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Remove plugin import from containerd #32538
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Go Package Import DifferencesBaseline: 41d6bc3
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Uncompressed package size comparisonComparison with ancestor Diff per package
Decision |
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 41d6bc3 Optimization Goals: ✅ Improvement(s) detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | quality_gate_logs | % cpu utilization | +4.02 | [+0.73, +7.30] | 1 | Logs |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +2.04 | [+1.35, +2.73] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | +1.07 | [+1.00, +1.14] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.45 | [-0.34, +1.25] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.10 | [-0.82, +1.02] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | +0.08 | [-0.81, +0.96] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | +0.03 | [-0.83, +0.90] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.01 | [-0.11, +0.13] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.02] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | -0.00 | [-0.65, +0.65] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | -0.03 | [-0.67, +0.61] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.03 | [-0.50, +0.43] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | -0.26 | [-1.05, +0.52] | 1 | Logs |
✅ | quality_gate_idle_all_features | memory utilization | -5.01 | [-5.10, -4.93] | 1 | Logs bounds checks dashboard |
✅ | file_tree | memory utilization | -5.63 | [-5.75, -5.50] | 1 | Logs |
✅ | quality_gate_idle | memory utilization | -6.34 | [-6.37, -6.30] | 1 | Logs bounds checks dashboard |
Bounds Checks: ✅ Passed
perf | experiment | bounds_check_name | replicates_passed | links |
---|---|---|---|---|
✅ | file_to_blackhole_0ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http1 | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http1 | memory_usage | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http2 | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http2 | memory_usage | 10/10 | |
✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_1000ms_latency_linear_load | memory_usage | 10/10 | |
✅ | file_to_blackhole_100ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_300ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_300ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_500ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 | |
✅ | quality_gate_idle | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_logs | lost_bytes | 10/10 | |
✅ | quality_gate_logs | memory_usage | 10/10 |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
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:
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Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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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.
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Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
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Minor comment, LGTM otherwise.
/merge |
Devflow running:
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What does this PR do?
Remove the import to std
plugin
package in https://github.com/containerd/containerd.See containerd/containerd#11202 for details.
This PR pins
containerd
version to the merge commit adding the build tag.Motivation
On amd64,
containerd
importsplugin
.I believe the import partially disables dead code elimination and/or prevents shortening symbol names, so I expect seeing binary size reduction on amd64.
EDIT: the core agent alone is reduced from 218MB to 150MB, a 31% reduction !
Overall it reduces
dogstatsd
package by 20MB and the agent package by 186MB, see this comment for details.It also reduces measured RSS by around 25MB in
quality_gate_idle
and 35MB inquality_gate_idle_all_features
.Describe how you validated your changes
The only code change is disabling
containerd
plugins, which we are not using.Possible Drawbacks / Trade-offs
Additional Notes
Using the existing
static_build
tag would also work, but it is used by many other packages so I was worried of unexpected behavior changes if we used it.For the record using containerd v2 should also fix the issue but it's not that easy to do.