-
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
remove gce
build tag
#32226
remove gce
build tag
#32226
Conversation
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=51207130 --os-family=ubuntu Note: This applies to commit 1ade5fd |
Uncompressed package size comparisonComparison with ancestor Diff per package
Decision |
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.
Agreed, the build tag doesn't remove any dependency so we should remove it
/merge |
Devflow running:
|
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: f028703 Optimization Goals: ✅ No significant changes detected
|
perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | quality_gate_idle_all_features | memory utilization | +0.49 | [+0.37, +0.61] | 1 | Logs bounds checks dashboard |
➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.41 | [-0.38, +1.20] | 1 | Logs |
➖ | quality_gate_logs | % cpu utilization | +0.36 | [-2.58, +3.29] | 1 | Logs |
➖ | file_tree | memory utilization | +0.16 | [+0.04, +0.29] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.06 | [-0.72, +0.83] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.03 | [-0.79, +0.84] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.02 | [-0.44, +0.49] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.01 | [-0.61, +0.64] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.01 | [-0.08, +0.10] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | -0.01 | [-0.80, +0.77] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.02 | [-0.86, +0.82] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.09 | [-0.15, -0.03] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.13 | [-0.99, +0.72] | 1 | Logs |
➖ | otel_to_otel_logs | ingress throughput | -0.49 | [-1.15, +0.17] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | -0.51 | [-0.56, -0.47] | 1 | Logs bounds checks dashboard |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.96 | [-1.69, -0.23] | 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_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.
- 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.
What does this PR do?
The
ec2
build tag is interesting because it allows to skip the dependency on the big and bulky aws-sdk-go(-v2). On the other hand thegce
build tag only gates some local code, and is not even gating the gce code, just the collection of google cloud compute tags. It's more confusing than valuable.This PR drops completely this build tag, making the behavior similar to the azure provider for example.
Motivation
Describe how you validated your changes
Possible Drawbacks / Trade-offs
Additional Notes