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DataDog / saluki

An experimental toolkit for building telemetry data planes in Rust.
Apache License 2.0
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chore: update dependencies #206

Closed tobz closed 3 weeks ago

tobz commented 3 weeks ago

Context

As stated in the PR title.

Just doing it all in one shot -- including things Dependabot didn't touch -- and doing it as a PR to make sure there's no obvious performance regressions.

pr-commenter[bot] commented 3 weeks ago

Regression Detector (Saluki)

Regression Detector Results

Run ID: 0a78690d-b66a-4c69-ab85-a02e23f2525a

Baseline: f0a8b4c7b06e49a9f97f4067cf2a94cabd1cfbed Comparison: 998333a0a1a3a0e1aae17f04e7dabfaa12fb8954

Performance changes are noted in the perf column of each table:

No significant changes in experiment optimization goals

Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

| perf | experiment | goal | Δ mean % | Δ mean % CI | links | |------|-------------------------------------------------|--------------------|----------|----------------|-------| | ➖ | dsd_uds_500mb_3k_contexts | ingress throughput | +2.00 | [+1.90, +2.10] | | | ➖ | dsd_uds_1mb_50k_contexts_memlimit | ingress throughput | +0.13 | [-3.18, +3.44] | | | ➖ | dsd_uds_10mb_3k_contexts | ingress throughput | +0.01 | [-0.07, +0.10] | | | ➖ | dsd_uds_1mb_50k_contexts | ingress throughput | +0.01 | [-0.00, +0.03] | | | ➖ | dsd_uds_50mb_10k_contexts_no_inlining | ingress throughput | +0.01 | [-0.05, +0.06] | | | ➖ | dsd_uds_100mb_3k_contexts | ingress throughput | -0.00 | [-0.01, +0.01] | | | ➖ | dsd_uds_512kb_3k_contexts | ingress throughput | -0.00 | [-0.10, +0.10] | | | ➖ | dsd_uds_1mb_3k_contexts | ingress throughput | -0.01 | [-0.06, +0.05] | | | ➖ | dsd_uds_50mb_10k_contexts_no_inlining_no_allocs | ingress throughput | -0.01 | [-0.06, +0.04] | | | ➖ | dsd_uds_100mb_250k_contexts | ingress throughput | -0.06 | [-0.35, +0.22] | | | ➖ | dsd_uds_100mb_3k_contexts_distributions_only | memory utilization | -1.04 | [-1.17, -0.91] | |

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI". For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true: 1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look. 2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that *if our statistical model is accurate*, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants. 3. Its configuration does not mark it "erratic".
pr-commenter[bot] commented 3 weeks ago

Regression Detector (DogStatsD)

Regression Detector Results

Run ID: 67c5eb79-8df5-4996-9659-7dae3a51f88c

Baseline: 7.52.0 Comparison: 7.52.1

Performance changes are noted in the perf column of each table:

No significant changes in experiment optimization goals

Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

| perf | experiment | goal | Δ mean % | Δ mean % CI | links | |------|----------------------------------------------|--------------------|----------|----------------|-------| | ➖ | dsd_uds_100mb_250k_contexts | ingress throughput | +0.01 | [-0.04, +0.06] | | | ➖ | dsd_uds_500mb_3k_contexts | ingress throughput | +0.00 | [-0.02, +0.02] | | | ➖ | dsd_uds_10mb_3k_contexts | ingress throughput | -0.01 | [-0.03, +0.01] | | | ➖ | dsd_uds_1mb_3k_contexts | ingress throughput | -0.02 | [-0.07, +0.03] | | | ➖ | dsd_uds_1mb_50k_contexts_memlimit | ingress throughput | -0.02 | [-0.05, +0.02] | | | ➖ | dsd_uds_512kb_3k_contexts | ingress throughput | -0.02 | [-0.06, +0.03] | | | ➖ | dsd_uds_1mb_50k_contexts | ingress throughput | -0.02 | [-0.04, +0.01] | | | ➖ | dsd_uds_100mb_3k_contexts | ingress throughput | -0.02 | [-0.03, -0.01] | | | ➖ | dsd_uds_100mb_3k_contexts_distributions_only | memory utilization | -1.10 | [-1.32, -0.88] | |

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI". For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true: 1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look. 2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that *if our statistical model is accurate*, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants. 3. Its configuration does not mark it "erratic".
pr-commenter[bot] commented 3 weeks ago

Regression Detector Links

Experiment Result Links

experiment link(s)
dsd_uds_100mb_250k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_100mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_100mb_3k_contexts_distributions_only [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_10mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_50k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_50k_contexts_memlimit [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_500mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_512kb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_50mb_10k_contexts_no_inlining (ADP only) [Profiling (ADP)] [SMP Dashboard]
dsd_uds_50mb_10k_contexts_no_inlining_no_allocs (ADP only) [Profiling (ADP)] [SMP Dashboard]