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[CONTINT-1093] run kind e2e tests for multiple kube versions and os descriptors
What does this PR do?
Runs the containers E2E tests for the kind scenario for multiple kubernetes versions and multiple OS descriptors.
Motivation
Run the E2E tests on multiple environments (i.e. multiple versions of k8s and os descriptors)
Additional Notes
Possible Drawbacks / Trade-offs
- Increases cost of running e2e, because we are spawning one gitlab runner per version / os descriptor. However, doing all the tests for all versions in one gitlab runner is challenging and not straightforward. The challenge is in handling parallelism and test log management. If we run all versions in one gitlab runner only sequentially, it will take a very long time to finish the tests. If we run them in parallel within the same gitlab runner, the logs would not be comprehensible.
Describe how to test/QA your changes
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 0803d2eb-04a4-4b20-a0a0-283521d98168 Baseline: b4f0a172d309dc5b7689bc9674e0487e4fd0cf1b Comparison: b71db97b6581e79cb8b80ee1006a84e8618ce050
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.
Experiments ignored for regressions
Regressions in experiments with settings containing erratic: true
are ignored.
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | file_to_blackhole | % cpu utilization | +0.41 | [-5.93, +6.75] |
Fine details of change detection per experiment
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.91 | [-1.95, +3.77] |
➖ | process_agent_standard_check_with_stats | memory utilization | +0.59 | [+0.56, +0.62] |
➖ | process_agent_standard_check | memory utilization | +0.59 | [+0.55, +0.62] |
➖ | file_to_blackhole | % cpu utilization | +0.41 | [-5.93, +6.75] |
➖ | process_agent_real_time_mode | memory utilization | +0.38 | [+0.34, +0.41] |
➖ | file_tree | memory utilization | +0.36 | [+0.27, +0.45] |
➖ | idle | memory utilization | +0.33 | [+0.30, +0.37] |
➖ | tcp_syslog_to_blackhole | ingress throughput | +0.06 | [-0.02, +0.13] |
➖ | trace_agent_json | ingress throughput | +0.02 | [-0.00, +0.04] |
➖ | trace_agent_msgpack | ingress throughput | -0.00 | [-0.00, +0.00] |
➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.06, +0.06] |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.02 | [-0.08, +0.03] |
➖ | otel_to_otel_logs | ingress throughput | -0.35 | [-1.01, +0.30] |
➖ | basic_py_check | % cpu utilization | -2.27 | [-4.75, +0.21] |
➖ | pycheck_1000_100byte_tags | % cpu utilization | -2.52 | [-7.41, +2.38] |
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=35558454 --os-family=ubuntu
Regression Detector
Regression Detector Results
Run ID: 93ff5b4f-642f-41ae-87dc-c3e86e028e97 Baseline: e49ead2a99df046f8b13a42beeb05afd0f1633dc Comparison: ae6640448fc8d92186885d358f9764a590b73233
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 |
---|---|---|---|---|
➖ | pycheck_1000_100byte_tags | % cpu utilization | +3.43 | [-1.46, +8.32] |
➖ | file_tree | memory utilization | +2.01 | [+1.91, +2.12] |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.35 | [-2.58, +3.29] |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.02 | [-0.03, +0.07] |
➖ | idle | memory utilization | +0.01 | [-0.03, +0.05] |
➖ | trace_agent_msgpack | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | trace_agent_json | ingress throughput | -0.00 | [-0.01, +0.01] |
➖ | otel_to_otel_logs | ingress throughput | -0.02 | [-0.41, +0.37] |
➖ | uds_dogstatsd_to_api | ingress throughput | -0.03 | [-0.23, +0.18] |
➖ | basic_py_check | % cpu utilization | -0.91 | [-3.86, +2.03] |
➖ | tcp_syslog_to_blackhole | ingress throughput | -3.02 | [-23.29, +17.26] |
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".
/merge
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[Fast Unit Tests Report]
On pipeline 35558454 (CI Visibility). The following jobs did not run any unit tests:
Jobs:
- tests_deb-arm64-py3
- tests_deb-x64-py3
- tests_flavor_dogstatsd_deb-x64
- tests_flavor_heroku_deb-x64
- tests_flavor_iot_deb-x64
- tests_rpm-arm64-py3
- tests_rpm-x64-py3
- tests_windows-x64
If you modified Go files and expected unit tests to run in these jobs, please double check the job logs. If you think tests should have been executed reach out to #agent-developer-experience
/merge
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Use /merge -c
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/merge --cancel
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/merge
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