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[CWS] cut allocation in GetProcContainerContext
#32183
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Uncompressed package size comparisonComparison with ancestor Diff per package
Decision✅ Passed |
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=51483519 --os-family=ubuntu Note: This applies to commit a78bc45 |
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 52f0517 Optimization Goals: ✅ No significant changes detected
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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:
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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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Some nit/ideas comments but LGTM :) thanks
pkg/security/utils/cgroup.go
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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
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/merge |
Devflow running:
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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