.5% | 600 MB |
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@reyang reyang Jan 20, 2026

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Two things to consider:

  1. What's the memory usage on different CPU architecture (ARM64, AMD64, etc.)?
  2. What's the trend as the number of cores increase? I guess it is C + N * R where C is a constant, N is the number of cores and R is the per core memory?

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5 participants