chore(deps): bump the docker-compose-dev group across 3 directories with 10 updates

[dependabot]

Bumps the docker-compose-dev group with 9 updates in the / directory:

Package	From	To
aerospike	ce-8.1.2.4_1	ce-8.1.2.4_1
cassandra	5	5
postgres	18	18
mssql/server	2025-latest	2025-latest
redis	8-alpine	8-alpine
valkey/valkey	9	9
elasticsearch	5	5
agent	latest	latest
datadog/dd-apm-test-agent/ddapm-test-agent	v1.64.1	v1.65.0

Bumps the docker-compose-dev group with 1 update in the /internal/apps directory: datadog/agent.
Bumps the docker-compose-dev group with 1 update in the /internal/apps/staleidle-soak directory: datadog/agent.

Updates aerospike from ce-8.1.2.4_1 to ce-8.1.2.4_1

Updates cassandra from 5 to 5

Updates postgres from 18 to 18

Updates mssql/server from 2025-latest to 2025-latest

Updates redis from 8-alpine to 8-alpine

Updates valkey/valkey from 9 to 9

Updates elasticsearch from 5 to 5

Updates agent from latest to latest

Changelog

Sourced from agent's changelog.

============= Release Notes

.. _Release Notes_7.82.2:

7.82.2

.. _Release Notes_7.82.2_Prelude:

Prelude

Released on: 2026-08-19

• Please refer to the 7.82.2 tag on integrations-core <https://github.com/DataDog/integrations-core/blob/master/AGENT_CHANGELOG.md#datadog-agent-version-7822>_ for the list of changes on the Core Checks

.. _Release Notes_7.82.2_New Features:

New Features

• When infrastructure_mode: end_user_device is set, the logon_duration feature is now enabled automatically, so operators no longer need to set logon_duration.enabled: true separately. This setting can still be overridden explicitly in the configuration file if needed.

.. _Release Notes_7.82.2_Enhancement Notes:

Enhancement Notes

• The Agent's embedded Python has been upgraded from 3.13.14 to 3.13.15

• Agents are now built with Go 1.26.6.

.. _Release Notes_7.82.2_Bug Fixes:

Bug Fixes

• APM: Raise the messagepack decoder allocation limit for the span meta_struct field to 10MiB, so large meta_struct entries (as written by LLM Observability) are no longer rejected by the package-wide 500,000 element limit. Other span fields keep the lower limit.

... (truncated)

Commits

• See full diff in compare view

Updates datadog/dd-apm-test-agent/ddapm-test-agent from v1.64.1 to v1.65.0

Updates datadog/agent from latest to latest

Updates datadog/agent from 7.82.0 to 7.82.2

Updates datadog/agent from 7.82.0 to 7.82.2

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[chatgpt-codex-connector]

💡 Codex Review

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Reviewed commit: 1d998399be

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• Comment "@codex review".

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[chatgpt-codex-connector]

Keep the soak harness on the customer's agent version

When any B.1–B.4 soak scenario is run, this now starts Agent 7.82.2 even though both the adjacent comment and internal/apps/staleidle-soak/README.md define the harness as an exact reproduction against the customer's 7.77.1 Agent. Agent receiver behavior can differ between those releases, so a passing run no longer validates the customer-specific APMS-19533 scenario; keep this fixture on 7.77.1 and exclude it from routine Dependabot version upgrades.

Useful? React with 👍 / 👎.

[datadog-official]

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 64.97% (-3.98%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 1d99839 | Docs | View more details | Give us feedback!}

[pr-commenter]

Benchmarks

Benchmark execution time: 2026-08-24 07:45:08

Comparing candidate commit 1d99839 in PR branch dependabot/docker_compose/docker-compose-dev-49d2e432e3 with baseline commit a4bdff1 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 335 metrics, 0 unstable metrics, 1 flaky benchmarks without significant changes.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

• 🟩 = significantly better candidate vs. baseline
• 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

Known flaky benchmarks

These benchmarks are marked as flaky and will not trigger a failure. Modify FLAKY_BENCHMARKS_REGEX to control which benchmarks are marked as flaky.

Known flaky benchmarks without significant changes:

• scenario:BenchmarkOTLPTraceWriterFlush