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Add ddprofilingextension #33156
Add ddprofilingextension #33156
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Go Package Import DifferencesBaseline: d6ef294
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: d6ef294 Optimization Goals: ✅ No significant changes detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
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➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.58 | [-0.29, +1.46] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | +0.55 | [+0.51, +0.60] | 1 | Logs bounds checks dashboard |
➖ | tcp_syslog_to_blackhole | ingress throughput | +0.14 | [+0.07, +0.22] | 1 | Logs |
➖ | file_tree | memory utilization | +0.07 | [+0.00, +0.13] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.06 | [-0.72, +0.84] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.02 | [-0.61, +0.66] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.02 | [-0.26, +0.29] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | +0.01 | [-0.84, +0.87] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.00 | [-0.79, +0.80] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | +0.00 | [-0.86, +0.87] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | -0.01 | [-0.90, +0.88] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | -0.01 | [-0.76, +0.74] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.38 | [-0.84, +0.08] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | -0.59 | [-0.67, -0.51] | 1 | Logs bounds checks dashboard |
➖ | quality_gate_logs | % cpu utilization | -1.67 | [-4.69, +1.35] | 1 | Logs |
Bounds Checks: ✅ Passed
perf | experiment | bounds_check_name | replicates_passed | links |
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✅ | 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:
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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_logs, 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 intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, 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, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
Package import difference is explained by this change |
Co-authored-by: Célian Raimbault <[email protected]>
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// profiler.BlockProfile, | ||
// profiler.MutexProfile, | ||
// profiler.GoroutineProfile, |
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To remove?
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Added config option to set these.
if v, ok := c.Agent.Receiver.Handlers[endpoint]; ok { | ||
return v | ||
} | ||
return nil |
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Does the caller is supposed to handle nil
?
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Yes, the caller handles the nil
@@ -15,6 +15,9 @@ exporters: | |||
extensions: | |||
ddflare: | |||
include_metadata: true # Set to true for testing; adjust for production. | |||
# ddprofiling: |
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Is there a reason to have this code commented?
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This will break OCB until: open-telemetry/opentelemetry-collector#12162 is fixed. The PR is up, but not merged yet.
// low, but can be enabled as needed. | ||
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// profiler.BlockProfile, | ||
// profiler.MutexProfile, | ||
// profiler.GoroutineProfile, |
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can we add these as config options ? We should be able to enable them on demand, with default off
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added: e1b4473 👍
Uncompressed package size comparisonComparison with ancestor Diff per package
Decision |
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=54813371 --os-family=ubuntu Note: This applies to commit d540f3e |
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LGTM for Agent Runtime owned files 👍
Static quality checks ✅Please find below the results from static quality gates Info
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/merge |
Devflow running:
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What does this PR do?
This PR adds a ddprofiling extension. This extension starts the DD profiler, and is supported in 2 setups:
What does this PR NOT do?
This PR doesn't:
impl
. Follow up task: https://datadoghq.atlassian.net/browse/OTEL-2388How to run the extension locally (OTel Agent)
Step 1: Build And Run the core agent:
Step 2: Build and run the otel agent, with the ddprofiling extension in the collector config.
You can use this config for example:
How to run the extension locally (OSS Collector)
Step 1: Install the OCB Builder: https://opentelemetry.io/docs/collector/custom-collector/.
Step 2: Create the manifest
builder-config.yaml
, which includes the ddprofilingextension. Please note the path and replaces for ddprofilingextension/def, ddprofilingextension/impl and comp/trace/agent/def which you will need to update based on your current directory.Step 3: Generate the code
Run
./ocb --config=./builder-config.yaml
. This will generate the code necessary to run the collector in folder otelcol-dev3 (specified in dist in step above).Step 4: Run the code
cd otelcol-dev3
Create collector config with ddprofiling extension:
Run with:
go run main.go components.go main_others.go --config collector.yaml
Motivation
OTEL-2310
Describe how you validated your changes
Possible Drawbacks / Trade-offs
Additional Notes