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usm: watcher: Add periodic scan #32400

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What does this PR do?

There are cases where the eBPF shared library watcher can miss hooking shared libraries in running processes. For example:

(1) When a process such as nginx daemonizes itself by forking.
Depending on timing, the parent process may exit before the hooking is
complete leading to the hooking of the library failing, and the child
process will never be noticied by the watcher since it never opens the
shared library (since it's inherited from the parent).

(2) When the path length is longer than what the eBPF program supports.

To ensure that we don't miss these kind of cases, introduce a periodic scan to try to attach to running processes. We maintain a map to ensure that we don't scan processes over and over again to limit CPU usage. We scan every processes twice in order to avoid races with startup where we may scan a process' maps file before it has opened its shared libraries.

Motivation

https://datadoghq.atlassian.net/wiki/spaces/UT/pages/4105764896

Describe how you validated your changes

Automated test added.

Also verified manually that with the fix nginx is monitored if launched like this

$ docker run -v /proc:/proc -it --entrypoint /bin/bash nginx
root@1d70122a9e6c:/# nginx

By checking the debug endpoint sudo curl --unix /opt/datadog-agent/run/sysprobe.sock http://unix/network_tracer/debug/usm/traced_programs | jq | gron

Possible Drawbacks / Trade-offs

Additional Notes

There are cases where the eBPF shared library watcher can miss hooking
shared libraries in running processes.  For example:

 (1) When a process such as nginx daemonizes itself by forking.
 Depending on timing, the parent process may exit before the hooking is
 complete leading to the hooking of the library failing, and the child
 process will never be noticied by the watcher since it never opens the
 shared library (since it's inherited from the parent).

 (2) When the path length is longer than what the eBPF program supports.

To ensure that we don't miss these kind of cases, introduce a periodic
scan to try to attach to running processes.  We maintain a map to ensure
that we don't scan processes over and over again to limit CPU usage.  We
scan every processes twice in order to avoid races with startup where we
may scan a process' maps file before it has opened its shared libraries.
@github-actions github-actions bot added component/system-probe medium review PR review might take time labels Dec 19, 2024
@vitkyrka vitkyrka added changelog/no-changelog team/usm The USM team qa/done QA done before merge and regressions are covered by tests labels Dec 19, 2024
@vitkyrka vitkyrka marked this pull request as ready for review December 19, 2024 14:28
@vitkyrka vitkyrka requested a review from a team as a code owner December 19, 2024 14:28
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[Fast Unit Tests Report]

On pipeline 51562183 (CI Visibility). The following jobs did not run any unit tests:

Jobs:
  • tests_deb-arm64-py3
  • tests_deb-x64-py3
  • tests_flavor_dogstatsd_deb-x64
  • tests_flavor_heroku_deb-x64
  • tests_flavor_iot_deb-x64
  • tests_rpm-arm64-py3
  • tests_rpm-x64-py3
  • tests_windows-x64

If you modified Go files and expected unit tests to run in these jobs, please double check the job logs. If you think tests should have been executed reach out to #agent-devx-help

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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=51562183 --os-family=ubuntu

Note: This applies to commit db4451f

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Uncompressed package size comparison

Comparison with ancestor b5ed4717a48a40417b270bd7db5c8a061d3b5cc7

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 1187.70MB 1187.70MB 140.00MB
datadog-agent-x86_64-rpm 0.00MB 1196.96MB 1196.96MB 140.00MB
datadog-agent-x86_64-suse 0.00MB 1196.96MB 1196.96MB 140.00MB
datadog-agent-arm64-deb 0.00MB 933.68MB 933.68MB 140.00MB
datadog-agent-aarch64-rpm 0.00MB 942.92MB 942.92MB 140.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.57MB 78.57MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.64MB 78.64MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.64MB 78.64MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.77MB 55.77MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 504.86MB 504.86MB 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

Decision

✅ Passed

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 7ee603f1-eb84-484c-8063-baf58a5748b1

Baseline: b5ed471
Comparison: db4451f
Diff

❌ Experiments with missing or malformed data

This is a critical error. No usable optimization goal data was produced by the listed experiments. This may be a result of misconfiguration. Ping #single-machine-performance and we can help out.

  • uds_dogstatsd_to_api (Logs)

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
otel_to_otel_logs ingress throughput +0.09 [-0.55, +0.73] 1 Logs
quality_gate_idle memory utilization +0.04 [+0.00, +0.08] 1 Logs bounds checks dashboard
file_to_blackhole_300ms_latency egress throughput +0.02 [-0.63, +0.67] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.01 [-0.87, +0.89] 1 Logs
file_to_blackhole_0ms_latency egress throughput +0.01 [-0.87, +0.89] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.01, +0.01] 1 Logs
file_tree memory utilization -0.01 [-0.14, +0.12] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.01 [-0.69, +0.67] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.05 [-0.84, +0.75] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.06 [-0.84, +0.72] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.07 [-0.98, +0.84] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.10 [-0.56, +0.37] 1 Logs
quality_gate_idle_all_features memory utilization -0.10 [-0.18, -0.02] 1 Logs bounds checks dashboard
uds_dogstatsd_to_api_cpu % cpu utilization -0.24 [-0.93, +0.45] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.28 [-0.37, -0.18] 1 Logs
quality_gate_logs % cpu utilization -0.50 [-3.73, +2.73] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
quality_gate_idle memory_usage 9/10 bounds checks dashboard
quality_gate_logs memory_usage 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 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_all_features memory_usage 10/10 bounds checks dashboard
quality_gate_logs lost_bytes 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

Failed. Some Quality Gates were violated.

  • quality_gate_idle_all_features, 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: 9/10 replicas passed. Failed 1 which is > 0. Gate FAILED.
  • quality_gate_idle, bounds check memory_usage: 9/10 replicas passed. Failed 1 which is > 0. Gate FAILED.

@@ -26,7 +26,7 @@ import (
"github.com/DataDog/datadog-agent/pkg/util/log"
)

const (
var (
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why did you change it?

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The test changes this to a much smaller value in order to avoid waiting for a long time.

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Can you leave a comment in the code then?

// findDeletedProcesses returns the terminated PIDs from the given map.
func findDeletedProcesses[V any](pids map[uint32]V) map[uint32]struct{} {
existingPids := make(map[uint32]struct{}, len(pids))
func (w *Watcher) sync() {
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Can you add a documentation for this function?

// libraries. Scanning twice with the sync interval reduce this risk of
// missing shared libraries due to this.
if scanned == 0 || scanned == 1 {
w.scannedPIDs[pid] = scanned + 1
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Suggested change
w.scannedPIDs[pid] = scanned + 1
w.scannedPIDs[pid]++

// just after it has been exec'd and before it has opened its shared
// libraries. Scanning twice with the sync interval reduce this risk of
// missing shared libraries due to this.
if scanned == 0 || scanned == 1 {
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Suggested change
if scanned == 0 || scanned == 1 {
if scanned < 2 {

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LGTM, the only comments I "insist" about are the documentation, the rest are just suggestions

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