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chore(datadog-tracer-flare): remove unnecessary features/deps#1761

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brettlangdon/reduce.tracer.flare.crate.size
Mar 18, 2026
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chore(datadog-tracer-flare): remove unnecessary features/deps#1761
gh-worker-dd-mergequeue-cf854d[bot] merged 3 commits intomainfrom
brettlangdon/reduce.tracer.flare.crate.size

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@brettlangdon brettlangdon commented Mar 18, 2026

What does this PR do?

Only included the necessary compression features used by the crate.

Motivation

We have determined that adding tracer flare to dd-trace-py was the primary cause that pushed the library size limit over what is acceptable for datadog-lambda-python.

We found that zip was including all compression methods by default which take up a lot of space and are unused.

# Before
❯ ls -hal target/release/libdatadog_tracer_flare.*
-rw-r--r--@ 1 brett.langdon  staff   7.3K Mar 18 12:01 target/release/libdatadog_tracer_flare.d
-rw-r--r--@ 1 brett.langdon  staff   3.6M Mar 18 12:01 target/release/libdatadog_tracer_flare.rlib

# After
❯ ls -hal target/release/libdatadog_tracer_flare.*
-rw-r--r--@ 1 brett.langdon  staff   7.3K Mar 18 12:02 target/release/libdatadog_tracer_flare.d
-rw-r--r--@ 1 brett.langdon  staff   3.3M Mar 18 12:00 target/release/libdatadog_tracer_flare.rlib

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

@brettlangdon brettlangdon requested review from a team as code owners March 18, 2026 16:04
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codecov-commenter commented Mar 18, 2026 •
edited
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.43%. Comparing base (6e12752) to head (1510ec8).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1761      +/-   ##
==========================================
- Coverage   71.47%   71.43%   -0.04%     
==========================================
  Files         430      430              
  Lines       64132    64152      +20     
==========================================
- Hits        45836    45830       -6     
- Misses      18296    18322      +26
Components Coverage Δ
libdd-crashtracker 63.83% <ø> (-0.10%) ⬇️
libdd-crashtracker-ffi 17.10% <ø> (-1.09%) ⬇️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.69% <ø> (-0.24%) ⬇️
libdd-data-pipeline-ffi 73.57% <ø> (-1.29%) ⬇️
libdd-common 79.73% <ø> (ø)
libdd-common-ffi 73.40% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.35% <ø> (ø)
libdd-profiling 81.48% <ø> (ø)
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 33.61% <ø> (+0.50%) ⬆️
datdog-sidecar-ffi 13.01% <ø> (+2.22%) ⬆️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 91.80% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 89.05% <ø> (+0.10%) ⬆️
datadog-tracer-flare 86.88% <ø> (-3.59%) ⬇️
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

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pr-commenter bot commented Mar 18, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-03-18 18:02:17

Comparing candidate commit 1510ec8 in PR branch brettlangdon/reduce.tracer.flare.crate.size with baseline commit 6e12752 in branch main.

Found 12 performance improvements and 0 performance regressions! Performance is the same for 47 metrics, 2 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:credit_card/is_card_number/ 378282246310005

  • 🟩 execution_time [-5.632µs; -5.550µs] or [-7.661%; -7.550%]
  • 🟩 throughput [+1111785.980op/s; +1127085.841op/s] or [+8.174%; +8.286%]

scenario:credit_card/is_card_number/378282246310005

  • 🟩 execution_time [-5.832µs; -5.759µs] or [-8.265%; -8.161%]
  • 🟩 throughput [+1260271.839op/s; +1275353.308op/s] or [+8.893%; +9.000%]

scenario:credit_card/is_card_number/37828224631000521389798

  • 🟩 execution_time [-7.387µs; -7.360µs] or [-13.902%; -13.853%]
  • 🟩 throughput [+3026805.348op/s; +3039047.360op/s] or [+16.082%; +16.147%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

  • 🟩 execution_time [-4.963µs; -4.930µs] or [-8.504%; -8.446%]
  • 🟩 throughput [+1581394.940op/s; +1591358.565op/s] or [+9.230%; +9.288%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

  • 🟩 execution_time [-5.340µs; -5.293µs] or [-9.615%; -9.531%]
  • 🟩 throughput [+1898260.448op/s; +1913579.986op/s] or [+10.543%; +10.628%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

  • 🟩 execution_time [-7.414µs; -7.389µs] or [-13.951%; -13.904%]
  • 🟩 throughput [+3039519.935op/s; +3050855.287op/s] or [+16.152%; +16.212%]

Candidate

Candidate benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
two way interface execution_time 17.672µs 25.296µs ± 9.464µs 18.060µs ± 0.279µs 33.766µs 42.668µs 47.402µs 67.857µs 275.73% 0.977 0.597 37.32% 0.669µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [23.984µs; 26.607µs] or [-5.185%; +5.185%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sql/obfuscate_sql_string execution_time 86.142µs 86.326µs ± 0.196µs 86.299µs ± 0.044µs 86.353µs 86.439µs 86.604µs 88.233µs 2.24% 7.775 69.265 0.23% 0.014µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [86.299µs; 86.353µs] or [-0.032%; +0.032%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
tags/replace_trace_tags execution_time 2.296µs 2.364µs ± 0.020µs 2.364µs ± 0.010µs 2.378µs 2.387µs 2.392µs 2.397µs 1.40% -1.562 3.158 0.83% 0.001µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.361µs; 2.366µs] or [-0.115%; +0.115%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
redis/obfuscate_redis_string execution_time 33.593µs 34.233µs ± 1.108µs 33.716µs ± 0.049µs 33.804µs 36.535µs 36.933µs 37.745µs 11.95% 1.704 1.092 3.23% 0.078µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.079µs; 34.386µs] or [-0.449%; +0.449%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_trace/test_trace execution_time 237.333ns 249.701ns ± 13.661ns 243.925ns ± 4.964ns 252.145ns 283.847ns 287.390ns 288.798ns 18.40% 1.481 1.145 5.46% 0.966ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_trace/test_trace execution_time [247.807ns; 251.594ns] or [-0.758%; +0.758%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
ip_address/quantize_peer_ip_address_benchmark execution_time 4.963µs 5.037µs ± 0.041µs 5.043µs ± 0.040µs 5.064µs 5.092µs 5.095µs 5.097µs 1.07% -0.320 -1.211 0.82% 0.003µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark execution_time [5.031µs; 5.043µs] or [-0.114%; +0.114%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_timestamped_x1000 execution_time 4.198ms 4.205ms ± 0.009ms 4.204ms ± 0.002ms 4.206ms 4.210ms 4.217ms 4.320ms 2.77% 11.086 140.386 0.21% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_timestamped_x1000 execution_time [4.204ms; 4.206ms] or [-0.029%; +0.029%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching serializing traces from their internal representation to msgpack execution_time 14.403ms 14.475ms ± 0.034ms 14.469ms ± 0.017ms 14.486ms 14.539ms 14.611ms 14.625ms 1.07% 1.743 4.618 0.23% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching serializing traces from their internal representation to msgpack execution_time [14.470ms; 14.479ms] or [-0.032%; +0.032%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
credit_card/is_card_number/ execution_time 3.897µs 3.914µs ± 0.003µs 3.914µs ± 0.002µs 3.916µs 3.919µs 3.921µs 3.921µs 0.18% -0.775 5.558 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255009096.556op/s 255469198.374op/s ± 192041.447op/s 255479121.890op/s ± 128138.640op/s 255606171.949op/s 255712604.825op/s 255771562.931op/s 256638563.371op/s 0.45% 0.790 5.656 0.07% 13579.381op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.383µs 80.019µs ± 0.096µs 80.015µs ± 0.058µs 80.080µs 80.150µs 80.213µs 80.422µs 0.51% -0.952 9.815 0.12% 0.007µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12434431.997op/s 12497019.634op/s ± 14964.201op/s 12497656.066op/s ± 9117.604op/s 12505515.871op/s 12517493.259op/s 12524421.683op/s 12597139.059op/s 0.80% 0.991 10.033 0.12% 1058.129op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.828µs 67.927µs ± 0.074µs 67.917µs ± 0.030µs 67.947µs 68.041µs 68.125µs 68.630µs 1.05% 4.607 38.368 0.11% 0.005µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14570974.874op/s 14721712.223op/s ± 16060.522op/s 14723843.131op/s ± 6412.143op/s 14730176.386op/s 14738425.952op/s 14740877.423op/s 14743159.224op/s 0.13% -4.545 37.566 0.11% 1135.650op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.902µs 3.914µs ± 0.003µs 3.914µs ± 0.002µs 3.916µs 3.919µs 3.920µs 3.934µs 0.50% 1.253 9.879 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254206040.413op/s 255475911.565op/s ± 191309.634op/s 255489639.895op/s ± 118685.323op/s 255602720.347op/s 255722701.242op/s 255776830.081op/s 256307059.669op/s 0.32% -1.230 9.754 0.07% 13527.634op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.615µs 64.773µs ± 0.091µs 64.763µs ± 0.068µs 64.835µs 64.929µs 64.988µs 65.027µs 0.41% 0.469 -0.513 0.14% 0.006µs 1 200
credit_card/is_card_number/378282246310005 throughput 15378184.785op/s 15438660.099op/s ± 21710.073op/s 15440883.036op/s ± 16185.817op/s 15455416.945op/s 15469145.629op/s 15474372.598op/s 15476216.151op/s 0.23% -0.463 -0.521 0.14% 1535.134op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.475µs 45.758µs ± 0.089µs 45.772µs ± 0.059µs 45.824µs 45.887µs 45.922µs 45.941µs 0.37% -0.552 0.111 0.19% 0.006µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21767217.795op/s 21854228.820op/s ± 42647.769op/s 21847635.587op/s ± 28007.178op/s 21882456.291op/s 21933137.464op/s 21968461.681op/s 21990168.487op/s 0.65% 0.563 0.130 0.19% 3015.653op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.550µs 6.619µs ± 0.019µs 6.622µs ± 0.013µs 6.635µs 6.642µs 6.651µs 6.656µs 0.52% -0.669 0.099 0.28% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 150237967.806op/s 151079502.222op/s ± 428090.276op/s 151012502.722op/s ± 299304.544op/s 151335685.039op/s 151831514.762op/s 152153206.712op/s 152668736.288op/s 1.10% 0.683 0.135 0.28% 30270.554op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.896µs 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.916µs 3.920µs 3.923µs 3.923µs 0.23% -0.441 8.277 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254889252.915op/s 255461560.561op/s ± 192863.768op/s 255471020.949op/s ± 93877.203op/s 255574084.299op/s 255682733.970op/s 255746245.641op/s 256694845.811op/s 0.48% 0.464 8.402 0.08% 13637.528op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.167µs 65.658µs ± 0.122µs 65.690µs ± 0.059µs 65.740µs 65.798µs 65.847µs 65.897µs 0.32% -1.195 1.580 0.19% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15175113.370op/s 15230481.368op/s ± 28411.938op/s 15223056.583op/s ± 13757.240op/s 15244396.839op/s 15287221.874op/s 15313239.974op/s 15345117.715op/s 0.80% 1.207 1.622 0.19% 2009.027op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.349µs 53.421µs ± 0.033µs 53.419µs ± 0.021µs 53.440µs 53.481µs 53.504µs 53.537µs 0.22% 0.540 0.400 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18678698.663op/s 18719261.798op/s ± 11583.349op/s 18719970.256op/s ± 7515.048op/s 18727513.753op/s 18737109.081op/s 18740442.412op/s 18744351.768op/s 0.13% -0.536 0.393 0.06% 819.066op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.893µs 3.915µs ± 0.003µs 3.915µs ± 0.001µs 3.916µs 3.918µs 3.920µs 3.921µs 0.16% -2.790 24.572 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255029419.715op/s 255445146.072op/s ± 167754.575op/s 255433076.535op/s ± 82124.885op/s 255523163.179op/s 255648444.827op/s 255720560.287op/s 256873166.888op/s 0.56% 2.827 24.943 0.07% 11862.040op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.144µs 50.223µs ± 0.035µs 50.222µs ± 0.021µs 50.243µs 50.278µs 50.308µs 50.344µs 0.24% 0.336 0.256 0.07% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19863182.400op/s 19911374.595op/s ± 13713.444op/s 19911611.362op/s ± 8454.760op/s 19920798.891op/s 19931863.622op/s 19940105.805op/s 19942473.940op/s 0.15% -0.332 0.249 0.07% 969.687op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.541µs 45.738µs ± 0.080µs 45.743µs ± 0.057µs 45.798µs 45.865µs 45.891µs 45.951µs 0.45% -0.177 -0.496 0.17% 0.006µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21762305.540op/s 21863760.293op/s ± 38219.042op/s 21861313.128op/s ± 27241.211op/s 21888866.242op/s 21930615.031op/s 21942744.181op/s 21958087.926op/s 0.44% 0.184 -0.495 0.17% 2702.494op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.566µs 6.616µs ± 0.018µs 6.617µs ± 0.014µs 6.632µs 6.639µs 6.643µs 6.654µs 0.55% -0.596 -0.335 0.27% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 150293195.818op/s 151138739.934op/s ± 405215.405op/s 151118949.051op/s ± 317667.838op/s 151380494.804op/s 151947498.779op/s 152099258.085op/s 152306114.769op/s 0.79% 0.606 -0.319 0.27% 28653.056op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
credit_card/is_card_number/ execution_time [3.914µs; 3.915µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255442583.276op/s; 255495813.471op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.006µs; 80.032µs] or [-0.017%; +0.017%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12494945.739op/s; 12499093.528op/s] or [-0.017%; +0.017%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.917µs; 67.937µs] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14719486.389op/s; 14723938.057op/s] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/37828224631 execution_time [3.914µs; 3.915µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255449397.890op/s; 255502425.240op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.760µs; 64.785µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number/378282246310005 throughput [15435651.291op/s; 15441668.906op/s] or [-0.019%; +0.019%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.746µs; 45.770µs] or [-0.027%; +0.027%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21848318.249op/s; 21860139.391op/s] or [-0.027%; +0.027%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.616µs; 6.622µs] or [-0.039%; +0.039%] None None None
credit_card/is_card_number/x371413321323331 throughput [151020173.027op/s; 151138831.417op/s] or [-0.039%; +0.039%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.915µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ throughput [255434831.498op/s; 255488289.625op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.641µs; 65.675µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15226543.747op/s; 15234418.989op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.416µs; 53.426µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18717656.457op/s; 18720867.139op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.914µs; 3.915µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255421896.901op/s; 255468395.243op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.218µs; 50.227µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19909474.043op/s; 19913275.146op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.727µs; 45.749µs] or [-0.024%; +0.024%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21858463.501op/s; 21869057.084op/s] or [-0.024%; +0.024%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.614µs; 6.619µs] or [-0.037%; +0.037%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [151082580.976op/s; 151194898.892op/s] or [-0.037%; +0.037%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
single_flag_killswitch/rules-based execution_time 190.929ns 193.317ns ± 1.802ns 193.111ns ± 1.334ns 194.239ns 196.559ns 198.742ns 199.929ns 3.53% 0.854 0.471 0.93% 0.127ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
single_flag_killswitch/rules-based execution_time [193.068ns; 193.567ns] or [-0.129%; +0.129%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample2_frames_x1000 execution_time 746.999µs 747.738µs ± 0.434µs 747.687µs ± 0.286µs 747.981µs 748.522µs 749.123µs 749.236µs 0.21% 0.930 1.128 0.06% 0.031µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample2_frames_x1000 execution_time [747.678µs; 747.798µs] or [-0.008%; +0.008%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time 186.037µs 186.801µs ± 0.717µs 186.625µs ± 0.251µs 186.848µs 188.576µs 189.290µs 190.352µs 2.00% 2.374 6.067 0.38% 0.051µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5253434.203op/s 5353375.805op/s ± 20371.469op/s 5358326.355op/s ± 7211.456op/s 5365703.010op/s 5371275.379op/s 5372749.240op/s 5375271.199op/s 0.32% -2.346 5.902 0.38% 1440.480op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.819µs 17.899µs ± 0.041µs 17.895µs ± 0.026µs 17.925µs 17.956µs 17.991µs 18.174µs 1.56% 1.655 9.529 0.23% 0.003µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55022184.575op/s 55870800.356op/s ± 126028.003op/s 55882174.118op/s ± 81653.510op/s 55954742.488op/s 56047893.937op/s 56102026.500op/s 56118892.826op/s 0.42% -1.597 9.064 0.23% 8911.526op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.190µs 10.400µs ± 0.184µs 10.305µs ± 0.043µs 10.624µs 10.723µs 10.758µs 10.793µs 4.74% 0.892 -0.981 1.77% 0.013µs 1 200
normalization/normalize_name/normalize_name/good throughput 92654076.007op/s 96186864.657op/s ± 1675871.347op/s 97043838.978op/s ± 403448.271op/s 97379872.903op/s 97725375.492op/s 97876580.274op/s 98140096.475op/s 1.13% -0.881 -1.000 1.74% 118501.999op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time [186.701µs; 186.900µs] or [-0.053%; +0.053%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5350552.515op/s; 5356199.095op/s] or [-0.053%; +0.053%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.893µs; 17.904µs] or [-0.031%; +0.031%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55853334.087op/s; 55888266.625op/s] or [-0.031%; +0.031%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.374µs; 10.425µs] or [-0.245%; +0.245%] None None None
normalization/normalize_name/normalize_name/good throughput [95954605.006op/s; 96419124.308op/s] or [-0.241%; +0.241%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching deserializing traces from msgpack to their internal representation execution_time 48.129ms 48.557ms ± 1.370ms 48.362ms ± 0.063ms 48.459ms 48.628ms 57.019ms 60.996ms 26.12% 8.147 66.205 2.81% 0.097ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching deserializing traces from msgpack to their internal representation execution_time [48.367ms; 48.747ms] or [-0.391%; +0.391%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
receiver_entry_point/report/2598 execution_time 3.407ms 3.445ms ± 0.032ms 3.434ms ± 0.015ms 3.460ms 3.498ms 3.526ms 3.683ms 7.23% 2.650 14.388 0.92% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2598 execution_time [3.440ms; 3.449ms] or [-0.128%; +0.128%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sdk_test_data/rules-based execution_time 144.423µs 146.516µs ± 1.712µs 146.208µs ± 0.558µs 146.869µs 148.428µs 154.086µs 161.701µs 10.60% 5.229 37.841 1.17% 0.121µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [146.278µs; 146.753µs] or [-0.162%; +0.162%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
concentrator/add_spans_to_concentrator execution_time 12.930ms 12.953ms ± 0.014ms 12.951ms ± 0.009ms 12.960ms 12.978ms 12.987ms 13.042ms 0.71% 1.587 6.574 0.11% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
concentrator/add_spans_to_concentrator execution_time [12.951ms; 12.955ms] or [-0.015%; +0.015%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 161.715µs 162.215µs ± 0.581µs 162.135µs ± 0.117µs 162.248µs 162.635µs 163.055µs 169.630µs 4.62% 10.591 131.655 0.36% 0.041µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [162.134µs; 162.295µs] or [-0.050%; +0.050%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
write only interface execution_time 1.178µs 3.155µs ± 1.406µs 2.986µs ± 0.024µs 3.005µs 3.401µs 13.642µs 14.928µs 400.03% 7.498 56.881 44.46% 0.099µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [2.960µs; 3.350µs] or [-6.177%; +6.177%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time 495.265µs 496.058µs ± 0.472µs 496.004µs ± 0.264µs 496.272µs 496.718µs 497.361µs 499.591µs 0.72% 2.608 15.225 0.09% 0.033µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2001635.781op/s 2015896.632op/s ± 1913.779op/s 2016114.693op/s ± 1071.619op/s 2017143.422op/s 2018188.023op/s 2018804.179op/s 2019122.662op/s 0.15% -2.578 14.947 0.09% 135.325op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 369.592µs 370.355µs ± 0.292µs 370.354µs ± 0.212µs 370.564µs 370.846µs 370.908µs 371.325µs 0.26% 0.023 -0.205 0.08% 0.021µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2693057.695op/s 2700111.615op/s ± 2130.956op/s 2700116.493op/s ± 1549.672op/s 2701654.264op/s 2703655.463op/s 2704660.629op/s 2705687.543op/s 0.21% -0.019 -0.208 0.08% 150.681op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 168.655µs 168.906µs ± 0.126µs 168.892µs ± 0.085µs 168.984µs 169.107µs 169.268µs 169.349µs 0.27% 0.543 0.487 0.07% 0.009µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5904966.296op/s 5920448.924op/s ± 4422.946op/s 5920953.345op/s ± 2984.260op/s 5923711.550op/s 5926951.346op/s 5928892.787op/s 5929251.618op/s 0.14% -0.538 0.477 0.07% 312.750op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.795µs 36.976µs ± 0.090µs 36.990µs ± 0.064µs 37.047µs 37.108µs 37.132µs 37.174µs 0.50% -0.230 -0.936 0.24% 0.006µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26900807.862op/s 27044972.577op/s ± 65966.895op/s 27034138.863op/s ± 47054.934op/s 27097030.335op/s 27156868.861op/s 27169801.032op/s 27177733.917op/s 0.53% 0.237 -0.935 0.24% 4664.564op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.183µs 46.303µs ± 0.079µs 46.291µs ± 0.037µs 46.333µs 46.414µs 46.481µs 47.078µs 1.70% 5.017 45.018 0.17% 0.006µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21241138.174op/s 21596913.176op/s ± 36508.867op/s 21602458.643op/s ± 17260.458op/s 21618570.638op/s 21633947.380op/s 21645465.617op/s 21653193.046op/s 0.23% -4.907 43.556 0.17% 2581.567op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time [495.992µs; 496.123µs] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2015631.401op/s; 2016161.864op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [370.315µs; 370.396µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2699816.285op/s; 2700406.945op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.889µs; 168.924µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5919835.946op/s; 5921061.902op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.963µs; 36.988µs] or [-0.034%; +0.034%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27035830.200op/s; 27054114.954op/s] or [-0.034%; +0.034%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.292µs; 46.314µs] or [-0.024%; +0.024%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21591853.398op/s; 21601972.954op/s] or [-0.023%; +0.023%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1510ec8 1773855880 brettlangdon/reduce.tracer.flare.crate.size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_frames_x1000 execution_time 4.129ms 4.134ms ± 0.002ms 4.133ms ± 0.001ms 4.135ms 4.137ms 4.139ms 4.147ms 0.33% 1.558 7.246 0.05% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.133ms; 4.134ms] or [-0.007%; +0.007%] None None None

Baseline

Omitted due to size.

anais-raison
anais-raison approved these changes Mar 18, 2026
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Good catch ! 👍

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dd-octo-sts bot commented Mar 18, 2026 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 100.36 MB 100.36 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.70 MB 8.70 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 117.03 MB 117.03 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.28 MB 11.28 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.18 MB 27.18 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 77.17 KB 77.17 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.11 MB 186.12 MB +0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 917.08 MB 917.08 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.94 MB 9.94 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 77.17 KB 77.17 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 24.78 MB 24.78 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.47 MB 51.47 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 22.98 MB 22.98 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 78.37 KB 78.37 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.30 MB 190.30 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 900.75 MB 900.75 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.54 MB 7.54 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 78.37 KB 78.37 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 26.52 MB 26.52 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.09 MB 47.09 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 87.57 MB 87.57 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.22 MB 10.22 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 109.90 MB 109.90 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.97 MB 11.97 MB 0% (0 B) 👌

@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot merged commit 2db515d into main Mar 18, 2026
95 checks passed
@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot deleted the brettlangdon/reduce.tracer.flare.crate.size branch March 18, 2026 19:06
bwoebi added a commit that referenced this pull request Mar 20, 2026
@bwoebi
Merge branch 'main' of github.com:DataDog/libdatadog into bob/prevent…
5d5ae75 
…-unprocessed

* 'main' of github.com:DataDog/libdatadog:
  feat(sidecar): add thread mode as fallback connection for restricted environments (#1447)
  feat(profiling-ffi): ProfilesDictionary_insert_strs (#1764)
  chore(release): merge release branch to main (#1760)
  fix(libdd-crashtracker-ffi)!: add missing fields for endpoint configuration (#1758)
  ci: prevent running macos tests on release branches (#1765)
  chore(datadog-tracer-flare): remove unnecessary features/deps (#1761)
  fix(profiling-ffi): Windows extern statics need __declspec(dllimport) (#1468)
  feat(profiling): thread id/name as well-known strs (#1757)
  ci: switch to ephemeral branches (#1731)
  chore(crashtracker): use weaker mem ordering for OP_COUNTERS (#1744)
  refactor(trace-utils)!: change header name type to accept dynamic values (#1722)
VianneyRuhlmann pushed a commit that referenced this pull request Mar 25, 2026
@brettlangdon @VianneyRuhlmann
chore(datadog-tracer-flare): remove unnecessary features/deps (#1761)
51d198f 
# What does this PR do?

Only included the necessary compression features used by the crate.

# Motivation

We have determined that adding tracer flare to dd-trace-py was the primary cause that pushed the library size limit over what is acceptable for datadog-lambda-python.

We found that `zip` was including all compression methods by default which take up a lot of space and are unused.

```
# Before
❯ ls -hal target/release/libdatadog_tracer_flare.*
-rw-r--r--@ 1 brett.langdon  staff   7.3K Mar 18 12:01 target/release/libdatadog_tracer_flare.d
-rw-r--r--@ 1 brett.langdon  staff   3.6M Mar 18 12:01 target/release/libdatadog_tracer_flare.rlib

# After
❯ ls -hal target/release/libdatadog_tracer_flare.*
-rw-r--r--@ 1 brett.langdon  staff   7.3K Mar 18 12:02 target/release/libdatadog_tracer_flare.d
-rw-r--r--@ 1 brett.langdon  staff   3.3M Mar 18 12:00 target/release/libdatadog_tracer_flare.rlib
```

# Additional Notes

Anything else we should know when reviewing?

# How to test the change?

Describe here in detail how the change can be validated.


Co-authored-by: brett.langdon <[email protected]>
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