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[ASCII-2567] propagate the tagger component when building the OTLP pipeline for serverless-init #31576

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merged 2 commits into from
Dec 10, 2024

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@GustavoCaso GustavoCaso commented Nov 28, 2024

What does this PR do?

Fixes #31126

While working on this PR #25711 we introduced the need to pass the tagger component to the serverless OTLP pipeline, but on the PR we passed nil https://github.com/DataDog/datadog-agent/pull/25711/files#diff-6296bd96f007b9b01a2fd59455063636a5c883ec02cc5ef72496b21d91031443R32

We got reports of that being an issue in production.

This PR fixes the issue, by passing the tagger component 😄

Motivation

Describe how to test/QA your changes

Possible Drawbacks / Trade-offs

Additional Notes

@GustavoCaso GustavoCaso requested review from a team as code owners November 28, 2024 16:26
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Nov 28, 2024
@GustavoCaso GustavoCaso added this to the 7.61.0 milestone Nov 28, 2024
@GustavoCaso GustavoCaso force-pushed the fix-nil-popinter-serverless-init branch from 6acded1 to 832aac9 Compare November 28, 2024 16:34
@GustavoCaso GustavoCaso changed the title propagate the tagger component when building the OTLP pipeline for serverless-init [ASCII-2567] propagate the tagger component when building the OTLP pipeline for serverless-init Nov 28, 2024
@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 Nov 28, 2024
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agent-platform-auto-pr bot commented Nov 28, 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=50728028 --os-family=ubuntu

Note: This applies to commit 2331c61

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cit-pr-commenter bot commented Nov 28, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 67864bf5-8531-4218-b79f-1a90b5cdc036

Baseline: 8d89378
Comparison: 2331c61
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
uds_dogstatsd_to_api_cpu % cpu utilization +0.77 [+0.04, +1.50] 1 Logs
file_tree memory utilization +0.77 [+0.64, +0.89] 1 Logs
otel_to_otel_logs ingress throughput +0.47 [-0.19, +1.14] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.40 [-0.38, +1.19] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.22 [+0.15, +0.29] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.10 [-0.63, +0.84] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.02 [-0.08, +0.12] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.00 [-0.94, +0.95] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.02, +0.01] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.05 [-0.83, +0.74] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.06 [-0.93, +0.81] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.10 [-0.56, +0.35] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.12 [-0.89, +0.64] 1 Logs
quality_gate_idle memory utilization -0.14 [-0.19, -0.10] 1 Logs bounds checks dashboard
file_to_blackhole_300ms_latency egress throughput -0.18 [-0.81, +0.46] 1 Logs
quality_gate_idle_all_features memory utilization -1.16 [-1.26, -1.06] 1 Logs bounds checks dashboard
quality_gate_logs % cpu utilization -4.50 [-7.37, -1.63] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_0ms_latency_http2 lost_bytes 7/10
file_to_blackhole_0ms_latency_http1 lost_bytes 8/10
file_to_blackhole_300ms_latency lost_bytes 9/10
file_to_blackhole_500ms_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 memory_usage 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 memory_usage 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 memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.

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Serverless Benchmark Results

BenchmarkStartEndInvocation comparison between 5ff3a47 and ff7d86d.

tl;dr

Use these benchmarks as an insight tool during development.

  1. Skim down the vs base column in each chart. If there is a ~, then there was no statistically significant change to the benchmark. Otherwise, ensure the estimated percent change is either negative or very small.

  2. The last row of each chart is the geomean. Ensure this percentage is either negative or very small.

What is this benchmarking?

The BenchmarkStartEndInvocation compares the amount of time it takes to call the start-invocation and end-invocation endpoints. For universal instrumentation languages (Dotnet, Golang, Java, Ruby), this represents the majority of the duration overhead added by our tracing layer.

The benchmark is run using a large variety of lambda request payloads. In the charts below, there is one row for each event payload type.

How do I interpret these charts?

The charts below comes from benchstat. They represent the statistical change in duration (sec/op), memory overhead (B/op), and allocations (allocs/op).

The benchstat docs explain how to interpret these charts.

Before the comparison table, we see common file-level configuration. If there are benchmarks with different configuration (for example, from different packages), benchstat will print separate tables for each configuration.

The table then compares the two input files for each benchmark. It shows the median and 95% confidence interval summaries for each benchmark before and after the change, and an A/B comparison under "vs base". ... The p-value measures how likely it is that any differences were due to random chance (i.e., noise). The "~" means benchstat did not detect a statistically significant difference between the two inputs. ...

Note that "statistically significant" is not the same as "large": with enough low-noise data, even very small changes can be distinguished from noise and considered statistically significant. It is, of course, generally easier to distinguish large changes from noise.

Finally, the last row of the table shows the geometric mean of each column, giving an overall picture of how the benchmarks changed. Proportional changes in the geomean reflect proportional changes in the benchmarks. For example, given n benchmarks, if sec/op for one of them increases by a factor of 2, then the sec/op geomean will increase by a factor of ⁿ√2.

I need more help

First off, do not worry if the benchmarks are failing. They are not tests. The intention is for them to be a tool for you to use during development.

If you would like a hand interpreting the results come chat with us in #serverless-agent in the internal DataDog slack or in #serverless in the public DataDog slack. We're happy to help!

Benchmark stats
goos: linux
goarch: amd64
pkg: github.com/DataDog/datadog-agent/pkg/serverless/daemon
cpu: AMD EPYC 7763 64-Core Processor                
                                      │ baseline/benchmark.log │        current/benchmark.log        │
                                      │         sec/op         │    sec/op     vs base               │
api-gateway-appsec.json                            86.03µ ± 3%    85.05µ ± 3%       ~ (p=0.190 n=10)
api-gateway-kong-appsec.json                       66.96µ ± 1%    66.51µ ± 2%       ~ (p=0.123 n=10)
api-gateway-kong.json                              64.22µ ± 1%    64.17µ ± 1%       ~ (p=0.754 n=10)
api-gateway-non-proxy-async.json                   100.1µ ± 1%    101.3µ ± 1%  +1.28% (p=0.015 n=10)
api-gateway-non-proxy.json                         99.66µ ± 1%   101.31µ ± 2%       ~ (p=0.052 n=10)
api-gateway-websocket-connect.json                 64.87µ ± 2%    66.32µ ± 2%  +2.23% (p=0.015 n=10)
api-gateway-websocket-default.json                 58.96µ ± 1%    59.27µ ± 2%       ~ (p=0.305 n=10)
api-gateway-websocket-disconnect.json              57.93µ ± 1%    58.42µ ± 1%       ~ (p=0.063 n=10)
api-gateway.json                                   106.6µ ± 2%    107.6µ ± 2%       ~ (p=0.393 n=10)
application-load-balancer.json                     58.09µ ± 1%    58.07µ ± 1%       ~ (p=0.971 n=10)
cloudfront.json                                    44.73µ ± 1%    44.57µ ± 2%       ~ (p=0.353 n=10)
cloudwatch-events.json                             37.73µ ± 1%    37.49µ ± 1%  -0.65% (p=0.050 n=10)
cloudwatch-logs.json                               60.88µ ± 1%    61.20µ ± 1%       ~ (p=0.280 n=10)
custom.json                                        32.29µ ± 1%    31.19µ ± 1%  -3.41% (p=0.000 n=10)
dynamodb.json                                      85.20µ ± 1%    85.44µ ± 1%       ~ (p=0.739 n=10)
empty.json                                         30.78µ ± 1%    29.66µ ± 1%  -3.64% (p=0.000 n=10)
eventbridge-custom.json                            46.72µ ± 1%    46.53µ ± 1%       ~ (p=0.353 n=10)
eventbridge-no-bus.json                            45.45µ ± 2%    44.79µ ± 1%  -1.47% (p=0.001 n=10)
eventbridge-no-timestamp.json                      45.87µ ± 1%    45.24µ ± 1%  -1.35% (p=0.003 n=10)
eventbridgesns.json                                59.86µ ± 1%    58.71µ ± 1%  -1.92% (p=0.000 n=10)
eventbridgesqs.json                                65.81µ ± 1%    64.28µ ± 1%  -2.32% (p=0.000 n=10)
http-api.json                                      65.93µ ± 1%    64.75µ ± 1%  -1.78% (p=0.000 n=10)
kinesis-batch.json                                 65.41µ ± 1%    64.16µ ± 1%  -1.91% (p=0.002 n=10)
kinesis.json                                       52.77µ ± 1%    51.87µ ± 1%  -1.70% (p=0.003 n=10)
s3.json                                            56.72µ ± 1%    55.82µ ± 1%  -1.58% (p=0.002 n=10)
sns-batch.json                                     84.10µ ± 2%    82.17µ ± 1%  -2.29% (p=0.000 n=10)
sns.json                                           62.82µ ± 1%    62.26µ ± 1%  -0.91% (p=0.003 n=10)
snssqs.json                                        104.6µ ± 1%    103.9µ ± 1%  -0.67% (p=0.043 n=10)
snssqs_no_dd_context.json                          95.88µ ± 1%    93.76µ ± 1%  -2.21% (p=0.000 n=10)
sqs-aws-header.json                                54.13µ ± 1%    53.11µ ± 1%  -1.90% (p=0.001 n=10)
sqs-batch.json                                     87.52µ ± 1%    85.02µ ± 2%  -2.86% (p=0.002 n=10)
sqs.json                                           65.45µ ± 1%    63.31µ ± 1%  -3.27% (p=0.000 n=10)
sqs_no_dd_context.json                             59.30µ ± 1%    58.02µ ± 1%  -2.17% (p=0.001 n=10)
stepfunction.json                                  42.53µ ± 0%    41.11µ ± 1%  -3.34% (p=0.000 n=10)
geomean                                            62.06µ         61.40µ       -1.06%

                                      │ baseline/benchmark.log │        current/benchmark.log        │
                                      │          B/op          │     B/op      vs base               │
api-gateway-appsec.json                           37.26Ki ± 0%   37.26Ki ± 0%       ~ (p=0.838 n=10)
api-gateway-kong-appsec.json                      26.90Ki ± 0%   26.90Ki ± 0%       ~ (p=0.589 n=10)
api-gateway-kong.json                             24.37Ki ± 0%   24.37Ki ± 0%       ~ (p=0.078 n=10)
api-gateway-non-proxy-async.json                  47.94Ki ± 0%   47.94Ki ± 0%  -0.01% (p=0.045 n=10)
api-gateway-non-proxy.json                        47.12Ki ± 0%   47.12Ki ± 0%       ~ (p=0.269 n=10)
api-gateway-websocket-connect.json                25.34Ki ± 0%   25.34Ki ± 0%       ~ (p=0.776 n=10)
api-gateway-websocket-default.json                21.23Ki ± 0%   21.23Ki ± 0%       ~ (p=0.725 n=10)
api-gateway-websocket-disconnect.json             20.99Ki ± 0%   20.99Ki ± 0%       ~ (p=0.355 n=10)
api-gateway.json                                  49.27Ki ± 0%   49.27Ki ± 0%       ~ (p=0.697 n=10)
application-load-balancer.json                    22.45Ki ± 0%   22.45Ki ± 0%       ~ (p=0.955 n=10)
cloudfront.json                                   17.44Ki ± 0%   17.44Ki ± 0%       ~ (p=0.498 n=10)
cloudwatch-events.json                            11.49Ki ± 0%   11.49Ki ± 0%       ~ (p=0.634 n=10)
cloudwatch-logs.json                              53.05Ki ± 0%   53.05Ki ± 0%       ~ (p=0.314 n=10)
custom.json                                       9.529Ki ± 0%   9.530Ki ± 0%       ~ (p=0.154 n=10)
dynamodb.json                                     40.30Ki ± 0%   40.30Ki ± 0%       ~ (p=0.236 n=10)
empty.json                                        9.068Ki ± 0%   9.068Ki ± 0%       ~ (p=0.616 n=10)
eventbridge-custom.json                           14.67Ki ± 0%   14.67Ki ± 0%       ~ (p=0.860 n=10)
eventbridge-no-bus.json                           13.64Ki ± 0%   13.63Ki ± 0%       ~ (p=0.913 n=10)
eventbridge-no-timestamp.json                     13.64Ki ± 0%   13.63Ki ± 0%       ~ (p=0.100 n=10)
eventbridgesns.json                               20.43Ki ± 0%   20.43Ki ± 0%       ~ (p=0.464 n=10)
eventbridgesqs.json                               24.56Ki ± 0%   24.56Ki ± 0%       ~ (p=0.152 n=10)
http-api.json                                     23.25Ki ± 0%   23.25Ki ± 0%       ~ (p=0.215 n=10)
kinesis-batch.json                                26.50Ki ± 0%   26.49Ki ± 0%  -0.01% (p=0.027 n=10)
kinesis.json                                      17.38Ki ± 0%   17.37Ki ± 0%  -0.02% (p=0.019 n=10)
s3.json                                           19.87Ki ± 0%   19.87Ki ± 0%       ~ (p=0.067 n=10)
sns-batch.json                                    39.08Ki ± 0%   39.07Ki ± 0%       ~ (p=0.336 n=10)
sns.json                                          24.49Ki ± 0%   24.49Ki ± 0%       ~ (p=0.170 n=10)
snssqs.json                                       52.68Ki ± 0%   52.68Ki ± 0%       ~ (p=0.774 n=10)
snssqs_no_dd_context.json                         46.44Ki ± 0%   46.44Ki ± 0%       ~ (p=0.169 n=10)
sqs-aws-header.json                               18.78Ki ± 0%   18.78Ki ± 0%       ~ (p=1.000 n=10)
sqs-batch.json                                    41.26Ki ± 0%   41.26Ki ± 0%       ~ (p=0.524 n=10)
sqs.json                                          25.39Ki ± 0%   25.39Ki ± 0%  -0.01% (p=0.010 n=10)
sqs_no_dd_context.json                            21.01Ki ± 0%   21.01Ki ± 0%       ~ (p=0.444 n=10)
stepfunction.json                                 13.51Ki ± 0%   13.51Ki ± 0%  -0.01% (p=0.031 n=10)
geomean                                           24.10Ki        24.10Ki       -0.00%

                                      │ baseline/benchmark.log │        current/benchmark.log        │
                                      │       allocs/op        │ allocs/op   vs base                 │
api-gateway-appsec.json                             630.0 ± 0%   630.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-kong-appsec.json                        488.0 ± 0%   488.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-kong.json                               466.0 ± 0%   466.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-non-proxy-async.json                    723.0 ± 0%   723.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-non-proxy.json                          713.0 ± 0%   713.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-websocket-connect.json                  451.0 ± 0%   451.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-websocket-default.json                  376.0 ± 0%   376.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway-websocket-disconnect.json               366.0 ± 0%   366.0 ± 0%       ~ (p=1.000 n=10) ¹
api-gateway.json                                    785.0 ± 0%   785.0 ± 0%       ~ (p=1.000 n=10) ¹
application-load-balancer.json                      350.0 ± 0%   350.0 ± 0%       ~ (p=1.000 n=10) ¹
cloudfront.json                                     281.0 ± 0%   281.0 ± 0%       ~ (p=1.000 n=10) ¹
cloudwatch-events.json                              218.0 ± 0%   218.0 ± 0%       ~ (p=1.000 n=10) ¹
cloudwatch-logs.json                                211.0 ± 0%   211.0 ± 0%       ~ (p=1.000 n=10) ¹
custom.json                                         166.0 ± 0%   166.0 ± 0%       ~ (p=1.000 n=10) ¹
dynamodb.json                                       582.0 ± 0%   582.0 ± 0%       ~ (p=1.000 n=10) ¹
empty.json                                          157.0 ± 0%   157.0 ± 0%       ~ (p=1.000 n=10) ¹
eventbridge-custom.json                             261.0 ± 0%   261.0 ± 0%       ~ (p=1.000 n=10) ¹
eventbridge-no-bus.json                             252.0 ± 0%   252.0 ± 0%       ~ (p=1.000 n=10) ¹
eventbridge-no-timestamp.json                       252.0 ± 0%   252.0 ± 0%       ~ (p=1.000 n=10) ¹
eventbridgesns.json                                 318.0 ± 0%   318.0 ± 0%       ~ (p=1.000 n=10) ¹
eventbridgesqs.json                                 358.0 ± 0%   358.0 ± 0%       ~ (p=1.000 n=10) ¹
http-api.json                                       424.0 ± 0%   424.0 ± 0%       ~ (p=1.000 n=10) ¹
kinesis-batch.json                                  383.0 ± 0%   383.0 ± 0%       ~ (p=1.000 n=10) ¹
kinesis.json                                        279.0 ± 0%   279.0 ± 0%       ~ (p=1.000 n=10) ¹
s3.json                                             351.0 ± 0%   351.0 ± 0%       ~ (p=1.000 n=10) ¹
sns-batch.json                                      465.0 ± 0%   465.0 ± 0%       ~ (p=1.000 n=10) ¹
sns.json                                            336.0 ± 0%   336.0 ± 0%       ~ (p=1.000 n=10) ¹
snssqs.json                                         460.0 ± 0%   460.0 ± 0%       ~ (p=1.000 n=10) ¹
snssqs_no_dd_context.json                           420.0 ± 0%   420.0 ± 0%       ~ (p=1.000 n=10) ¹
sqs-aws-header.json                                 276.0 ± 0%   276.0 ± 0%       ~ (p=1.000 n=10) ¹
sqs-batch.json                                      500.0 ± 0%   500.0 ± 0%       ~ (p=1.000 n=10) ¹
sqs.json                                            351.0 ± 0%   351.0 ± 0%       ~ (p=1.000 n=10) ¹
sqs_no_dd_context.json                              337.0 ± 0%   337.0 ± 0%       ~ (p=1.000 n=10) ¹
stepfunction.json                                   226.0 ± 0%   226.0 ± 0%       ~ (p=1.000 n=10) ¹
geomean                                             360.1        360.1       +0.00%
¹ all samples are equal

@GustavoCaso GustavoCaso added the qa/done QA done before merge and regressions are covered by tests label Dec 10, 2024
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Package size comparison

Comparison with ancestor 8d89378971e1074a64be7313c3bba7034a91fcc4

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 1270.67MB 1270.67MB 140.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.20MB 113.20MB 10.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.32MB 78.32MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 526.45MB 526.45MB 70.00MB
datadog-agent-x86_64-rpm 0.00MB 1279.91MB 1279.91MB 140.00MB
datadog-agent-x86_64-suse 0.00MB 1279.91MB 1279.91MB 140.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.26MB 113.26MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.26MB 113.26MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.40MB 78.40MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.40MB 78.40MB 10.00MB
datadog-agent-arm64-deb 0.00MB 1004.85MB 1004.85MB 140.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.67MB 108.67MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.59MB 55.59MB 10.00MB
datadog-agent-aarch64-rpm 0.00MB 1014.06MB 1014.06MB 140.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.74MB 108.74MB 10.00MB

Decision

✅ Passed

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/merge

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dd-devflow bot commented Dec 10, 2024

Devflow running: /merge

View all feedbacks in Devflow UI.


2024-12-10 17:39:06 UTC ℹ️ MergeQueue: pull request added to the queue

The median merge time in main is 24m.

@dd-mergequeue dd-mergequeue bot merged commit ea648f3 into main Dec 10, 2024
247 of 248 checks passed
@dd-mergequeue dd-mergequeue bot deleted the fix-nil-popinter-serverless-init branch December 10, 2024 18:00
@github-actions github-actions bot modified the milestones: 7.61.0, 7.62.0 Dec 10, 2024
github-actions bot pushed a commit to johntrogan/datadog-agent that referenced this pull request Dec 10, 2024
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[BUG] invalid memory address or nil pointer dereference / serverless-init / Open Telemetrie
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