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[NDMII-3459] Add VPN tunnels metadata collection for SNMP #37339

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@Pierre-L42 Pierre-L42 commented May 23, 2025

What does this PR do?

This PR adds VPN tunnels and route table metadata collection to SNMP. It adds a new VPNTunnelsMetadata to NetworkDevicesMetadata sent to the back-end.

Motivation

https://datadoghq.atlassian.net/wiki/spaces/II/pages/5095162627/On-Prem+VPN+Data+Collection+for+Site-to-Site+VPN+Resolution

Describe how you validated your changes

  • Unit tests
  • Installed the Agent on this instance on AWS "Datadog Sandbox" which sets up a site-to-site VPN tunnel, and verified that vpn_tunnels is displayed in the datadog-agent check snmp command:
image

Possible Drawbacks / Trade-offs

Additional Notes

@github-actions github-actions bot added team/ndm-core medium review PR review might take time labels May 23, 2025
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agent-platform-auto-pr bot commented May 23, 2025

Uncompressed package size comparison

Comparison with ancestor ef24500285bcdf4fe2ba51516b1ed68353372306

Diff per package
package diff status size ancestor threshold
datadog-agent-x86_64-rpm 0.03MB ⚠️ 783.25MB 783.22MB 0.50MB
datadog-agent-x86_64-suse 0.03MB ⚠️ 783.25MB 783.22MB 0.50MB
datadog-agent-amd64-deb 0.03MB ⚠️ 774.30MB 774.27MB 0.50MB
datadog-heroku-agent-amd64-deb 0.03MB ⚠️ 380.68MB 380.65MB 0.50MB
datadog-iot-agent-amd64-deb 0.03MB ⚠️ 62.83MB 62.80MB 0.50MB
datadog-iot-agent-x86_64-rpm 0.03MB ⚠️ 62.91MB 62.88MB 0.50MB
datadog-iot-agent-x86_64-suse 0.03MB ⚠️ 62.91MB 62.88MB 0.50MB
datadog-agent-aarch64-rpm 0.03MB ⚠️ 769.33MB 769.30MB 0.50MB
datadog-agent-arm64-deb 0.03MB ⚠️ 760.40MB 760.37MB 0.50MB
datadog-iot-agent-arm64-deb 0.02MB ⚠️ 59.39MB 59.37MB 0.50MB
datadog-iot-agent-aarch64-rpm 0.02MB ⚠️ 59.48MB 59.45MB 0.50MB
datadog-dogstatsd-amd64-deb 0.00MB 31.99MB 31.99MB 0.50MB
datadog-dogstatsd-x86_64-rpm 0.00MB 32.07MB 32.07MB 0.50MB
datadog-dogstatsd-x86_64-suse 0.00MB 32.07MB 32.07MB 0.50MB
datadog-dogstatsd-arm64-deb 0.00MB 30.47MB 30.47MB 0.50MB

Decision

⚠️ Warning

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cit-pr-commenter bot commented May 23, 2025

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 455b7ca7-6910-426c-8204-11b7df9a0e1c

Baseline: a95af0e
Comparison: 14b117d
Diff

Optimization Goals: ✅ Improvement(s) detected

perf experiment goal Δ mean % Δ mean % CI trials links
file_tree memory utilization -6.62 [-6.81, -6.44] 1 Logs
docker_containers_cpu % cpu utilization -7.12 [-10.08, -4.16] 1 Logs

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
ddot_logs memory utilization +0.64 [+0.52, +0.76] 1 Logs
ddot_metrics memory utilization +0.47 [+0.35, +0.59] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization +0.40 [-0.45, +1.24] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.40 [+0.34, +0.45] 1 Logs
quality_gate_idle_all_features memory utilization +0.36 [+0.28, +0.44] 1 Logs bounds checks dashboard
quality_gate_logs % cpu utilization +0.26 [-2.47, +2.98] 1 Logs bounds checks dashboard
otlp_ingest_metrics memory utilization +0.20 [+0.03, +0.36] 1 Logs
otlp_ingest_logs memory utilization +0.09 [-0.04, +0.22] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.01 [-0.02, +0.03] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.00 [-0.61, +0.61] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.01 [-0.27, +0.25] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.02 [-0.63, +0.59] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.02 [-0.61, +0.57] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.03 [-0.58, +0.53] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.04 [-0.60, +0.53] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.04 [-0.58, +0.49] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.05 [-0.27, +0.18] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput -0.06 [-0.66, +0.54] 1 Logs
quality_gate_idle memory utilization -0.08 [-0.14, -0.01] 1 Logs bounds checks dashboard
uds_dogstatsd_20mb_12k_contexts_20_senders memory utilization -0.29 [-0.35, -0.23] 1 Logs
docker_containers_memory memory utilization -2.11 [-2.17, -2.05] 1 Logs
file_tree memory utilization -6.62 [-6.81, -6.44] 1 Logs
docker_containers_cpu % cpu utilization -7.12 [-10.08, -4.16] 1 Logs

Bounds Checks: ✅ Passed

perf experiment bounds_check_name replicates_passed links
docker_containers_cpu simple_check_run 10/10
docker_containers_memory memory_usage 10/10
docker_containers_memory simple_check_run 10/10
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 intake_connections 10/10 bounds checks dashboard
quality_gate_idle memory_usage 10/10 bounds checks dashboard
quality_gate_idle_all_features intake_connections 10/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 bounds checks dashboard
quality_gate_logs intake_connections 10/10 bounds checks dashboard
quality_gate_logs lost_bytes 10/10 bounds checks dashboard
quality_gate_logs memory_usage 10/10 bounds checks dashboard

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, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.

@github-actions github-actions bot added long review PR is complex, plan time to review it and removed medium review PR review might take time labels May 26, 2025
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agent-platform-auto-pr bot commented May 26, 2025

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor a95af0e

Successful checks

Info

Quality gate Delta On disk size (MiB) Delta On wire size (MiB)
agent_deb_amd64 $${+0.03}$$ $${697.05}$$ < $${697.37}$$ $${+0.01}$$ $${176.11}$$ < $${177.03}$$
agent_deb_amd64_fips $${+0.03}$$ $${695.33}$$ < $${695.59}$$ $${+0.06}$$ $${175.57}$$ < $${176.51}$$
agent_heroku_amd64 $${+0.03}$$ $${358.7}$$ < $${359.67}$$ $${+0.01}$$ $${96.52}$$ < $${97.47}$$
agent_msi $${+0.11}$$ $${958.99}$$ < $${959.86}$$ $${+0.04}$$ $${146.32}$$ < $${147.27}$$
agent_rpm_amd64 $${+0.03}$$ $${697.04}$$ < $${697.36}$$ $${+0.02}$$ $${177.71}$$ < $${178.56}$$
agent_rpm_amd64_fips $${+0.03}$$ $${695.32}$$ < $${695.58}$$ $${-0.03}$$ $${177.54}$$ < $${178.43}$$
agent_rpm_arm64 $${+0.03}$$ $${687.06}$$ < $${687.37}$$ $${-0.01}$$ $${161.1}$$ < $${161.99}$$
agent_rpm_arm64_fips $${+0.03}$$ $${685.46}$$ < $${685.72}$$ $${-0.03}$$ $${160.22}$$ < $${161.11}$$
agent_suse_amd64 $${+0.03}$$ $${697.04}$$ < $${697.36}$$ $${+0.02}$$ $${177.71}$$ < $${178.56}$$
agent_suse_amd64_fips $${+0.03}$$ $${695.32}$$ < $${695.58}$$ $${-0.03}$$ $${177.54}$$ < $${178.43}$$
agent_suse_arm64 $${+0.03}$$ $${687.06}$$ < $${687.37}$$ $${-0.01}$$ $${161.1}$$ < $${161.99}$$
agent_suse_arm64_fips $${+0.03}$$ $${685.46}$$ < $${685.72}$$ $${-0.03}$$ $${160.22}$$ < $${161.11}$$
docker_agent_amd64 $${+0.03}$$ $${780.84}$$ < $${781.16}$$ $${+0.01}$$ $${268.8}$$ < $${269.63}$$
docker_agent_arm64 $${+0.03}$$ $${794.31}$$ < $${794.62}$$ $${+0.01}$$ $${256.15}$$ < $${257.0}$$
docker_agent_jmx_amd64 $${+0.03}$$ $${972.03}$$ < $${972.35}$$ $${-0}$$ $${337.77}$$ < $${338.6}$$
docker_agent_jmx_arm64 $${+0.03}$$ $${974.1}$$ < $${974.41}$$ $${+0.02}$$ $${321.1}$$ < $${321.97}$$
docker_agent_windows1809 $${+0.22}$$ $${1487.13}$$ < $${1488.0}$$ $${+0.34}$$ $${488.03}$$ < $${488.95}$$
docker_agent_windows1809_core $${+0.11}$$ $${6217.09}$$ < $${6218.0}$$ $${0}$$ $${2048.0}$$ < $${2049.0}$$
docker_agent_windows1809_core_jmx $${+0.31}$$ $${6338.86}$$ < $${6361.0}$$ $${0}$$ $${2048.0}$$ < $${2049.0}$$
docker_agent_windows1809_jmx $${+0.11}$$ $${1608.76}$$ < $${1609.5}$$ $${+0.02}$$ $${530.33}$$ < $${531.32}$$
docker_agent_windows2022 $${-0.19}$$ $${1506.26}$$ < $${1507.0}$$ $${-0.04}$$ $${500.76}$$ < $${501.7}$$
docker_agent_windows2022_core $${+0.21}$$ $${6190.31}$$ < $${6311.0}$$ $${0}$$ $${2048.0}$$ < $${2049.0}$$
docker_agent_windows2022_core_jmx $${+0.09}$$ $${6311.83}$$ < $${6313.0}$$ $${0}$$ $${2048.0}$$ < $${2049.0}$$
docker_agent_windows2022_jmx $${-0.35}$$ $${1627.88}$$ < $${1628.16}$$ $${-0.02}$$ $${543.05}$$ < $${543.98}$$
docker_cluster_agent_amd64 $${+0.03}$$ $${212.87}$$ < $${213.79}$$ $${-0}$$ $${72.38}$$ < $${73.33}$$
docker_cluster_agent_arm64 $${+0.06}$$ $${228.75}$$ < $${229.64}$$ $${-0.01}$$ $${68.65}$$ < $${69.6}$$
docker_cws_instrumentation_amd64 $${0}$$ $${7.08}$$ < $${7.12}$$ $${-0}$$ $${2.95}$$ < $${3.29}$$
docker_cws_instrumentation_arm64 $${0}$$ $${6.69}$$ < $${6.92}$$ $${+0}$$ $${2.7}$$ < $${3.07}$$
docker_dogstatsd_amd64 $${-0}$$ $${39.22}$$ < $${39.57}$$ $${-0}$$ $${15.12}$$ < $${15.76}$$
docker_dogstatsd_arm64 $${0}$$ $${37.88}$$ < $${38.2}$$ $${+0}$$ $${14.53}$$ < $${14.83}$$
dogstatsd_deb_amd64 $${0}$$ $${30.45}$$ < $${31.4}$$ $${-0}$$ $${8.0}$$ < $${8.95}$$
dogstatsd_deb_arm64 $${0}$$ $${29.02}$$ < $${29.97}$$ $${-0}$$ $${6.94}$$ < $${7.89}$$
dogstatsd_rpm_amd64 $${0}$$ $${30.45}$$ < $${31.4}$$ $${-0}$$ $${8.01}$$ < $${8.96}$$
dogstatsd_suse_amd64 $${0}$$ $${30.45}$$ < $${31.4}$$ $${-0}$$ $${8.01}$$ < $${8.96}$$
iot_agent_deb_amd64 $${+0.03}$$ $${50.46}$$ < $${51.38}$$ $${+0.01}$$ $${12.85}$$ < $${13.79}$$
iot_agent_deb_arm64 $${+0.03}$$ $${47.92}$$ < $${48.85}$$ $${+0}$$ $${11.14}$$ < $${12.09}$$
iot_agent_deb_armhf $${+0.03}$$ $${47.5}$$ < $${48.42}$$ $${+0.01}$$ $${11.21}$$ < $${12.16}$$
iot_agent_rpm_amd64 $${+0.03}$$ $${50.46}$$ < $${51.38}$$ $${+0.01}$$ $${12.87}$$ < $${13.81}$$
iot_agent_rpm_arm64 $${+0.03}$$ $${47.93}$$ < $${48.85}$$ $${+0.01}$$ $${11.16}$$ < $${12.11}$$
iot_agent_suse_amd64 $${+0.03}$$ $${50.46}$$ < $${51.38}$$ $${+0.01}$$ $${12.87}$$ < $${13.81}$$

@Pierre-L42 Pierre-L42 added the qa/done QA done before merge and regressions are covered by tests label May 28, 2025
routePrefixLen := netmaskToPrefixlen(strings.Join(indexElems[4:8], "."))
nextHopIP := strings.Join(indexElems[9:13], ".")

ifIndex := store.GetColumnAsString("ipforward_deprecated.if_index", strIndex)
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Is ifIndex always non-empty?

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It is non-empty, but if a route doesn't have an interface, then the value will be 0

nextHopIP = strings.Join(indexElems[currMaxIndex-nextHopLength:currMaxIndex], ".")
}

ifIndex := store.GetColumnAsString("ipforward.if_index", strIndex)
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Again: is ifIndex always non-empty?

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Same as above

@Pierre-L42 Pierre-L42 marked this pull request as ready for review June 10, 2025 10:16
@Pierre-L42 Pierre-L42 requested review from a team as code owners June 10, 2025 10:16
@Pierre-L42 Pierre-L42 requested review from TCheruy and dustmop June 10, 2025 10:16
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LGTM for agent-configuration owned files

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Code is very clean! 👏 left a few questions but looks good overall

// 4 ipCidrRouteDest
// 4 ipCidrRouteMask
// 1 ipCidrRouteTos
// 4 ipCidrRouteNextHop
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Let's add a log here

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Done in d9e394b

}

destAddrType := indexElems[currMaxIndex-2]
if destAddrType != inetAddressIPv4 {
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we don't want to support ipv6?

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not for now

NextHopIP: nextHopIP,
IfIndex: ifIndex,
}
routesByIfIndex[ifIndex] = append(routesByIfIndex[ifIndex], route)
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if a device expose its routes through both the deprecated and current OIDs, will we get duplicated entries in the metadata?

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@Pierre-L42 Pierre-L42 Jun 16, 2025

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you are right, added a set for routes to avoid duplicates in 421fb44, same for tunnels.

Also realized when converting the VPN tunnels map values to a slice, the order is not always the same, I modified the ToSlice method to always have the same output

@Pierre-L42 Pierre-L42 added this to the 7.69.0 milestone Jun 16, 2025
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6 participants