datadog-agent
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add all missing replace statement in `go.mod` related to recent new modules
What does this PR do?
This PR adds all missing replaces related to local path that were missing from recent PRs adding new go modules. It does not add those missing in test/integration/serverless because those are older and not blocking the release process. They can be fixed in a later PR.
Motivation
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 1207f649-009a-43cc-8e34-0e324fa49cdb Baseline: 4bf26c276f788b974939b86c00cda694b907007e Comparison: 2f9ebc67bb131edc32ab5ec0f9dfbdbacc267595 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
Experiments with missing or malformed data
- basic_py_check
Usually, this warning means that there is no usable optimization goal data for that experiment, which could be a result of misconfiguration.
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 | +0.46 | [-6.15, +7.06] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.78 | [+0.72, +0.84] |
| ➖ | file_to_blackhole | % cpu utilization | +0.46 | [-6.15, +7.06] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | +0.41 | [+0.37, +0.45] |
| ➖ | process_agent_standard_check | memory utilization | +0.17 | [+0.13, +0.21] |
| ➖ | trace_agent_msgpack | ingress throughput | +0.01 | [-0.01, +0.02] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.00, +0.00] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] |
| ➖ | trace_agent_json | ingress throughput | -0.01 | [-0.03, +0.00] |
| ➖ | process_agent_real_time_mode | memory utilization | -0.14 | [-0.18, -0.11] |
| ➖ | otel_to_otel_logs | ingress throughput | -0.30 | [-0.90, +0.30] |
| ➖ | idle | memory utilization | -0.42 | [-0.45, -0.39] |
| ➖ | file_tree | memory utilization | -0.48 | [-0.56, -0.40] |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -1.91 | [-3.32, -0.50] |
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".
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