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Add Back Tags to Spans Sent from Serverless-Init #30813

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merged 2 commits into from
Nov 6, 2024

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duncanpharvey
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@duncanpharvey duncanpharvey commented Nov 6, 2024

What does this PR do?

Add back tags to spans sent from Serverless-Init.

Motivation

Regression introduced in #30743

Describe how to test/QA your changes

Build serverless-init test image from https://github.com/DataDog/datadog-lambda-extension/tree/main/scripts.

VERSION=1.0.0 ./build_serverless_init.sh
cp -r .layers/. ./scripts/bin/
docker build --build-arg="TARGET_ARCH=amd64" --platform linux/amd64 -f Dockerfile.serverless-init.build -t duncanacrtesting.azurecr.io/serverless-init-testing:1.0.0 .
docker push duncanacrtesting.azurecr.io/serverless-init-testing:1.0.0

Deploy to Azure Container Apps

az containerapp up \
  --name node-container-profiling \
  --resource-group duncan-harvey-rg \
  --ingress external \
  --target-port 8080 \
  --env-vars "DD_API_KEY=<api key>" \
             "DD_SITE=datadoghq.com" \
             "DD_TRACE_ENABLED=true" \
             "DD_LOGS_ENABLED=true" \
             "DD_PROFILING_ENABLED=true" \
             "DD_AZURE_SUBSCRIPTION_ID=<subscription_id>" \
             "DD_AZURE_RESOURCE_GROUP=<resource group>" \
             "DD_SERVICE=node-container-profiling" \
             "DD_ENV=dev" \
             "DD_VERSION=1.0.0" \
             "DD_LOG_LEVEL=debug" \
  --image duncanacrtesting.azurecr.io/azure-container-app-hello-world-node:1.0.0

Application Code

var express = require('express');
var app = express();

app.get('/', async function (req, res) {
  console.log('node testing');
  res.send('Hello Datadog!');
});

app.listen(8080, function () {
  console.log('Example app listening on port 8080!');
});

Dockerfile

FROM node:22
WORKDIR /app
COPY package*.json index.js ./
RUN npm install
EXPOSE 8080

COPY --from=duncanacrtesting.azurecr.io/serverless-init-testing:1.0.0 /datadog-init /app/datadog-init

RUN npm install --prefix /dd_tracer/node dd-trace --save
ENV NODE_PATH="/dd_tracer/node/node_modules"
ENV NODE_OPTIONS="--require dd-trace/init"
ENTRYPOINT ["/app/datadog-init"]

CMD ["node", "index.js"]

Possible Drawbacks / Trade-offs

Additional Notes

A fix that addressed a race condition when adding profile tags removed the addition of span tags.

@duncanpharvey duncanpharvey requested a review from a team as a code owner November 6, 2024 15:13
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Nov 6, 2024
@duncanpharvey duncanpharvey added team/serverless qa/done QA done before merge and regressions are covered by tests changelog/no-changelog labels Nov 6, 2024
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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 create-vm --pipeline-id=48358036 --os-family=ubuntu

Note: This applies to commit 8fcf323

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cit-pr-commenter bot commented Nov 6, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 0a87ea64-97cf-4243-a615-ca05adaf787c

Baseline: 8e0f134
Comparison: 8e0f134
Diff

Optimization Goals: ❌ Significant changes detected

perf experiment goal Δ mean % Δ mean % CI trials links
basic_py_check % cpu utilization +5.24 [+1.32, +9.15] 1 Logs

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
basic_py_check % cpu utilization +5.24 [+1.32, +9.15] 1 Logs
pycheck_lots_of_tags % cpu utilization +1.18 [-2.53, +4.89] 1 Logs
idle memory utilization +1.01 [+0.94, +1.07] 1 Logs bounds checks dashboard
tcp_syslog_to_blackhole ingress throughput +0.60 [+0.55, +0.66] 1 Logs
quality_gate_idle memory utilization +0.36 [+0.29, +0.42] 1 Logs bounds checks dashboard
file_to_blackhole_500ms_latency egress throughput +0.05 [-0.20, +0.30] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.01 [-0.48, +0.51] 1 Logs
file_to_blackhole_0ms_latency egress throughput +0.01 [-0.32, +0.35] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.00 [-0.10, +0.10] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.00 [-0.22, +0.22] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.02 [-0.20, +0.16] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -0.41 [-1.14, +0.33] 1 Logs
file_tree memory utilization -1.10 [-1.24, -0.96] 1 Logs
quality_gate_idle_all_features memory utilization -2.08 [-2.21, -1.95] 1 Logs bounds checks dashboard
idle_all_features memory utilization -2.22 [-2.36, -2.09] 1 Logs bounds checks dashboard

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
idle memory_usage 6/10 bounds checks dashboard
quality_gate_idle memory_usage 6/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 9/10 bounds checks dashboard
file_to_blackhole_0ms_latency memory_usage 10/10
file_to_blackhole_1000ms_latency memory_usage 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
idle_all_features 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".

@duncanpharvey
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/merge

@dd-devflow
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dd-devflow bot commented Nov 6, 2024

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 23m.

Use /merge -c to cancel this operation!

@dd-mergequeue dd-mergequeue bot merged commit 8e0f134 into main Nov 6, 2024
213 of 214 checks passed
@dd-mergequeue dd-mergequeue bot deleted the duncan-harvey/serverless-init-span-tags branch November 6, 2024 20:18
@github-actions github-actions bot added this to the 7.61.0 milestone Nov 6, 2024
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