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Remove local dd-trace-java benchmarks#11502

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Remove local dd-trace-java benchmarks#11502
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sarahchen6/remove-local-benchmarks

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@sarahchen6
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What Does This Do

Remove local dd-trace-java dacapo, load, startup benchmark definitions in favor of updated apm-sdks-benchmarks ones located in https://github.com/DataDog/apm-sdks-benchmarks/tree/main/.gitlab

Motivation

Clean up repo

Additional Notes

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Jira ticket: [PROJ-IDENT]

@sarahchen6 sarahchen6 added tag: no release notes Changes to exclude from release notes comp: tooling Build & Tooling labels May 29, 2026
@datadog-datadog-prod-us1-2
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datadog-datadog-prod-us1-2 Bot commented May 29, 2026

Pipelines

Fix all issues with BitsAI

⚠️ Warnings

🚦 1 Pipeline job failed

DataDog/apm-reliability/dd-trace-java | check_smoke 1/4   View in Datadog   GitLab

🔄 Retry job. This looks flaky and may succeed on retry. Could not read workspace metadata from /go/src/github.com/DataDog/apm-reliability/dd-trace-java/.gradle/caches/8.14.5/groovy-dsl/001ccff1ba101051da4f247fcc9dc23c/metadata.bin due to unexpected EOF.

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🔗 Commit SHA: 49b8e0b | Docs | Datadog PR Page | Give us feedback!

@dd-octo-sts
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dd-octo-sts Bot commented May 29, 2026

🟢 Java Benchmark SLOs — All performance SLOs passed

Suite Status
Startup 🟢 pass

SLO thresholds are defined here based on automatically generated metrics. A warning is raised when results are within 5% of the threshold.

PR vs. master results
Scenario Candidate master Δ (95% CI of mean)
startup:insecure-bank:iast:Agent 14.00 s 13.90 s [-0.3%; +1.7%] (no difference)
startup:insecure-bank:tracing:Agent 12.92 s 12.92 s [-1.3%; +1.2%] (no difference)
startup:petclinic:appsec:Agent 16.55 s 16.53 s [-1.4%; +1.6%] (no difference)
startup:petclinic:iast:Agent 16.60 s 16.67 s [-1.6%; +0.7%] (no difference)
startup:petclinic:profiling:Agent 16.50 s 16.49 s [-1.2%; +1.4%] (no difference)
startup:petclinic:tracing:Agent 15.77 s 16.07 s [-3.0%; -0.8%] (maybe better)

Commit: 49b8e0b4 · CI Pipeline · Benchmarking Platform UI


Load and DaCapo benchmarks can be triggered manually in the GitLab pipeline. Results will appear in the Benchmarking Platform UI after completion.

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