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[serverless] S3 Downstream Span Pointers #32060

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What does this PR do?

Adds span pointers to spans for Lambdas triggered by S3 putObject, copyObject, and completeMultipartUpload events. This change will affect the downstream case for Universal Instrumentation Lambda runtimes that still use the legacy Go agent (Java, .NET, Golang).

Span pointers are similar to Span Links, but for cases when it is impossible to pass the Trace ID and Span ID between the spans that need to be linked.

When the calculated hashes for the upstream and downstream lambdas match, the Datadog backend will automatically link the two traces together.

Screenshot 2024-12-10 at 2 17 55 PM Screenshot 2024-12-10 at 2 18 10 PM Screenshot 2024-12-10 at 2 18 29 PM Screenshot 2024-12-10 at 2 31 33 PM When clicking on the linked span, a new tab opens linking to the downstream Lambda function that was triggered by this S3 object update.

Motivation

Span pointers is a new feature being developed by the Serverless team. This feature already exists in Python & Node, and I'm working on adding it to universal instrumentation runtimes (.NET, Java, Golang).

Describe how you validated your changes

Mostly manual testing, but I also added unit tests.

To verify my changes, there are two ways.

Easy: Checkout this span, which is an upstream Lambda that makes all three S3 requests and triggers 3 separate downstream Lambda invocations. Therefore, the 3 span pointers should link to 3 different traces. Each downstream trace should point back to this span.

More thorough: Run this Lambda function (only on the serverless AWS account) with the event payload

{
  "shouldPutObject": false,
  "shouldCopyObject": false,
  "shouldMultipartUpload": false,
}

and change one of the bools to true. Check Datadog to ensure that the spans are properly linked.

I also added unit tests:

invoke test --targets=./pkg/serverless/invocationlifecycle

Possible Drawbacks / Trade-offs

Additional Notes

  • This handles the 'downstream' case, for Lambdas that are triggered S3 requests. I will have another PR in each tracer to handle the 'upstream' case. Java PR here
  • S3 and Dynamo are supported in Python+Node. I will soon open another PR in this tracer to add support for Dynamo.

@github-actions github-actions bot added the medium review PR review might take time label Dec 11, 2024
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agent-platform-auto-pr bot commented Dec 11, 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=51115769 --os-family=ubuntu

Note: This applies to commit f804396

@nhulston nhulston added the qa/done QA done before merge and regressions are covered by tests label Dec 11, 2024
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agent-platform-auto-pr bot commented Dec 11, 2024

Package size comparison

Comparison with ancestor 3627a74336d52b84b78d68514c3b53efa1063fd4

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 1265.73MB 1265.73MB 140.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.24MB 113.24MB 10.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.41MB 78.41MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 526.58MB 526.58MB 70.00MB
datadog-agent-x86_64-rpm 0.00MB 1274.97MB 1274.97MB 140.00MB
datadog-agent-x86_64-suse 0.00MB 1274.97MB 1274.97MB 140.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.31MB 113.31MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.31MB 113.31MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.49MB 78.49MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.49MB 78.49MB 10.00MB
datadog-agent-arm64-deb 0.00MB 1000.85MB 1000.85MB 140.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.72MB 108.72MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.65MB 55.65MB 10.00MB
datadog-agent-aarch64-rpm 0.00MB 1010.07MB 1010.07MB 140.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.79MB 108.79MB 10.00MB

Decision

✅ Passed

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cit-pr-commenter bot commented Dec 11, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 1c270cd7-9bcd-46b6-9a75-bca2e4743500

Baseline: c50e6cf
Comparison: f804396
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
quality_gate_idle_all_features memory utilization +1.69 [+1.58, +1.79] 1 Logs bounds checks dashboard
otel_to_otel_logs ingress throughput +0.96 [+0.22, +1.69] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization +0.66 [-0.07, +1.40] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.57 [+0.52, +0.63] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput +0.24 [-0.22, +0.70] 1 Logs
file_tree memory utilization +0.23 [+0.10, +0.35] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.10 [-0.60, +0.81] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.05 [-0.71, +0.81] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.01 [-0.84, +0.86] 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_300ms_latency egress throughput -0.03 [-0.66, +0.60] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.04 [-0.88, +0.81] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.05 [-0.89, +0.79] 1 Logs
quality_gate_idle memory utilization -0.33 [-0.37, -0.29] 1 Logs bounds checks dashboard
file_to_blackhole_1000ms_latency egress throughput -0.42 [-1.20, +0.36] 1 Logs
quality_gate_logs % cpu utilization -0.56 [-3.49, +2.36] 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_100ms_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 lost_bytes 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 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 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, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, 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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cit-pr-commenter bot commented Dec 13, 2024

Go Package Import Differences

Baseline: c50e6cf
Comparison: a7573a4

binaryosarchchange
serverlesslinuxamd64
+1, -0
+github.com/DataDog/datadog-agent/pkg/serverless/spanpointers
serverlesslinuxarm64
+1, -0
+github.com/DataDog/datadog-agent/pkg/serverless/spanpointers

@nhulston nhulston force-pushed the nicholas.hulston/s3-span-pointers branch from 5d9bc7b to f804396 Compare December 13, 2024 19:07
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Uncompressed package size comparison

Comparison with ancestor c50e6cfb5894f25cc6c18f0fdd1b982fbc93d77d

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 1268.86MB 1268.86MB 140.00MB
datadog-agent-x86_64-rpm 0.00MB 1278.10MB 1278.10MB 140.00MB
datadog-agent-x86_64-suse 0.00MB 1278.10MB 1278.10MB 140.00MB
datadog-agent-arm64-deb 0.00MB 1003.93MB 1003.93MB 140.00MB
datadog-agent-aarch64-rpm 0.00MB 1013.15MB 1013.15MB 140.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.52MB 78.52MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.59MB 78.59MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.59MB 78.59MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.74MB 55.74MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 505.42MB 505.42MB 70.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.28MB 113.28MB 10.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.35MB 113.35MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.35MB 113.35MB 10.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.76MB 108.76MB 10.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.83MB 108.83MB 10.00MB

Decision

✅ Passed

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Serverless Benchmark Results

BenchmarkStartEndInvocation comparison between a582565 and dbd9669.

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                            87.03µ ± 5%    87.67µ ± 3%        ~ (p=0.436 n=10)
api-gateway-kong-appsec.json                       66.23µ ± 2%    67.70µ ± 1%   +2.23% (p=0.000 n=10)
api-gateway-kong.json                              63.51µ ± 1%    65.05µ ± 3%   +2.44% (p=0.002 n=10)
api-gateway-non-proxy-async.json                   99.45µ ± 1%   100.97µ ± 2%   +1.54% (p=0.004 n=10)
api-gateway-non-proxy.json                         98.90µ ± 1%    99.69µ ± 1%        ~ (p=0.075 n=10)
api-gateway-websocket-connect.json                 63.71µ ± 3%    64.93µ ± 1%        ~ (p=0.052 n=10)
api-gateway-websocket-default.json                 58.43µ ± 2%    58.40µ ± 1%        ~ (p=0.971 n=10)
api-gateway-websocket-disconnect.json              56.79µ ± 2%    58.05µ ± 1%   +2.22% (p=0.002 n=10)
api-gateway.json                                   107.9µ ± 2%    107.1µ ± 2%        ~ (p=0.796 n=10)
application-load-balancer.json                     57.26µ ± 3%    58.00µ ± 1%        ~ (p=0.075 n=10)
cloudfront.json                                    42.72µ ± 3%    43.73µ ± 0%   +2.37% (p=0.019 n=10)
cloudwatch-events.json                             35.37µ ± 0%    37.57µ ± 3%   +6.24% (p=0.000 n=10)
cloudwatch-logs.json                               57.99µ ± 3%    59.52µ ± 2%   +2.63% (p=0.009 n=10)
custom.json                                        29.50µ ± 1%    31.12µ ± 1%   +5.50% (p=0.000 n=10)
dynamodb.json                                      84.20µ ± 3%    85.01µ ± 2%        ~ (p=0.143 n=10)
empty.json                                         29.29µ ± 1%    30.26µ ± 2%   +3.31% (p=0.000 n=10)
eventbridge-custom.json                            45.62µ ± 1%    45.99µ ± 1%   +0.81% (p=0.043 n=10)
eventbridge-no-bus.json                            43.34µ ± 2%    45.33µ ± 2%   +4.60% (p=0.000 n=10)
eventbridge-no-timestamp.json                      42.89µ ± 2%    45.30µ ± 2%   +5.64% (p=0.000 n=10)
eventbridgesns.json                                57.30µ ± 1%    59.03µ ± 1%   +3.03% (p=0.000 n=10)
eventbridgesqs.json                                63.38µ ± 1%    65.44µ ± 1%   +3.24% (p=0.000 n=10)
http-api.json                                      63.42µ ± 1%    65.57µ ± 1%   +3.39% (p=0.000 n=10)
kinesis-batch.json                                 64.35µ ± 1%    64.69µ ± 1%        ~ (p=0.393 n=10)
kinesis.json                                       51.37µ ± 1%    51.89µ ± 1%   +1.01% (p=0.005 n=10)
s3.json                                            54.80µ ± 2%    61.90µ ± 1%  +12.96% (p=0.000 n=10)
sns-batch.json                                     82.21µ ± 3%    82.86µ ± 2%        ~ (p=0.143 n=10)
sns.json                                           62.29µ ± 1%    62.85µ ± 0%   +0.90% (p=0.027 n=10)
snssqs.json                                        105.9µ ± 1%    104.6µ ± 1%        ~ (p=0.063 n=10)
snssqs_no_dd_context.json                          96.33µ ± 1%    96.29µ ± 1%        ~ (p=0.579 n=10)
sqs-aws-header.json                                53.48µ ± 1%    53.51µ ± 1%        ~ (p=0.739 n=10)
sqs-batch.json                                     86.72µ ± 1%    86.68µ ± 1%        ~ (p=0.971 n=10)
sqs.json                                           64.24µ ± 1%    64.55µ ± 1%        ~ (p=0.190 n=10)
sqs_no_dd_context.json                             58.87µ ± 1%    58.59µ ± 1%        ~ (p=0.912 n=10)
stepfunction.json                                  40.99µ ± 1%    41.28µ ± 2%        ~ (p=0.075 n=10)
geomean                                            60.58µ         61.81µ        +2.02%

                                      │ baseline/benchmark.log │        current/benchmark.log         │
                                      │          B/op          │     B/op      vs base                │
api-gateway-appsec.json                           37.26Ki ± 0%   37.32Ki ± 0%   +0.17% (p=0.000 n=10)
api-gateway-kong-appsec.json                      26.91Ki ± 0%   26.90Ki ± 0%        ~ (p=0.542 n=10)
api-gateway-kong.json                             24.37Ki ± 0%   24.37Ki ± 0%        ~ (p=0.616 n=10)
api-gateway-non-proxy-async.json                  47.94Ki ± 0%   48.00Ki ± 0%   +0.13% (p=0.000 n=10)
api-gateway-non-proxy.json                        47.11Ki ± 0%   47.17Ki ± 0%   +0.12% (p=0.000 n=10)
api-gateway-websocket-connect.json                25.34Ki ± 0%   25.37Ki ± 0%   +0.12% (p=0.000 n=10)
api-gateway-websocket-default.json                21.23Ki ± 0%   21.26Ki ± 0%   +0.16% (p=0.000 n=10)
api-gateway-websocket-disconnect.json             20.99Ki ± 0%   21.02Ki ± 0%   +0.15% (p=0.000 n=10)
api-gateway.json                                  49.26Ki ± 0%   49.27Ki ± 0%   +0.02% (p=0.000 n=10)
application-load-balancer.json                    22.45Ki ± 0%   23.39Ki ± 0%   +4.19% (p=0.000 n=10)
cloudfront.json                                   17.43Ki ± 0%   17.45Ki ± 0%   +0.09% (p=0.000 n=10)
cloudwatch-events.json                            11.49Ki ± 0%   11.52Ki ± 0%   +0.27% (p=0.000 n=10)
cloudwatch-logs.json                              53.05Ki ± 0%   53.05Ki ± 0%        ~ (p=0.101 n=10)
custom.json                                       9.528Ki ± 0%   9.544Ki ± 0%   +0.17% (p=0.000 n=10)
dynamodb.json                                     40.30Ki ± 0%   40.33Ki ± 0%   +0.08% (p=0.000 n=10)
empty.json                                        9.066Ki ± 0%   9.082Ki ± 0%   +0.17% (p=0.000 n=10)
eventbridge-custom.json                           14.67Ki ± 0%   14.67Ki ± 0%        ~ (p=0.208 n=10)
eventbridge-no-bus.json                           13.63Ki ± 0%   13.63Ki ± 0%        ~ (p=0.280 n=10)
eventbridge-no-timestamp.json                     13.63Ki ± 0%   13.63Ki ± 0%        ~ (p=0.908 n=10)
eventbridgesns.json                               20.43Ki ± 0%   20.46Ki ± 0%   +0.15% (p=0.000 n=10)
eventbridgesqs.json                               24.56Ki ± 0%   24.59Ki ± 0%   +0.13% (p=0.000 n=10)
http-api.json                                     23.25Ki ± 0%   23.31Ki ± 0%   +0.27% (p=0.000 n=10)
kinesis-batch.json                                26.49Ki ± 0%   26.53Ki ± 0%   +0.12% (p=0.000 n=10)
kinesis.json                                      17.37Ki ± 0%   17.41Ki ± 0%   +0.18% (p=0.000 n=10)
s3.json                                           19.87Ki ± 0%   22.92Ki ± 0%  +15.31% (p=0.000 n=10)
sns-batch.json                                    39.07Ki ± 0%   39.07Ki ± 0%        ~ (p=0.724 n=10)
sns.json                                          24.49Ki ± 0%   24.49Ki ± 0%        ~ (p=0.219 n=10)
snssqs.json                                       52.68Ki ± 0%   52.74Ki ± 0%   +0.12% (p=0.000 n=10)
snssqs_no_dd_context.json                         46.44Ki ± 0%   46.49Ki ± 0%   +0.13% (p=0.000 n=10)
sqs-aws-header.json                               18.78Ki ± 0%   18.79Ki ± 0%        ~ (p=0.159 n=10)
sqs-batch.json                                    41.26Ki ± 0%   41.26Ki ± 0%        ~ (p=0.360 n=10)
sqs.json                                          25.39Ki ± 0%   25.39Ki ± 0%   -0.01% (p=0.019 n=10)
sqs_no_dd_context.json                            21.01Ki ± 0%   21.04Ki ± 0%   +0.15% (p=0.000 n=10)
stepfunction.json                                 13.51Ki ± 0%   13.54Ki ± 0%   +0.23% (p=0.000 n=10)
geomean                                           24.10Ki        24.25Ki        +0.63%

                                      │ 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=0.474 n=10)
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%   351.0 ± 0%  +0.29% (p=0.000 n=10)
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%   375.0 ± 0%  +6.84% (p=0.000 n=10)
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        360.8       +0.20%
¹ all samples are equal

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medium review PR review might take time qa/done QA done before merge and regressions are covered by tests team/serverless
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