[fleet] First working set of databricks script e2e #31984
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Decision |
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=50761479 --os-family=ubuntuNote: This applies to commit 02cbdc0 |
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 90e7b91 Optimization Goals: ✅ No significant changes detected
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| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | quality_gate_logs | % cpu utilization | +2.17 | [-0.78, +5.11] | 1 | Logs |
| ➖ | otel_to_otel_logs | ingress throughput | +0.50 | [-0.16, +1.17] | 1 | Logs |
| ➖ | quality_gate_idle_all_features | memory utilization | +0.25 | [+0.15, +0.36] | 1 | Logs bounds checks dashboard |
| ➖ | file_tree | memory utilization | +0.18 | [+0.05, +0.31] | 1 | Logs |
| ➖ | file_to_blackhole_300ms_latency | egress throughput | +0.04 | [-0.59, +0.67] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency | egress throughput | +0.03 | [-0.79, +0.85] | 1 | Logs |
| ➖ | file_to_blackhole_500ms_latency | egress throughput | +0.03 | [-0.74, +0.80] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.02 | [-0.07, +0.10] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.02 | [-0.87, +0.91] | 1 | Logs |
| ➖ | file_to_blackhole_100ms_latency | egress throughput | +0.01 | [-0.77, +0.80] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.06 | [-0.91, +0.80] | 1 | Logs |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | -0.11 | [-0.21, -0.01] | 1 | Logs |
| ➖ | quality_gate_idle | memory utilization | -0.31 | [-0.36, -0.27] | 1 | Logs bounds checks dashboard |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.35 | [-1.08, +0.37] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.48 | [-1.26, +0.30] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.69 | [-1.15, -0.22] | 1 | Logs |
Bounds Checks: ❌ Failed
| perf | experiment | bounds_check_name | replicates_passed | links |
|---|---|---|---|---|
| ❌ | file_to_blackhole_0ms_latency_http2 | lost_bytes | 9/10 | |
| ❌ | 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_0ms_latency_http1 | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency_http1 | memory_usage | 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 | 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_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.
- 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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/merge |
Devflow running:
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What does this PR do?
Enforce that we don't break the install script for amd/arm and that databricks script install the proper packages!
I didn't cleanly setup the installer yet, just executing its setup on the script start as a temporary hack to make the e2e work
Motivation
Describe how you validated your changes
Possible Drawbacks / Trade-offs
Additional Notes