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Auto Multiline V2 - Correctly handle custom samples as JSON from the config or an env var #35101
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Test changes on VMUse this command from test-infra-definitions to manually test this PR changes on a VM: dda inv aws.create-vm --pipeline-id=58877583 --os-family=ubuntu Note: This applies to commit bb144da |
Uncompressed package size comparisonComparison with ancestor Size reduction summary
Diff per package
Decision✅ Passed |
Static quality checks ✅Please find below the results from static quality gates Successful checksInfo
|
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: dd8d433 Optimization Goals: ✅ No significant changes detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +2.11 | [+1.24, +2.98] | 1 | Logs |
➖ | file_tree | memory utilization | +1.38 | [+1.17, +1.60] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | +0.90 | [+0.75, +1.04] | 1 | Logs bounds checks dashboard |
➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.26 | [-0.52, +1.04] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.12 | [-0.34, +0.58] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.10 | [-0.68, +0.88] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | +0.01 | [-0.81, +0.83] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.01 | [-0.78, +0.80] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.30, +0.31] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.02, +0.01] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.00 | [-0.82, +0.81] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | -0.01 | [-0.64, +0.63] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | -0.01 | [-0.73, +0.70] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.04 | [-0.10, +0.01] | 1 | Logs |
➖ | uds_dogstatsd_20mb_12k_contexts_20_senders | memory utilization | -0.36 | [-0.41, -0.31] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | -0.50 | [-0.58, -0.42] | 1 | Logs bounds checks dashboard |
➖ | quality_gate_logs | % cpu utilization | -1.87 | [-4.71, +0.97] | 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 | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_logs | intake_connections | 10/10 | |
✅ | 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.
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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.
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Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_logs, bounds check intake_connections: 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.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
What does this PR do?
It turns out our config parser can't automatically handle JSON strings when unmarshalling, and this needs to be explicitly handled. This PR makes the parsing behavior consistent for
DD_LOGS_CONFIG_AUTO_MULTI_LINE_DETECTION_CUSTOM_SAMPLES
with other complex config keys that support JSON in env vars.Motivation
Describe how you validated your changes
Unit test coverage, Local sanity test.
Possible Drawbacks / Trade-offs
Additional Notes