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[OTEL-2099] Add obfuscator option to OTel Stats Utils #32750
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[OTEL-2099] Add obfuscator option to OTel Stats Utils #32750
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: ab830a6 Optimization Goals: ✅ No significant changes detected
|
perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | quality_gate_logs | % cpu utilization | +3.90 | [+0.60, +7.20] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | +0.40 | [+0.31, +0.49] | 1 | Logs bounds checks dashboard |
➖ | quality_gate_idle | memory utilization | +0.27 | [+0.24, +0.31] | 1 | Logs bounds checks dashboard |
➖ | file_tree | memory utilization | +0.23 | [+0.09, +0.36] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.21 | [-0.58, +0.99] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | +0.05 | [-0.82, +0.92] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.04 | [-0.42, +0.51] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | +0.01 | [-0.63, +0.66] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.01 | [-0.01, +0.02] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.12, +0.12] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | -0.00 | [-0.75, +0.75] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | -0.02 | [-0.65, +0.62] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.05 | [-0.87, +0.77] | 1 | Logs |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.19 | [-0.86, +0.49] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | -0.21 | [-0.99, +0.58] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.23 | [-0.30, -0.17] | 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 | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | memory_usage | 10/10 | bounds checks dashboard |
✅ | 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_idle, bounds check memory_usage: 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_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
Test changes on VMUse this command from test-infra-definitions to manually test this PR changes on a VM: inv aws.create-vm --pipeline-id=52460469 --os-family=ubuntu Note: This applies to commit d2c3cc7 |
Uncompressed package size comparisonComparison with ancestor Diff per package
Decision❌ Failed |
oconf := tcfg.Obfuscation.Export(tcfg) | ||
oconf.Statsd = metricsClient | ||
var obfuscator *obfuscate.Obfuscator | ||
if enableObfuscation { |
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In this file if you want to test obfuscation, you need to modify getTestTraces to have SQL queries.
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still running into the resource and operation name issues that we are not creating datadog spans in the format that pkg/obfuscate expects
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Use resource.name
span.type
operation.name
for now. You may want to work with @IbraheemA to include the proper mapping in resource name V2
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testProcessOTLPTraces(t, false) | ||
} | ||
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||
func TestProcessOTLPTraces_WithObfuscation(t *testing.T) { | ||
testProcessOTLPTraces(t, true) | ||
} | ||
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func testProcessOTLPTraces(t *testing.T, enableObfuscation bool) { |
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IMO you don't need all these, and right now there is no real test on obfuscation. Just add more cases to TestProcessOTLPTraces
like
...
{
name: "obfuscate sql",
...
enableObfuscation: true,
},
{
name: "obfuscate redis",
...
enableObfuscation: true,
}
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thanks, will make that change
func BenchmarkOTelContainerTags(b *testing.B) { | ||
benchmarkOTelContainerTags(b, false) | ||
} | ||
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func BenchmarkOTelContainerTags_WithObfuscation(b *testing.B) { | ||
benchmarkOTelContainerTags(b, true) | ||
} | ||
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func benchmarkOTelContainerTags(b *testing.B, enableObfuscation bool) { |
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These tests do not have any sql queries so obfuscation is just no-op. You will want to write a new benchmark on DB spans with sql queries.
func BenchmarkOTelPeerTags(b *testing.B) { | ||
benchmarkOTelPeerTags(b, true) | ||
benchmarkOTelPeerTags(b, true, false) | ||
} | ||
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func BenchmarkOTelPeerTags_WithObfuscation(b *testing.B) { | ||
benchmarkOTelPeerTags(b, true, true) |
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same
…obfuscation connector otel utils
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What does this PR do?
Motivation
https://datadoghq.atlassian.net/browse/OTEL-2099
Describe how you validated your changes
Ran benchmark tests and added comparison tests for "with obfuscation", results here (increase overhead by only about 2%): https://docs.google.com/spreadsheets/d/1ywVfwlHLeghxhfnDwGaXuGmYNs7CaLiuBa2I9vNjA30
Otherwise, existing tests.
Possible Drawbacks / Trade-offs
I'm not entirely sold on having obfuscate functions in
pkg/trace/transform
, but I couldn't importpkg/trace/agent
inpkg/trace/transform
orpkg/trace/stats
without causing a circular dependency.Additional Notes