TCP data via kprobes #32000
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TCP data via kprobes #32000
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Test changes on VMUse this command from test-infra-definitions to manually test this PR changes on a VM: inv aws.create-vm --pipeline-id=51836440 --os-family=ubuntuNote: This applies to commit b5b47cf |
Package size comparisonComparison with ancestor Diff per package
Decision |
eBPF complexity changesSummary result: ❗ - significant complexity increases
tracer detailstracer [programs with changes]
tracer [programs without changes]
usm detailsusm [programs with changes]
usm [programs without changes]
This report was generated based on the complexity data for the current branch vincent.whitchurch/tcp-kprobes (pipeline 51836440, commit b5b47cf) and the base branch main (commit 234771b). Objects without changes are not reported. Contact #ebpf-platform if you have any questions/feedback. Table complexity legend: 🔵 - new; ⚪ - unchanged; 🟢 - reduced; 🔴 - increased |
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 234771b Optimization Goals: ✅ No significant changes detected
|
| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.42 | [+0.36, +0.49] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.39 | [-0.08, +0.86] | 1 | Logs |
| ➖ | quality_gate_idle_all_features | memory utilization | +0.16 | [+0.08, +0.24] | 1 | Logs bounds checks dashboard |
| ➖ | file_to_blackhole_100ms_latency | egress throughput | +0.02 | [-0.63, +0.67] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.01 | [-0.76, +0.79] | 1 | Logs |
| ➖ | file_to_blackhole_300ms_latency | egress throughput | +0.01 | [-0.63, +0.65] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | +0.01 | [-0.86, +0.87] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.00 | [-0.89, +0.90] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.01 | [-0.12, +0.10] | 1 | Logs |
| ➖ | file_to_blackhole_500ms_latency | egress throughput | -0.05 | [-0.83, +0.73] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency | egress throughput | -0.05 | [-0.94, +0.84] | 1 | Logs |
| ➖ | file_tree | memory utilization | -0.14 | [-0.27, -0.02] | 1 | Logs |
| ➖ | quality_gate_idle | memory utilization | -0.47 | [-0.50, -0.43] | 1 | Logs bounds checks dashboard |
| ➖ | quality_gate_logs | % cpu utilization | -0.58 | [-3.76, +2.61] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -1.32 | [-2.01, -0.63] | 1 | Logs |
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:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
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.
-
Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate 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.
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What does this PR do?
Motivation
https://datadoghq.atlassian.net/browse/USMON-1370
Describe how you validated your changes
Possible Drawbacks / Trade-offs
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