datadog-agent
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[trace-agent] CLI support added for unofficially supported deprecated flags/switches
What does this PR do?
In PR https://github.com/DataDog/datadog-agent/pull/18492 we added backward-compatibility support for official flags that were now deprecated. Unfortunately, the unofficially supported --pid (single hyphen were the documented switches -pid) was left out. This PR adds support for it once again.
We also take the opportunity to fix a couple other flags so they remain backward-compatible even if only unofficially supported previously.
Motivation
Customer was impacted by using the unofficial --pid flag instead of -pid (both now deprecated).
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Manually launch the trace-agent and make sure the old flags are still well supported:
-pid <file>--pid <file>-cpuprofile <file>--cpuprofile <file>-memprofile <file>--memprofile <file>
As well as the newer ones:
--pidfile <file>--cpu-profile <file>--mem-profile <file>
Reviewer's Checklist
- [x] If known, an appropriate milestone has been selected; otherwise the
Triagemilestone is set. - [ ] Use the
major_changelabel if your change either has a major impact on the code base, is impacting multiple teams or is changing important well-established internals of the Agent. This label will be use during QA to make sure each team pay extra attention to the changed behavior. For any customer facing change use a releasenote. - [x] A release note has been added or the
changelog/no-changeloglabel has been applied. - [x] Changed code has automated tests for its functionality.
- [x] Adequate QA/testing plan information is provided. Except if the
qa/skip-qalabel, with required eitherqa/doneorqa/no-code-changelabels, are applied. - [x] At least one
team/..label has been applied, indicating the team(s) that should QA this change. - [ ] If applicable, docs team has been notified or an issue has been opened on the documentation repo.
- [ ] If applicable, the
need-change/operatorandneed-change/helmlabels have been applied. - [ ] If applicable, the
k8s/<min-version>label, indicating the lowest Kubernetes version compatible with this feature. - [ ] If applicable, the config template has been updated.
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 3d443c35-dbbf-4925-829b-13417e64397f Baseline: f608b4cccd5730c5cfa225dcf8763cf8a7aff1a7 Comparison: f7f563636af3dab5b3f3efffea1cb4c222e1acb2 Total CPUs: 7
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 |
|---|---|---|---|---|
| ➖ | idle | memory utilization | +0.06 | [+0.03, +0.10] |
| ➖ | file_to_blackhole | % cpu utilization | -0.24 | [-6.77, +6.30] |
| ➖ | file_tree | memory utilization | -1.71 | [-1.84, -1.58] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | otel_to_otel_logs | ingress throughput | +0.93 | [+0.20, +1.66] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.48 | [+0.41, +0.55] |
| ➖ | process_agent_standard_check | memory utilization | +0.36 | [+0.28, +0.44] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | +0.27 | [+0.20, +0.34] |
| ➖ | process_agent_real_time_mode | memory utilization | +0.09 | [+0.03, +0.14] |
| ➖ | idle | memory utilization | +0.06 | [+0.03, +0.10] |
| ➖ | trace_agent_json | ingress throughput | +0.01 | [-0.02, +0.03] |
| ➖ | trace_agent_msgpack | ingress throughput | +0.00 | [-0.02, +0.03] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.04, +0.04] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.06, +0.06] |
| ➖ | file_to_blackhole | % cpu utilization | -0.24 | [-6.77, +6.30] |
| ➖ | file_tree | memory utilization | -1.71 | [-1.84, -1.58] |
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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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=30215707 --os-family=ubuntu
Regression Detector
Regression Detector Results
Run ID: a3e81113-2c9e-485a-8aea-5f918ad56f3b Baseline: 1941f35b9b4c146b13cdf7422e9ad157f0fa7b31 Comparison: 9620d325ba0b66d95264ed5c9fec0a5aa02ddb6c
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 | -0.93 | [-7.25, +5.38] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +1.77 | [-0.94, +4.48] |
| ➖ | basic_py_check | % cpu utilization | +1.26 | [-1.26, +3.77] |
| ➖ | file_tree | memory utilization | +0.48 | [+0.38, +0.58] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | +0.15 | [+0.11, +0.18] |
| ➖ | otel_to_otel_logs | ingress throughput | +0.11 | [-0.30, +0.51] |
| ➖ | process_agent_standard_check | memory utilization | +0.07 | [+0.04, +0.10] |
| ➖ | trace_agent_json | ingress throughput | +0.00 | [-0.03, +0.04] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.20, +0.20] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | -0.02 | [-0.11, +0.07] |
| ➖ | idle | memory utilization | -0.02 | [-0.06, +0.01] |
| ➖ | trace_agent_msgpack | ingress throughput | -0.03 | [-0.04, -0.02] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.06 | [-0.09, -0.03] |
| ➖ | process_agent_real_time_mode | memory utilization | -0.54 | [-0.57, -0.51] |
| ➖ | file_to_blackhole | % cpu utilization | -0.93 | [-7.25, +5.38] |
| ➖ | pycheck_1000_100byte_tags | % cpu utilization | -2.48 | [-7.28, +2.32] |
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".