-
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
chore(fleet): Add datadog-secret-backend to the agent packages #31659
base: main
Are you sure you want to change the base?
Conversation
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: c04b9f0 Optimization Goals: ✅ No significant changes detected
|
perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | basic_py_check | % cpu utilization | +2.87 | [-1.11, +6.86] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | +1.54 | [+1.42, +1.65] | 1 | Logs bounds checks dashboard |
➖ | pycheck_lots_of_tags | % cpu utilization | +1.47 | [-2.00, +4.93] | 1 | Logs |
➖ | quality_gate_logs | % cpu utilization | +1.10 | [-1.88, +4.08] | 1 | Logs |
➖ | otel_to_otel_logs | ingress throughput | +1.08 | [+0.41, +1.76] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.78 | [+0.01, +1.56] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | +0.67 | [+0.62, +0.71] | 1 | Logs bounds checks dashboard |
➖ | tcp_syslog_to_blackhole | ingress throughput | +0.22 | [+0.17, +0.28] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.13 | [-0.65, +0.90] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | +0.02 | [-0.70, +0.75] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.11, +0.12] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.01 | [-0.89, +0.86] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | -0.02 | [-0.65, +0.61] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.04 | [-0.49, +0.41] | 1 | Logs |
➖ | file_tree | memory utilization | -0.71 | [-0.84, -0.57] | 1 | Logs |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -1.40 | [-2.13, -0.67] | 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_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 memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
6cad328
to
3fafa63
Compare
3fafa63
to
8ebf11f
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=50262053 --os-family=ubuntu Note: This applies to commit 1385fb2 |
9e81f27
to
41f924a
Compare
de1f6fd
to
275d0a8
Compare
275d0a8
to
23618b0
Compare
c380701
to
5448458
Compare
5448458
to
1385fb2
Compare
What does this PR do?
Motivation
Describe how you validated your changes
Possible Drawbacks / Trade-offs
Additional Notes