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Implement caching for GenerateContainerIDFromOriginInfo #32351
Implement caching for GenerateContainerIDFromOriginInfo #32351
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Go Package Import DifferencesBaseline: 1aa7a6f
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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=51723967 --os-family=ubuntu Note: This applies to commit 8c21d2c |
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👍
Signed-off-by: Wassim DHIF <wassim.dhif@datadoghq.com>
Signed-off-by: Wassim DHIF <wassim.dhif@datadoghq.com>
…Interval Signed-off-by: Wassim DHIF <wassim.dhif@datadoghq.com>
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 1aa7a6f 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 | +1.16 | [+0.48, +1.84] | 1 | Logs |
➖ | file_tree | memory utilization | +0.87 | [+0.74, +1.00] | 1 | Logs |
➖ | quality_gate_logs | % cpu utilization | +0.85 | [-2.41, +4.10] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | +0.25 | [+0.21, +0.29] | 1 | Logs bounds checks dashboard |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.23 | [-0.55, +1.01] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | +0.22 | [+0.14, +0.30] | 1 | Logs bounds checks dashboard |
➖ | tcp_syslog_to_blackhole | ingress throughput | +0.17 | [+0.11, +0.23] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.12 | [-0.77, +1.00] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | +0.10 | [-0.62, +0.81] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.02 | [-0.63, +0.66] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.01 | [-0.11, +0.13] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.01 | [-0.84, +0.81] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.02 | [-0.91, +0.87] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.52 | [-0.98, -0.06] | 1 | Logs |
➖ | otel_to_otel_logs | ingress throughput | -0.65 | [-1.34, +0.03] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.71 | [-1.50, +0.08] | 1 | Logs |
Bounds Checks: ❌ Failed
perf | experiment | bounds_check_name | replicates_passed | links |
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❌ | quality_gate_idle | memory_usage | 8/10 | bounds checks dashboard |
❌ | file_to_blackhole_100ms_latency | lost_bytes | 9/10 | |
❌ | quality_gate_idle_all_features | memory_usage | 9/10 | bounds checks dashboard |
✅ | 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 | 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_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
❌ Failed. Some Quality Gates were violated.
- 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_idle_all_features, bounds check memory_usage: 9/10 replicas passed. Failed 1 which is > 0. Gate FAILED.
- quality_gate_idle, bounds check memory_usage: 8/10 replicas passed. Failed 2 which is > 0. Gate FAILED.
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LGTM. Unfortunate we couldn't extract the callback func out.
/merge |
Devflow running:
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Signed-off-by: Wassim DHIF <wassim.dhif@datadoghq.com>
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/merge |
Devflow running:
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Signed-off-by: Wassim DHIF <wassim.dhif@datadoghq.com>
What does this PR do?
Implement caching for
GenerateContainerIDFromOriginInfo
using thegithub.com/DataDog/datadog-agent/pkg/util/cache
implementation.Motivation
This is needed to fully support
GenerateContainerIDFromOriginInfo
use cases.Describe how you validated your changes
Validated using the following patch:
And with the same QA process as #32295
We can see the logs:
And that we still have the traces correctly tagged:
Possible Drawbacks / Trade-offs
N/A
Additional Notes
N/A