[NPM-3663] Include BTF availability in agent flare
What does this PR do?
This PR adds information about where we are loading BTF information from to the agent flare.
Motivation
This can tell us why CO-RE is running into issues, and particularly with our bundled BTF files, if we are correctly identifying the distro + kernel.
Describe how to test/QA your changes
TBD
Possible Drawbacks / Trade-offs
Additional Notes
Regression Detector
Regression Detector Results
Run ID: 0e175603-bcfa-4103-a8fc-6504b6886feb Metrics dashboard Target profiles
Baseline: 2f80c774f49f0164d3f03194a43741122d1961f2 Comparison: cf5c3b3956e2d73e1b8d533ccf90dca0a7dee598
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
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 | trials | links |
|---|---|---|---|---|---|---|
| ➖ | idle | memory utilization | +0.13 | [+0.08, +0.17] | 1 | Logs bounds checks dashboard |
| ➖ | file_to_blackhole_500ms_latency | egress throughput | +0.11 | [-0.14, +0.35] | 1 | Logs |
| ➖ | quality_gate_idle | memory utilization | +0.06 | [+0.02, +0.11] | 1 | Logs bounds checks dashboard |
| ➖ | quality_gate_idle_all_features | memory utilization | +0.06 | [-0.07, +0.18] | 1 | Logs bounds checks dashboard |
| ➖ | otel_to_otel_logs | ingress throughput | +0.03 | [-0.77, +0.84] | 1 | Logs |
| ➖ | file_to_blackhole_100ms_latency | egress throughput | +0.02 | [-0.21, +0.24] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency | egress throughput | +0.02 | [-0.33, +0.36] | 1 | Logs |
| ➖ | file_to_blackhole_300ms_latency | egress throughput | +0.00 | [-0.18, +0.18] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.09, +0.09] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.04 | [-0.53, +0.44] | 1 | Logs |
| ➖ | basic_py_check | % cpu utilization | -0.09 | [-2.82, +2.65] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.11 | [-0.83, +0.61] | 1 | Logs |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | -0.45 | [-0.50, -0.40] | 1 | Logs |
| ➖ | pycheck_lots_of_tags | % cpu utilization | -0.47 | [-2.98, +2.04] | 1 | Logs |
| ➖ | idle_all_features | memory utilization | -1.37 | [-1.50, -1.25] | 1 | Logs bounds checks dashboard |
| ➖ | file_tree | memory utilization | -2.56 | [-2.70, -2.41] | 1 | Logs |
Bounds Checks
| perf | experiment | bounds_check_name | replicates_passed |
|---|---|---|---|
| ✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 |
| ✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 |
| ✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 |
| ✅ | file_to_blackhole_300ms_latency | memory_usage | 10/10 |
| ✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 |
| ✅ | idle | memory_usage | 10/10 |
| ✅ | idle_all_features | memory_usage | 10/10 |
| ✅ | quality_gate_idle | memory_usage | 10/10 |
| ✅ | quality_gate_idle_all_features | memory_usage | 10/10 |
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:
-
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".
Test changes on VM
Use this command from test-infra-definitions to manually test this PR changes on a VM:
inv create-vm --pipeline-id=47989284 --os-family=ubuntu
Note: This applies to commit cf5c3b39
needs a release note (I think this is a good example of a time to include one)
/merge
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:steam_locomotive: MergeQueue: pull request added to the queue
The median merge time in main is 23m.
Use /merge -c to cancel this operation!