Vlad/315 profiling release note

[vlad-scherbich]

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Summary

Customer-facing Reno fragment for profiling on 3.15 (GAP-02).

Test plan

• riot run reno validates fragment
• Merge with PR that lifts profiling native gate for 3.15

[pr-commenter]

Benchmarks

Benchmark execution time: 2026-07-23 14:13:01

Comparing candidate commit cae4330 in PR branch vlad/315-profiling-release-note with baseline commit 528a085 in branch main.

Found 0 performance improvements and 4 performance regressions! Performance is the same for 615 metrics, 10 unstable metrics.

scenario:iastaspects-index_aspect

• 🟥 execution_time [+16.599µs; +19.991µs] or [+12.359%; +14.884%]

scenario:iastaspectsospath-ospathbasename_aspect

• 🟥 execution_time [+58.634µs; +68.978µs] or [+13.312%; +15.661%]

scenario:iastaspectssplit-rsplit_aspect

• 🟥 execution_time [+12.007µs; +17.564µs] or [+7.704%; +11.270%]

scenario:telemetryaddmetric-1-count-metric-1-times

• 🟥 execution_time [+244.030ns; +282.748ns] or [+11.524%; +13.353%]

[cit-pr-commenter-54b7da]

Circular import analysis

⚠️ Existing circular imports

There are 33 circular imports that already exist on the base branch and have not been changed by this PR.

Show existing cycles (showing 5 of 33 shortest)

ddtrace.internal.datastreams -> ddtrace.internal.datastreams.kombu -> ddtrace.internal.datastreams
ddtrace.internal.datastreams -> ddtrace.internal.datastreams.google_cloud_pubsub -> ddtrace.internal.datastreams
ddtrace.internal.core -> ddtrace._trace.span -> ddtrace.internal.core
ddtrace.internal.datastreams -> ddtrace.internal.datastreams.kafka -> ddtrace.internal.datastreams
ddtrace.internal.datastreams -> ddtrace.internal.datastreams.botocore -> ddtrace.internal.datastreams

To see all cycles, download the cycles-base.json and cycles-pr.json artifacts from this CI job and run:

uv run --script scripts/import-analysis/cycles.py compare cycles-base.json cycles-pr.json

[cit-pr-commenter-54b7da]

Codeowners resolved as

releasenotes/notes/profiling-python315-support-5910a6a4e623716b.yaml    @DataDog/apm-python