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docs(external docs): add comment to the configuration because it conflicts with what is mentioned in the helm deployment docs
Regression Detector Results
Run ID: 1a086d87-d2d7-4bfb-9d7d-6a42226f71f0 Metrics dashboard
Baseline: 62882cb959983b7246d274a8d1cab6002c718945 Comparison: b1bafa1df6ac68e07589a49251a9016bc3b2859b
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 | links |
|---|---|---|---|---|---|
| ✅ | file_to_blackhole | egress throughput | +40.35 | [+32.61, +48.10] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI | links |
|---|---|---|---|---|---|
| ✅ | file_to_blackhole | egress throughput | +40.35 | [+32.61, +48.10] | |
| ➖ | http_elasticsearch | ingress throughput | +2.27 | [+2.10, +2.43] | |
| ➖ | datadog_agent_remap_datadog_logs | ingress throughput | +2.00 | [+1.77, +2.24] | |
| ➖ | syslog_humio_logs | ingress throughput | +1.90 | [+1.77, +2.03] | |
| ➖ | syslog_splunk_hec_logs | ingress throughput | +1.13 | [+1.02, +1.24] | |
| ➖ | http_to_http_acks | ingress throughput | +1.05 | [-0.28, +2.38] | |
| ➖ | datadog_agent_remap_datadog_logs_acks | ingress throughput | +1.01 | [+0.80, +1.22] | |
| ➖ | syslog_log2metric_splunk_hec_metrics | ingress throughput | +0.73 | [+0.62, +0.84] | |
| ➖ | otlp_http_to_blackhole | ingress throughput | +0.58 | [+0.42, +0.74] | |
| ➖ | syslog_log2metric_humio_metrics | ingress throughput | +0.43 | [+0.32, +0.55] | |
| ➖ | syslog_regex_logs2metric_ddmetrics | ingress throughput | +0.38 | [+0.23, +0.54] | |
| ➖ | fluent_elasticsearch | ingress throughput | +0.32 | [-0.17, +0.82] | |
| ➖ | otlp_grpc_to_blackhole | ingress throughput | +0.03 | [-0.09, +0.15] | |
| ➖ | splunk_hec_to_splunk_hec_logs_acks | ingress throughput | +0.00 | [-0.12, +0.12] | |
| ➖ | splunk_hec_to_splunk_hec_logs_noack | ingress throughput | -0.00 | [-0.10, +0.10] | |
| ➖ | splunk_hec_indexer_ack_blackhole | ingress throughput | -0.01 | [-0.09, +0.07] | |
| ➖ | http_to_s3 | ingress throughput | -0.09 | [-0.35, +0.18] | |
| ➖ | http_to_http_json | ingress throughput | -0.13 | [-0.20, -0.06] | |
| ➖ | http_to_http_noack | ingress throughput | -0.15 | [-0.26, -0.04] | |
| ➖ | syslog_loki | ingress throughput | -0.29 | [-0.37, -0.20] | |
| ➖ | http_text_to_http_json | ingress throughput | -0.71 | [-0.83, -0.58] | |
| ➖ | socket_to_socket_blackhole | ingress throughput | -0.88 | [-0.96, -0.80] | |
| ➖ | syslog_log2metric_tag_cardinality_limit_blackhole | ingress throughput | -0.99 | [-1.10, -0.89] | |
| ➖ | splunk_hec_route_s3 | ingress throughput | -1.64 | [-1.95, -1.33] | |
| ➖ | datadog_agent_remap_blackhole | ingress throughput | -1.67 | [-1.76, -1.58] | |
| ➖ | datadog_agent_remap_blackhole_acks | ingress throughput | -2.49 | [-2.60, -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".