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DataDog / datadog-agent

Main repository for Datadog Agent
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Bump datadog-api-client from 2.25.0 to 2.26.0 in /test/e2e/cws-tests #27200

Closed dependabot[bot] closed 3 months ago

dependabot[bot] commented 3 months ago

Bumps datadog-api-client from 2.25.0 to 2.26.0.

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Sourced from datadog-api-client's releases.

2.26.0

What's Changed

Fixed

Added

Changed

New Contributors

Full Changelog: https://github.com/DataDog/datadog-api-client-python/compare/2.25.0...2.26.0

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Sourced from datadog-api-client's changelog.

2.26.0 / 2024-07-01

Fixed

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New Contributors

Full Changelog: https://github.com/DataDog/datadog-api-client-python/compare/2.25.0...2.26.0

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pr-commenter[bot] commented 3 months ago

Regression Detector

Regression Detector Results

Run ID: bcf6fc03-36c7-48d6-93d1-3840dfbf5b66 Metrics dashboard Target profiles

Baseline: 827a81b23dd401dac360c9f27ecfd7882d6b8e67 Comparison: 4cc5e98ddea0688876f5558299bb537068ec65f2

Performance changes are noted in the perf column of each table:

No significant changes in experiment optimization goals

Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

| perf | experiment | goal | Δ mean % | Δ mean % CI | links | |------|----------------------------|--------------------|----------|------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ➖ | tcp_syslog_to_blackhole | ingress throughput | +2.08 | [-10.92, +15.08] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_syslog_to_blackhole%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | basic_py_check | % cpu utilization | +0.93 | [-1.75, +3.61] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Abasic_py_check%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | otel_to_otel_logs | ingress throughput | +0.63 | [-0.18, +1.45] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aotel_to_otel_logs%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_dd_logs_filter_exclude%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.05 | [-0.93, +0.83] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api_cpu%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | idle | memory utilization | -0.44 | [-0.48, -0.40] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aidle%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | file_tree | memory utilization | -0.59 | [-0.64, -0.53] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_tree%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) | | ➖ | pycheck_1000_100byte_tags | % cpu utilization | -3.03 | [-7.69, +1.62] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Apycheck_1000_100byte_tags%20run_id%3Abcf6fc03-36c7-48d6-93d1-3840dfbf5b66&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719860165000&to_ts=1719871565000&live=false) |

Explanation

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".
paulcacheux commented 3 months ago

/merge

dd-devflow[bot] commented 3 months ago

:steam_locomotive: MergeQueue: waiting for PR to be ready

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dd-devflow[bot] commented 3 months ago

:steam_locomotive: MergeQueue: pull request added to the queue

The median merge time in main is 24m.

Use /merge -c to cancel this operation!