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[netpath] Add option to disable intra-VPC pathtracing #33814
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Static quality checks ✅Please find below the results from static quality gates Successful checksInfo
|
Uncompressed package size comparisonComparison with ancestor Diff per package
Decision |
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=57090142 --os-family=ubuntu Note: This applies to commit 286f4cc |
Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: e1841bc Optimization Goals: ✅ No significant changes detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | quality_gate_logs | % cpu utilization | +2.26 | [-0.65, +5.17] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | +0.02 | [-0.75, +0.79] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.02 | [-0.86, +0.89] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | +0.01 | [-0.29, +0.30] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | +0.01 | [-0.62, +0.64] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | +0.00 | [-0.81, +0.82] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.00 | [-0.63, +0.64] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.01 | [-0.03, +0.01] | 1 | Logs |
➖ | file_to_blackhole_500ms_latency | egress throughput | -0.06 | [-0.85, +0.73] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | -0.15 | [-0.20, -0.09] | 1 | Logs bounds checks dashboard |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.39 | [-1.27, +0.48] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.44 | [-1.21, +0.33] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.48 | [-0.94, -0.02] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | -0.61 | [-0.65, -0.58] | 1 | Logs bounds checks dashboard |
➖ | file_tree | memory utilization | -0.83 | [-0.88, -0.77] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | -1.23 | [-1.29, -1.17] | 1 | Logs |
Bounds Checks: ✅ Passed
perf | experiment | bounds_check_name | replicates_passed | links |
---|---|---|---|---|
✅ | 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 | |
✅ | 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:
-
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_all_features, bounds check intake_connections: 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.
- quality_gate_logs, 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_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
@@ -156,13 +159,54 @@ func makePathtest(conn *model.Connection, dns map[string]*model.DNSEntry) common | |||
} | |||
} | |||
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func (s *npCollectorImpl) shouldScheduleNetworkPathForConn(conn *model.Connection, subnetsToSkip []*net.IPNet) bool { |
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I moved this into npCollectorImpl
in order to get access to statsd telemetry
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Good idea.
return false | ||
} | ||
remoteIP := net.ParseIP(conn.Raddr.Ip) | ||
if remoteIP.IsLoopback() || conn.IntraHost { |
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You could check IntraHost
earlier to avoid the ParseIP
call as it can be expensive.
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Technically unrelated to this PR since Stuart is only moving this function.
But agree with Hasan's suggestion :)
if remoteIP.IsLoopback() || conn.IntraHost { | ||
return false | ||
} | ||
if conn.Family != model.ConnectionFamily_v4 { |
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Same for this, you can check this right at the beginning of the function.
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Looks good from Agent Configuration
return subnet.Contains(remoteIP) | ||
}) | ||
if shouldSkipSubnet { | ||
s.statsdClient.Incr("datadog.network_path.collector.skipped_because_subnet", nil, 1) //nolint:errcheck |
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Can we use a metric like:
s.statsdClient.Incr("datadog.network_path.collector.conns_skipped", []string{"reason:skip_intra_vpc"}, 1) //nolint:errcheck
Then add the same metric to the other cases above:
s.statsdClient.Incr("datadog.network_path.collector.conn_skipped", []string{"reason:skip_ipv6"}, 1)
s.statsdClient.Incr("datadog.network_path.collector.conn_skipped", []string{"reason:skip_loopback"}, 1)
s.statsdClient.Incr("datadog.network_path.collector.conn_skipped", []string{"reason:skip_intra_host"}, 1)
I think it makes it more friendly to use this metric with a reason
tag, compare to having a separate metric for each case.
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return ipNet | ||
} | ||
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func Test_npCollectorImpl_shouldScheduleNetworkPathForConn_subnets(t *testing.T) { |
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Is seems that the new entries here can be included in Test_npCollectorImpl_shouldScheduleNetworkPathForConn
table tests no?
They are both testing the same function.
} | ||
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// GetVPCSubnetsForHost gets all the subnets in the VPCs this host has network interfaces for | ||
func GetVPCSubnetsForHost(ctx context.Context) ([]*net.IPNet, error) { |
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Could you unit test this?
@@ -98,3 +98,50 @@ func GetSubnetForHardwareAddr(ctx context.Context, hwAddr net.HardwareAddr) (sub | |||
subnet.Cidr = strings.TrimSpace(resp) | |||
return | |||
} | |||
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var vpcSubnetFetcher = cachedfetch.Fetcher{ |
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Could you unit test logic of this new code?
143d1d2
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) | ||
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const ( | ||
networkPathCollectorMetricPrefix = "datadog.network_path.collector." | ||
reverseDNSLookupMetricPrefix = networkPathCollectorMetricPrefix + "reverse_dns_lookup." | ||
reverseDNSLookupFailuresMetricName = reverseDNSLookupMetricPrefix + "failures" | ||
reverseDNSLookupSuccessesMetricName = reverseDNSLookupMetricPrefix + "successes" | ||
netpathConnsSkippedMetricName = networkPathCollectorMetricPrefix + "conns_skipped" |
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netpathConnsSkippedMetricName = networkPathCollectorMetricPrefix + "conns_skipped" | |
netpathConnsSkippedMetricName = networkPathCollectorMetricPrefix + "schedule.conns_skipped" |
To be consistent with:
datadog.network_path.collector.schedule.conns_received
What does this PR do?
This PR adds the config
network_path.collector.disable_intra_vpc_collection
which allows us to try disabling dynamic path traceroutes on intra-VPC connections. Currently only supports EC2.Motivation
Looking through our traceroute data, the majority of traceroutes come from jukebox, which is apparently a connectivity tester fabric uses. These traceroutes aren't useful because AWS handles the routing separately in a way that's invisible to traceroute - they are just a single hop.
Describe how you validated your changes
disable_intra_vpc_collection
turned off.a. If you curl the other server, it should traceroute that path as usual
disable_intra_vpc_collection
and restart the agenta. If you curl the other server, it should NOT traceroute it.
Additionally in the flare,
system-probe/vpc_subnets.log
should contain what subnets it found for the EC2 instance, for example:Possible Drawbacks / Trade-offs
Something was wrong with the deb build, it 404'd the /traceroute API for system-probe when I was testing this
Additional Notes