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[CWS] cut allocation in GetProcContainerContext #32183

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merged 2 commits into from
Dec 18, 2024

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paulcacheux
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@paulcacheux paulcacheux commented Dec 15, 2024

What does this PR do?

The function GetProcContainerContext is called a lot, and each code results in a read of the proc cgroup file. This PR improves this situation a bit by reading only the last cgroup (which is the one we use for proc context right now), and cuts most of split related allocations.

Example profile showing why it's important

Motivation

Describe how you validated your changes

Possible Drawbacks / Trade-offs

Additional Notes

@github-actions github-actions bot added component/system-probe team/agent-security short review PR is simple enough to be reviewed quickly labels Dec 15, 2024
@paulcacheux paulcacheux force-pushed the paulcacheux/get-first-cgroup branch from 58212f4 to 33a6c46 Compare December 15, 2024 18:18
@paulcacheux paulcacheux added qa/done QA done before merge and regressions are covered by tests changelog/no-changelog labels Dec 15, 2024
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agent-platform-auto-pr bot commented Dec 15, 2024

Uncompressed package size comparison

Comparison with ancestor 52f0517517169d661a94895a296c73b85424c86d

Diff per package
package diff status size ancestor threshold
datadog-dogstatsd-amd64-deb 0.00MB 78.59MB 78.59MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.67MB 78.67MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.67MB 78.67MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.79MB 55.79MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 505.06MB 505.06MB 70.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.31MB 113.31MB 10.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.38MB 113.38MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.38MB 113.38MB 10.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.78MB 108.78MB 10.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.85MB 108.85MB 10.00MB
datadog-agent-x86_64-rpm -0.00MB 1197.00MB 1197.00MB 140.00MB
datadog-agent-x86_64-suse -0.00MB 1197.00MB 1197.00MB 140.00MB
datadog-agent-amd64-deb -0.00MB 1187.76MB 1187.76MB 140.00MB
datadog-agent-aarch64-rpm -0.00MB 942.99MB 943.00MB 140.00MB
datadog-agent-arm64-deb -0.01MB 933.78MB 933.78MB 140.00MB

Decision

✅ Passed

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agent-platform-auto-pr bot commented Dec 15, 2024

Test changes on VM

Use this command from test-infra-definitions to manually test this PR changes on a VM:

inv aws.create-vm --pipeline-id=51483519 --os-family=ubuntu

Note: This applies to commit a78bc45

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cit-pr-commenter bot commented Dec 15, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 86179cfa-6709-4782-b0a5-4b51eadf0d44

Baseline: 52f0517
Comparison: a78bc45
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
file_to_blackhole_1000ms_latency egress throughput +0.18 [-0.60, +0.95] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.08 [-0.69, +0.86] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput +0.08 [-0.39, +0.55] 1 Logs
file_to_blackhole_300ms_latency egress throughput +0.02 [-0.61, +0.65] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.01 [-0.71, +0.73] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.01 [-0.09, +0.11] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.02 [-0.87, +0.83] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput -0.04 [-0.97, +0.89] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.04 [-0.88, +0.80] 1 Logs
quality_gate_logs % cpu utilization -0.08 [-3.04, +2.88] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.35 [-0.41, -0.29] 1 Logs
quality_gate_idle memory utilization -0.70 [-0.75, -0.66] 1 Logs bounds checks dashboard
file_tree memory utilization -0.71 [-0.84, -0.57] 1 Logs
quality_gate_idle_all_features memory utilization -1.00 [-1.13, -0.87] 1 Logs bounds checks dashboard
otel_to_otel_logs ingress throughput -1.63 [-2.33, -0.92] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -1.76 [-2.46, -1.05] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_100ms_latency lost_bytes 9/10
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_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:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. 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.

  3. 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.

@paulcacheux paulcacheux marked this pull request as ready for review December 16, 2024 08:07
@paulcacheux paulcacheux requested a review from a team as a code owner December 16, 2024 08:07
@paulcacheux paulcacheux force-pushed the paulcacheux/get-first-cgroup branch from 33a6c46 to 9bc6714 Compare December 18, 2024 15:32
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Some nit/ideas comments but LGTM :) thanks

if index < 0 {
index = 0
}
firstLine := string(data[index:])
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Should we name this var "lastLine" instead ?

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ah yeah sorry..

@@ -85,15 +123,14 @@ func GetProcContainerID(tgid, pid uint32) (containerutils.ContainerID, error) {
// GetProcContainerContext returns the container ID which the process belongs to along with its manager. Returns "" if the process does not belong
// to a container.
func GetProcContainerContext(tgid, pid uint32) (containerutils.ContainerID, model.CGroupContext, error) {
cgroups, err := GetProcControlGroups(tgid, pid)
if err != nil || len(cgroups) == 0 {
cgroup, err := GetLastProcControlGroups(tgid, pid)
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It's not directly related to your PR, but I wonder if we should add a check and log in case the cgroup.ID != 0. It "should" not happen but .. We never knows! WDYT ?

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definitely, I wan't this PR to be "perf improvement" but no functionality change, but I have another PR coming that parses specifically for the 0:: cgroup

@github-actions github-actions bot added medium review PR review might take time and removed short review PR is simple enough to be reviewed quickly labels Dec 18, 2024
@paulcacheux paulcacheux force-pushed the paulcacheux/get-first-cgroup branch from 6cc3f10 to a78bc45 Compare December 18, 2024 18:20
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/merge

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dd-devflow bot commented Dec 18, 2024

Devflow running: /merge

View all feedbacks in Devflow UI.


2024-12-18 19:10:11 UTC ℹ️ MergeQueue: waiting for PR to be ready

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2024-12-18 19:15:22 UTC ℹ️ MergeQueue: merge request added to the queue

The median merge time in main is 32m.


2024-12-18 19:35:52 UTC ℹ️ MergeQueue: This merge request was merged

@dd-mergequeue dd-mergequeue bot merged commit a2eda15 into main Dec 18, 2024
231 of 233 checks passed
@dd-mergequeue dd-mergequeue bot deleted the paulcacheux/get-first-cgroup branch December 18, 2024 19:35
@github-actions github-actions bot added this to the 7.62.0 milestone Dec 18, 2024
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