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[ASCII-2568] Remove Meter function from telemetry component #31596
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Go Package Import DifferencesBaseline: 6570b54
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Test changes on VMUse this command from test-infra-definitions to manually test this PR changes on a VM: inv create-vm --pipeline-id=50319791 --os-family=ubuntu Note: This applies to commit 9fe7f12 |
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LGTM !
comp/core/telemetry/go.mod
Outdated
github.com/golang/protobuf v1.5.3 // indirect | ||
github.com/google/go-cmp v0.6.0 // indirect |
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Why is this added ?
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I have no idea to be honest. I just run inv -e tidy
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 6570b54 Optimization Goals: ✅ No significant changes detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
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➖ | pycheck_lots_of_tags | % cpu utilization | +1.55 | [-2.00, +5.11] | 1 | Logs |
➖ | quality_gate_logs | % cpu utilization | +0.75 | [-2.24, +3.74] | 1 | Logs |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.65 | [-0.08, +1.37] | 1 | Logs |
➖ | otel_to_otel_logs | ingress throughput | +0.47 | [-0.16, +1.10] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.14 | [-0.32, +0.61] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.14 | [-0.63, +0.91] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | +0.00 | [-0.68, +0.69] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.11, +0.11] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.08 | [-0.84, +0.68] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | -0.11 | [-0.74, +0.52] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.35 | [-1.13, +0.42] | 1 | Logs |
➖ | file_tree | memory utilization | -0.57 | [-0.72, -0.42] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | -0.64 | [-0.69, -0.60] | 1 | Logs bounds checks dashboard |
➖ | tcp_syslog_to_blackhole | ingress throughput | -1.22 | [-1.28, -1.17] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | -1.59 | [-1.68, -1.50] | 1 | Logs bounds checks dashboard |
➖ | basic_py_check | % cpu utilization | -3.28 | [-7.03, +0.48] | 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_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:
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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_all_features, 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_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
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you might want to check with @gh123man on Monday (if he's available) if there's any issues with reworking the telemetry interface. Like you said, we don't seem to have any internal use for it, and for the most part, if this is compiling and CI is green I think we're good, but worth having that conversation (it's OK to discuss post-merge).
/merge |
Devflow running:
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What does this PR do?
This PR removes the
Meter
function from the telemetry component.Back in 2022 when the RFC for components was created we said that we would use the Otel MeterProvider for instrument internal components. https://github.com/DataDog/architecture/blob/master/rfcs/agent-component-architecture/rfc.md#telemetry
As of today, we haven't found any internal usage.
Removing means we no longer add import many
go.opentelemetry.io
libraries into the different Agent binaries.If in the future we find internal usage, we can add it 😄
Motivation
removed unused function and libraries from the codebase.
Describe how to test/QA your changes
Possible Drawbacks / Trade-offs
Additional Notes