-
Notifications
You must be signed in to change notification settings - Fork 1.2k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[CSM] Track image tags of syscalls in activity trees #27483
Conversation
3bda2c7
to
e3884f3
Compare
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 0a2d548 Optimization Goals: ✅ No significant changes detected
|
perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | quality_gate_idle_all_features | memory utilization | +0.79 | [+0.68, +0.91] | 1 | Logs bounds checks dashboard |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.77 | [+0.04, +1.51] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | +0.56 | [+0.51, +0.61] | 1 | Logs bounds checks dashboard |
➖ | basic_py_check | % cpu utilization | +0.46 | [-3.39, +4.31] | 1 | Logs |
➖ | otel_to_otel_logs | ingress throughput | +0.41 | [-0.26, +1.08] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.31 | [-0.45, +1.08] | 1 | Logs |
➖ | file_tree | memory utilization | +0.15 | [+0.03, +0.28] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.11 | [-0.52, +0.73] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.06 | [-0.40, +0.53] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.01 | [-0.09, +0.10] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.02, +0.02] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | -0.01 | [-0.77, +0.76] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.04 | [-0.85, +0.77] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.49 | [-1.29, +0.31] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.61 | [-0.69, -0.53] | 1 | Logs |
➖ | pycheck_lots_of_tags | % cpu utilization | -1.08 | [-4.45, +2.29] | 1 | Logs |
Bounds Checks: ❌ Failed
perf | experiment | bounds_check_name | replicates_passed | links |
---|---|---|---|---|
❌ | file_to_blackhole_1000ms_latency | lost_bytes | 0/10 | |
❌ | file_to_blackhole_300ms_latency | lost_bytes | 9/10 | |
✅ | file_to_blackhole_0ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency | 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 | 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 |
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_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.
f0ba9b9
to
6377ea5
Compare
Test changes on VMUse this command from test-infra-definitions to manually test this PR changes on a VM: inv create-vm --pipeline-id=49357010 --os-family=ubuntu Note: This applies to commit ba2ea25 |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Just a small NIT, otherwise LGTM :)
It would be great to add some functional tests too |
@Gui774ume Can you please and merge if applicable ? |
2acfd3d
to
606e0ff
Compare
606e0ff
to
011087a
Compare
/merge |
Devflow running:
|
/merge -c |
/merge |
Devflow running:
|
48cab3d
to
148ec03
Compare
148ec03
to
ba2ea25
Compare
/merge |
Devflow running:
|
This reverts commit 83e319e.
What does this PR do?
This PR isolates syscalls entries in activity trees into their own
SyscallNode
struct. This is done so that we start tracking syscalls per image tags. This is a 2 step PR, next step is to update the protobuf to record these image tags.Motivation
Make sure syscalls are tracked like any other resources.
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes