datadog-agent
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[NPM-3137] Rollup connection ephemeral ports
What does this PR do?
Implements "rolling up" connections by dropping ephemeral ports. This is done during connection aggregation when reporting connections from the system-probe. More details here.
There is a new config, network_config.enable_connection_rollup
that is set to false
by default.
A version of the LocalResolver has been introduced for local resolution in the system-probe if rollups are enabled. This is essential in order to not loose container resolution during rollups.
The benefits are primarily in the reporting path since we are now reporting fewer connection objects. This PR does not change how we store connections in between connections checks, leaving that for subsequent PRs; this is primarily due to it not being clear if rollups can be done in these code paths without impacting other essentials like local resolution.
Testing with the tcp load test on test clusters: https://datadoghq.atlassian.net/wiki/spaces/NET/pages/3522791502/Connection+Rollups+Performance+Testing#Results
Avg CPU change: -28%
Avg working set change: -26%
Avg payload size change: -98.7% (note: this is very dramatic due to the nature of the test)
Motivation
Use less memory for storing and reporting connections. This PR only has an impact in the reporting path, where the number of connections reported can be dramatically reduced by these rollups.
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Reviewer's Checklist
- [x] If known, an appropriate milestone has been selected; otherwise the
Triage
milestone is set. - [ ] Use the
major_change
label if your change either has a major impact on the code base, is impacting multiple teams or is changing important well-established internals of the Agent. This label will be use during QA to make sure each team pay extra attention to the changed behavior. For any customer facing change use a releasenote. - [x] A release note has been added or the
changelog/no-changelog
label has been applied. - [x] Changed code has automated tests for its functionality.
- [x] Adequate QA/testing plan information is provided if the
qa/skip-qa
label is not applied. - [x] At least one
team/..
label has been applied, indicating the team(s) that should QA this change. - [ ] If applicable, docs team has been notified or an issue has been opened on the documentation repo.
- [x] If applicable, the
need-change/operator
andneed-change/helm
labels have been applied. - [x] If applicable, the
k8s/<min-version>
label, indicating the lowest Kubernetes version compatible with this feature. - [ ] If applicable, the config template has been updated.
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 5a1b78ff-4ec9-47b2-bcb5-54bc35e37307 Baseline: c7b1b2024b8fa779dcb8d21d5d227210a8af95cb Comparison: e9b2797b84bba7daa6986feb7bfb3de618d1bf26
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
Experiments with missing or malformed data
- basic_py_check
Usually, this warning means that there is no usable optimization goal data for that experiment, which could be a result of misconfiguration.
No significant changes in experiment optimization goals
Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%
There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.
Experiments ignored for regressions
Regressions in experiments with settings containing erratic: true
are ignored.
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | file_to_blackhole | % cpu utilization | -0.31 | [-6.86, +6.24] |
Fine details of change detection per experiment
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.93 | [-0.50, +2.36] |
➖ | process_agent_standard_check_with_stats | memory utilization | +0.70 | [+0.67, +0.74] |
➖ | idle | memory utilization | +0.70 | [+0.67, +0.74] |
➖ | process_agent_real_time_mode | memory utilization | +0.44 | [+0.41, +0.48] |
➖ | process_agent_standard_check | memory utilization | +0.17 | [+0.14, +0.21] |
➖ | file_tree | memory utilization | +0.15 | [+0.08, +0.22] |
➖ | trace_agent_json | ingress throughput | +0.03 | [+0.00, +0.07] |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | trace_agent_msgpack | ingress throughput | -0.02 | [-0.03, -0.00] |
➖ | file_to_blackhole | % cpu utilization | -0.31 | [-6.86, +6.24] |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.56 | [-0.61, -0.50] |
➖ | otel_to_otel_logs | ingress throughput | -1.06 | [-1.67, -0.46] |
Explanation
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.
-
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.
-
Its configuration does not mark it "erratic".
Go Package Import Differences
Baseline: b057e0b92a13f07c9bd9d2b9bc930abd68fa66eb Comparison: 170a7402dba9197698ea4e00501892c82900f7d5
binary | os | arch | change |
---|---|---|---|
system-probe | windows | amd64 | +2, -0
+go4.org/intern
+go4.org/unsafe/assume-no-moving-gc
|
how did this end up performing in oddish-c
?
how did this end up performing in
oddish-c
?
@akarpz see https://datadoghq.atlassian.net/wiki/spaces/NET/pages/3522791502/Connection+Rollups+Performance+Testing#oddish-c
Test changes on VM
Use this command from test-infra-definitions to manually test this PR changes on a VM:
inv create-vm --pipeline-id=31182918 --os-family=ubuntu
Regression Detector
Regression Detector Results
Run ID: 9221c406-dea5-4508-9eef-9c4a442e6b30 Baseline: b057e0b92a13f07c9bd9d2b9bc930abd68fa66eb Comparison: 170a7402dba9197698ea4e00501892c82900f7d5
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
No significant changes in experiment optimization goals
Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%
There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.
Experiments ignored for regressions
Regressions in experiments with settings containing erratic: true
are ignored.
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | file_to_blackhole | % cpu utilization | +2.07 | [-4.28, +8.43] |
Fine details of change detection per experiment
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | file_to_blackhole | % cpu utilization | +2.07 | [-4.28, +8.43] |
➖ | pycheck_1000_100byte_tags | % cpu utilization | +1.30 | [-3.61, +6.21] |
➖ | basic_py_check | % cpu utilization | +0.15 | [-2.15, +2.46] |
➖ | idle | memory utilization | +0.08 | [+0.04, +0.12] |
➖ | trace_agent_json | ingress throughput | +0.03 | [+0.00, +0.05] |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.20, +0.20] |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.00 | [-2.90, +2.90] |
➖ | otel_to_otel_logs | ingress throughput | -0.01 | [-0.45, +0.42] |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.01 | [-0.04, +0.02] |
➖ | trace_agent_msgpack | ingress throughput | -0.02 | [-0.02, -0.01] |
➖ | process_agent_standard_check | memory utilization | -0.11 | [-0.17, -0.05] |
➖ | process_agent_standard_check_with_stats | memory utilization | -0.13 | [-0.18, -0.08] |
➖ | process_agent_real_time_mode | memory utilization | -0.16 | [-0.20, -0.12] |
➖ | file_tree | memory utilization | -0.78 | [-0.89, -0.67] |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.92 | [-1.00, -0.83] |
Explanation
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.
-
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.
-
Its configuration does not mark it "erratic".
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