chore: Add README "redirect"

[lloeki]

What does this PR do?

Add README "redirect" to new repository

Motivation

Old versions Source Code link point to here

e.g see https://rubygems.org/gems/libdatadog/versions/28.0.2.1.0

Additional Notes

• Only looking at old version pages are affected
• Default page has proper Source Code link to new repository: https://rubygems.org/gems/libdatadog

How to test the change?

Read it.

[lloeki]

/merge

[gh-worker-devflow-routing-ef8351]

View all feedbacks in Devflow UI.

2026-03-16 14:45:47 UTC ℹ️ Start processing command /merge

---

2026-03-16 14:45:55 UTC ℹ️ MergeQueue: waiting for PR to be ready

This pull request is not mergeable according to GitHub. Common reasons include pending required checks, missing approvals, or merge conflicts — but it could also be blocked by other repository rules or settings.
It will be added to the queue as soon as checks pass and/or get approvals. View in MergeQueue UI.
Note: if you pushed new commits since the last approval, you may need additional approval.
You can remove it from the waiting list with /remove command.

---

2026-03-16 15:23:21 UTC ℹ️ MergeQueue: merge request added to the queue

The expected merge time in main is approximately 45m (p90).

---

2026-03-16 16:04:34 UTC ℹ️ MergeQueue: This merge request was merged

[ivoanjo]

👍 LGTM

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.41%. Comparing base (06257cf) to head (a8a7c5e).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1737      +/-   ##
==========================================
- Coverage   71.43%   71.41%   -0.02%     
==========================================
  Files         430      430              
  Lines       63994    63994              
==========================================
- Hits        45715    45704      -11     
- Misses      18279    18290      +11     

Components	Coverage Δ
libdd-crashtracker	63.86% <ø> (-0.02%)	⬇️
libdd-crashtracker-ffi	17.72% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	87.79% <ø> (ø)
libdd-data-pipeline-ffi	75.43% <ø> (ø)
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	80.47% <ø> (+0.11%)	⬆️
libdd-profiling	81.59% <ø> (-0.02%)	⬇️
libdd-profiling-ffi	63.65% <ø> (ø)
datadog-sidecar	32.73% <ø> (ø)
datdog-sidecar-ffi	9.11% <ø> (ø)
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	88.98% <ø> (ø)
datadog-tracer-flare	86.86% <ø> (ø)
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.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-16 14:58:30

Comparing candidate commit a8a7c5e in PR branch lloeki/add-ruby-readme-redirect with baseline commit 06257cf in branch main.

Found 0 performance improvements and 2 performance regressions! Performance is the same for 56 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:redis/obfuscate_redis_string

• 🟥 execution_time [+2.296µs; +2.697µs] or [+6.802%; +7.989%]

scenario:tags/replace_trace_tags

• 🟥 execution_time [+102.463ns; +109.886ns] or [+4.322%; +4.636%]

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	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	17.904µs	25.745µs ± 8.944µs	18.773µs ± 0.519µs	32.976µs	41.772µs	42.983µs	66.701µs	255.30%	0.949	0.730	34.65%	0.632µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.506µs; 26.985µs] or [-4.814%; +4.814%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	49.965ms	50.357ms ± 1.264ms	50.209ms ± 0.044ms	50.244ms	50.342ms	57.145ms	62.145ms	23.77%	8.373	70.644	2.50%	0.089ms	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	[50.182ms; 50.533ms] or [-0.348%; +0.348%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	3.403ms	3.426ms ± 0.015ms	3.424ms ± 0.008ms	3.433ms	3.454ms	3.488ms	3.508ms	2.47%	1.907	6.326	0.45%	0.001ms	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	[3.424ms; 3.429ms] or [-0.062%; +0.062%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	242.552ns	253.516ns ± 14.809ns	246.751ns ± 2.262ns	253.582ns	293.881ns	299.812ns	301.729ns	22.28%	2.017	2.962	5.83%	1.047ns	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	[251.464ns; 255.568ns] or [-0.810%; +0.810%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	4.962µs	5.028µs ± 0.052µs	5.015µs ± 0.033µs	5.048µs	5.134µs	5.139µs	5.144µs	2.56%	0.847	-0.431	1.04%	0.004µs	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	[5.021µs; 5.036µs] or [-0.145%; +0.145%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	3.896µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.919µs	3.919µs	0.14%	-1.110	6.323	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255168790.261op/s	255544205.901op/s ± 177367.760op/s	255533178.122op/s ± 109088.691op/s	255653335.679op/s	255789623.243op/s	255874492.306op/s	256653073.225op/s	0.44%	1.125	6.422	0.07%	12541.795op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	73.853µs	74.642µs ± 0.721µs	74.522µs ± 0.575µs	75.110µs	75.918µs	76.744µs	77.342µs	3.79%	0.909	0.527	0.96%	0.051µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12929511.871op/s	13398445.032op/s ± 128377.615op/s	13418899.854op/s ± 103718.513op/s	13521814.307op/s	13532575.668op/s	13537637.843op/s	13540467.455op/s	0.91%	-0.861	0.362	0.96%	9077.668op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.612µs	67.735µs ± 0.074µs	67.730µs ± 0.042µs	67.772µs	67.836µs	67.869µs	68.383µs	0.96%	3.469	28.336	0.11%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14623534.880op/s	14763403.779op/s ± 15972.551op/s	14764531.167op/s ± 9139.198op/s	14773657.092op/s	14783894.057op/s	14787492.092op/s	14790177.843op/s	0.17%	-3.410	27.667	0.11%	1129.430op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.897µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.921µs	3.922µs	0.27%	0.253	7.804	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254964176.437op/s	255626017.042op/s ± 169100.185op/s	255639956.616op/s ± 86611.504op/s	255728076.480op/s	255810905.225op/s	255883229.608op/s	256619617.396op/s	0.38%	-0.234	7.865	0.07%	11957.189op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.424µs	64.521µs ± 0.050µs	64.515µs ± 0.034µs	64.552µs	64.608µs	64.640µs	64.714µs	0.31%	0.626	0.532	0.08%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15452576.044op/s	15498822.651op/s ± 12059.374op/s	15500206.153op/s ± 8226.834op/s	15507605.705op/s	15516069.994op/s	15520766.057op/s	15522174.979op/s	0.14%	-0.621	0.520	0.08%	852.726op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	44.852µs	45.189µs ± 0.141µs	45.197µs ± 0.095µs	45.288µs	45.408µs	45.509µs	45.555µs	0.79%	-0.113	-0.358	0.31%	0.010µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21951296.204op/s	22129255.072op/s ± 68834.545op/s	22125540.978op/s ± 46559.186op/s	22174110.617op/s	22247719.467op/s	22282076.601op/s	22295518.460op/s	0.77%	0.128	-0.358	0.31%	4867.337op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.028µs	6.035µs ± 0.006µs	6.034µs ± 0.002µs	6.036µs	6.041µs	6.049µs	6.107µs	1.22%	7.826	85.814	0.10%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163741297.046op/s	165710159.485op/s ± 171897.992op/s	165734601.127op/s ± 59687.260op/s	165791809.886op/s	165856723.830op/s	165881716.820op/s	165892568.053op/s	0.10%	-7.743	84.508	0.10%	12155.024op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.892µs	3.911µs ± 0.002µs	3.911µs ± 0.001µs	3.912µs	3.915µs	3.917µs	3.918µs	0.16%	-2.254	19.388	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255257536.586op/s	255665788.371op/s ± 157499.761op/s	255661714.660op/s ± 82605.832op/s	255751450.800op/s	255866036.589op/s	255921472.907op/s	256933124.839op/s	0.50%	2.284	19.668	0.06%	11136.915op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.082µs	65.538µs ± 0.083µs	65.541µs ± 0.050µs	65.586µs	65.680µs	65.729µs	65.772µs	0.35%	-0.552	3.754	0.13%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15203944.519op/s	15258328.999op/s ± 19256.444op/s	15257691.186op/s ± 11746.756op/s	15271514.052op/s	15286287.130op/s	15291318.768op/s	15365162.116op/s	0.70%	0.573	3.854	0.13%	1361.636op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	52.959µs	53.017µs ± 0.035µs	53.013µs ± 0.020µs	53.035µs	53.083µs	53.131µs	53.149µs	0.26%	0.996	1.500	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18815053.795op/s	18861969.859op/s ± 12421.705op/s	18863419.114op/s ± 7267.161op/s	18870339.600op/s	18879760.519op/s	18881784.044op/s	18882592.138op/s	0.10%	-0.991	1.486	0.07%	878.347op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.916µs	3.917µs	3.923µs	0.27%	-0.953	8.075	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254908712.375op/s	255609961.338op/s ± 175290.654op/s	255603829.062op/s ± 124006.914op/s	255739780.323op/s	255841920.630op/s	255907662.935op/s	256743688.769op/s	0.45%	0.972	8.183	0.07%	12394.921op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	49.744µs	49.810µs ± 0.067µs	49.800µs ± 0.017µs	49.820µs	49.864µs	49.929µs	50.476µs	1.36%	7.356	64.858	0.14%	0.005µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19811567.353op/s	20076298.235op/s ± 26936.587op/s	20080499.827op/s ± 6796.967op/s	20085950.882op/s	20097049.452op/s	20101782.707op/s	20102993.336op/s	0.11%	-7.304	64.188	0.13%	1904.704op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	44.840µs	45.187µs ± 0.134µs	45.202µs ± 0.088µs	45.284µs	45.393µs	45.436µs	45.515µs	0.69%	-0.286	-0.407	0.30%	0.009µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21970974.561op/s	22130581.018op/s ± 65835.904op/s	22122888.462op/s ± 43261.611op/s	22166909.296op/s	22252598.134op/s	22273888.764op/s	22301388.804op/s	0.81%	0.300	-0.399	0.30%	4655.301op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.028µs	6.036µs ± 0.009µs	6.035µs ± 0.002µs	6.037µs	6.042µs	6.104µs	6.107µs	1.20%	6.296	44.367	0.15%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163752184.145op/s	165680853.912op/s ± 253998.066op/s	165713729.383op/s ± 67302.343op/s	165786138.334op/s	165850052.011op/s	165884750.824op/s	165892651.136op/s	0.11%	-6.265	44.058	0.15%	17960.376op/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	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255519624.436op/s; 255568787.367op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[74.542µs; 74.742µs] or [-0.134%; +0.134%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[13380653.130op/s; 13416236.935op/s] or [-0.133%; +0.133%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.725µs; 67.745µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14761190.137op/s; 14765617.421op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255602581.382op/s; 255649452.701op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.514µs; 64.528µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15497151.338op/s; 15500493.964op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.170µs; 45.209µs] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[22119715.266op/s; 22138794.878op/s] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.034µs; 6.036µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165686336.077op/s; 165733982.894op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255643960.419op/s; 255687616.323op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.527µs; 65.550µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15255660.241op/s; 15260997.757op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.012µs; 53.022µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18860248.330op/s; 18863691.387op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255585667.739op/s; 255634254.936op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[49.801µs; 49.819µs] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[20072565.083op/s; 20080031.386op/s] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.168µs; 45.205µs] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[22121456.795op/s; 22139705.241op/s] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.034µs; 6.037µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165645652.223op/s; 165716055.601op/s] or [-0.021%; +0.021%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	732.161µs	734.743µs ± 1.015µs	734.533µs ± 0.526µs	735.318µs	736.288µs	737.182µs	741.209µs	0.91%	1.531	7.558	0.14%	0.072µs	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	[734.602µs; 734.883µs] or [-0.019%; +0.019%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	13.094ms	13.126ms ± 0.016ms	13.125ms ± 0.010ms	13.135ms	13.151ms	13.176ms	13.207ms	0.63%	1.064	2.851	0.12%	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	[13.124ms; 13.129ms] or [-0.017%; +0.017%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	185.247µs	186.059µs ± 0.613µs	185.825µs ± 0.222µs	186.235µs	187.333µs	187.914µs	188.031µs	1.19%	1.350	1.043	0.33%	0.043µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5318276.230op/s	5374686.668op/s ± 17637.482op/s	5381410.858op/s ± 6422.147op/s	5386309.484op/s	5391941.982op/s	5395718.101op/s	5398206.095op/s	0.31%	-1.338	1.002	0.33%	1247.158op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.008µs	18.079µs ± 0.035µs	18.079µs ± 0.025µs	18.103µs	18.133µs	18.165µs	18.207µs	0.71%	0.371	0.245	0.19%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54923905.218op/s	55313245.189op/s ± 105594.760op/s	55313762.731op/s ± 77122.058op/s	55394347.748op/s	55481338.990op/s	55520779.243op/s	55530129.954op/s	0.39%	-0.359	0.218	0.19%	7466.677op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.851µs	9.909µs ± 0.062µs	9.874µs ± 0.007µs	9.943µs	10.045µs	10.088µs	10.121µs	2.50%	1.451	1.054	0.62%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	98805640.391op/s	100920282.758op/s ± 625443.464op/s	101271027.540op/s ± 70451.719op/s	101317875.120op/s	101376483.041op/s	101478227.238op/s	101510522.367op/s	0.24%	-1.433	0.979	0.62%	44225.531op/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	[185.974µs; 186.144µs] or [-0.046%; +0.046%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5372242.283op/s; 5377131.053op/s] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.074µs; 18.084µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55298610.771op/s; 55327879.608op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.901µs; 9.918µs] or [-0.087%; +0.087%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[100833602.309op/s; 101006963.207op/s] or [-0.086%; +0.086%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	533.856µs	534.743µs ± 0.512µs	534.648µs ± 0.253µs	534.931µs	535.874µs	536.337µs	537.189µs	0.48%	1.536	3.456	0.10%	0.036µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1861542.621op/s	1870058.106op/s ± 1789.061op/s	1870390.725op/s ± 886.424op/s	1871193.635op/s	1872226.438op/s	1872946.547op/s	1873164.918op/s	0.15%	-1.527	3.417	0.10%	126.506op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	381.658µs	382.210µs ± 0.349µs	382.162µs ± 0.184µs	382.369µs	382.770µs	382.996µs	384.867µs	0.71%	2.631	15.819	0.09%	0.025µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2598300.486op/s	2616363.017op/s ± 2385.292op/s	2616694.477op/s ± 1263.749op/s	2617885.445op/s	2619292.100op/s	2619870.068op/s	2620149.519op/s	0.13%	-2.601	15.529	0.09%	168.666op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	193.378µs	193.957µs ± 0.348µs	193.920µs ± 0.141µs	194.068µs	194.274µs	194.496µs	198.008µs	2.11%	7.961	90.289	0.18%	0.025µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5050296.971op/s	5155802.379op/s ± 9116.692op/s	5156767.776op/s ± 3754.121op/s	5159841.363op/s	5163844.156op/s	5165859.817op/s	5171217.656op/s	0.28%	-7.807	87.913	0.18%	644.647op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	35.987µs	36.208µs ± 0.078µs	36.204µs ± 0.056µs	36.265µs	36.343µs	36.371µs	36.422µs	0.60%	-0.013	-0.256	0.21%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27456050.877op/s	27618239.716op/s ± 59266.252op/s	27621136.048op/s ± 42692.784op/s	27658022.938op/s	27712933.850op/s	27745441.961op/s	27787852.436op/s	0.60%	0.024	-0.255	0.21%	4190.757op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.995µs	45.085µs ± 0.094µs	45.076µs ± 0.022µs	45.099µs	45.133µs	45.183µs	46.315µs	2.75%	11.314	145.626	0.21%	0.007µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21591485.421op/s	22180574.481op/s ± 45146.017op/s	22184610.654op/s ± 10652.084op/s	22194435.891op/s	22210829.065op/s	22217299.436op/s	22224928.094op/s	0.18%	-11.191	143.480	0.20%	3192.305op/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	[534.672µs; 534.814µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1869810.160op/s; 1870306.053op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[382.162µs; 382.259µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2616032.439op/s; 2616693.596op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[193.909µs; 194.005µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5154538.893op/s; 5157065.865op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.197µs; 36.219µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27610025.983op/s; 27626453.449op/s] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.072µs; 45.098µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22174317.677op/s; 22186831.284op/s] or [-0.028%; +0.028%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	1.200µs	3.202µs ± 1.427µs	3.035µs ± 0.022µs	3.055µs	3.357µs	13.831µs	15.189µs	400.41%	7.517	57.108	44.44%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.005µs; 3.400µs] or [-6.175%; +6.175%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	144.034µs	146.153µs ± 1.707µs	145.882µs ± 0.510µs	146.417µs	148.129µs	153.117µs	162.677µs	11.51%	5.892	47.632	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	[145.916µs; 146.389µs] or [-0.162%; +0.162%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	160.840µs	161.553µs ± 0.385µs	161.523µs ± 0.131µs	161.644µs	161.990µs	162.537µs	165.529µs	2.48%	5.811	55.801	0.24%	0.027µs	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	[161.500µs; 161.606µs] or [-0.033%; +0.033%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	35.705µs	36.251µs ± 0.963µs	35.811µs ± 0.060µs	35.926µs	38.222µs	38.295µs	40.992µs	14.47%	1.956	2.939	2.65%	0.068µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[36.117µs; 36.384µs] or [-0.368%; +0.368%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	190.756ns	193.408ns ± 2.034ns	193.314ns ± 1.404ns	194.367ns	197.188ns	199.275ns	200.995ns	3.97%	0.952	1.080	1.05%	0.144ns	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	[193.126ns; 193.690ns] or [-0.146%; +0.146%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	14.037ms	14.093ms ± 0.031ms	14.088ms ± 0.013ms	14.103ms	14.158ms	14.219ms	14.273ms	1.32%	2.278	8.495	0.22%	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	[14.089ms; 14.097ms] or [-0.030%; +0.030%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	2.448µs	2.477µs ± 0.015µs	2.472µs ± 0.009µs	2.486µs	2.509µs	2.517µs	2.521µs	1.99%	0.994	0.288	0.62%	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	[2.475µs; 2.479µs] or [-0.086%; +0.086%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	4.132ms	4.142ms ± 0.009ms	4.141ms ± 0.001ms	4.142ms	4.145ms	4.173ms	4.233ms	2.23%	7.269	65.963	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_frames_x1000	execution_time	[4.141ms; 4.143ms] or [-0.029%; +0.029%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	a8a7c5e	1773671947	lloeki/add-ruby-readme-redirect

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	87.676µs	88.147µs ± 0.303µs	88.087µs ± 0.211µs	88.351µs	88.622µs	88.780µs	89.729µs	1.86%	1.240	3.173	0.34%	0.021µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[88.105µs; 88.189µs] or [-0.048%; +0.048%]	None	None	None

Baseline

Omitted due to size.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	100.39 MB	100.39 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.so	11.28 MB	11.28 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	117.08 MB	117.08 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	76.61 KB	76.61 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.16 MB	186.15 MB	-0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.36 MB	917.36 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	76.61 KB	76.61 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	51.46 MB	51.46 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.97 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.80 KB	77.80 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.30 MB	190.28 MB	--.01% (-24.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	901.02 MB	901.02 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	77.80 KB	77.80 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.53 MB	26.53 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.08 MB	47.08 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.60 MB	87.60 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	109.95 MB	109.95 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.96 MB	11.96 MB	0% (0 B) 👌