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Use registry.datadoghq.com for external image defaults#51160

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codex-registry-datadoghq-migration
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Use registry.datadoghq.com for external image defaults#51160
AliDatadog wants to merge 2 commits into
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codex-registry-datadoghq-migration

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@AliDatadog AliDatadog commented May 21, 2026

What

Update selected external image pull paths from gcr.io/datadoghq and Docker Hub datadog/* references to registry.datadoghq.com.

This covers Dockerfiles, example manifests, host-profiler compose, invoke base-image lookups, E2E framework default image repositories, fakeintake defaults, and selected E2E Helm/image values.

Why

These paths can cause builds, examples, or E2E tests to pull Datadog images from legacy public registry locations. Moving the selected references to registry.datadoghq.com keeps the external pull surface aligned with the current registry.

Scope

This intentionally does not change Agent runtime/admission-controller internals, Fleet installer registry fallback behavior, historical release notes, broad fixture expectations, local agent-dev defaults whose replacement tags were not consistently available, or SSI injection test defaults that still depend on the Agent's current gcr.io/datadoghq admission-controller registry.

Tracking

Validation

  • Verified introduced registry.datadoghq.com image manifests with crane manifest.
  • Verified tag listing works for dynamic Agent and Cluster Agent base-image lookup repositories with crane ls.
  • Ran git diff --check.
  • Ran dda inv test --module=test/new-e2e --targets=./tests/ssi --test-run-name=^$ --timeout=120 --verbose.
  • Pre-push hooks passed: go-mod-tidy, go-mod-replace, go-test, go-linter, and related repository hooks.

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@codex review

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datadog-prod-us1-5 Bot commented May 21, 2026

Pipelines

Fix all issues with BitsAI

⚠️ Warnings

🚦 4 Pipeline jobs failed

DataDog/datadog-agent | new-e2e-cws: [--run TestKindSuite]   View in Datadog   GitLab

🔄 Retry job. This looks flaky and may succeed on retry. 2 failed tests in TestKindSuite. Error: Received unexpected error: no log found; could not get file/default.policy ruleset_loaded event for host cws-e2e-kind-node-af37.

DataDog/datadog-agent | new-e2e-gpu: [--run TestGPUK8sSuiteUbuntu2204]   View in Datadog   GitLab

🔄 Retry job. This looks flaky and may succeed on retry. Failed to install 'kubectl' and 'go' due to connection timeouts while retrieving nonce from store.

DataDog/datadog-agent | new-e2e-ha-agent-failover   View in Datadog   GitLab

🛟 This job is unlikely to succeed on retry. Please review your pipeline configuration. Connection refused when attempting to reach the agent's metadata and status endpoints.

View all 4 failed jobs.

ℹ️ Info

🎯 Code Coverage (details)
Patch Coverage: 100.00%
Overall Coverage: 50.32% (-0.01%)

Useful? React with 👍 / 👎

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 66a62a5 | Docs | Datadog PR Page | Give us feedback!

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Codex Review: Didn't find any major issues. Another round soon, please!

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dd-octo-sts Bot commented May 21, 2026

Files inventory check summary

File checks results against ancestor 692b0a81:

Results for datadog-agent_7.81.0~devel.git.141.66a62a5.pipeline.114499452-1_amd64.deb:

No change detected

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dd-octo-sts Bot commented May 21, 2026

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor 692b0a8
📊 Static Quality Gates Dashboard
🔗 SQG Job

32 successful checks with minimal change (< 2 KiB)
Quality gate Current Size
agent_deb_amd64 745.208 MiB
agent_deb_amd64_fips 702.967 MiB
agent_heroku_amd64 310.165 MiB
agent_rpm_amd64 745.192 MiB
agent_rpm_amd64_fips 702.950 MiB
agent_rpm_arm64 722.751 MiB
agent_rpm_arm64_fips 683.679 MiB
agent_suse_amd64 745.192 MiB
agent_suse_amd64_fips 702.950 MiB
agent_suse_arm64 722.751 MiB
agent_suse_arm64_fips 683.679 MiB
docker_agent_amd64 805.349 MiB
docker_agent_arm64 807.730 MiB
docker_agent_jmx_amd64 996.269 MiB
docker_agent_jmx_arm64 987.428 MiB
docker_cluster_agent_amd64 206.995 MiB
docker_cluster_agent_arm64 220.952 MiB
docker_cws_instrumentation_amd64 7.154 MiB
docker_cws_instrumentation_arm64 6.689 MiB
docker_dogstatsd_amd64 39.487 MiB
docker_dogstatsd_arm64 37.690 MiB
docker_host_profiler_amd64 302.187 MiB
docker_host_profiler_arm64 313.675 MiB
dogstatsd_deb_amd64 30.143 MiB
dogstatsd_deb_arm64 28.268 MiB
dogstatsd_rpm_amd64 30.143 MiB
dogstatsd_suse_amd64 30.143 MiB
iot_agent_deb_amd64 44.578 MiB
iot_agent_deb_arm64 41.535 MiB
iot_agent_deb_armhf 42.243 MiB
iot_agent_rpm_amd64 44.578 MiB
iot_agent_suse_amd64 44.578 MiB

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cit-pr-commenter-54b7da Bot commented May 21, 2026

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 1b8bbe6c-cd89-485f-a9a9-d394da4f1961

Baseline: 692b0a8
Comparison: 66a62a5
Diff

Optimization Goals: ✅ No significant changes detected

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf experiment goal Δ mean % Δ mean % CI trials links
docker_containers_cpu % cpu utilization +0.95 [-1.98, +3.89] 1 Logs

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
docker_containers_cpu % cpu utilization +0.95 [-1.98, +3.89] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.65 [+0.48, +0.81] 1 Logs
ddot_metrics_sum_delta memory utilization +0.10 [-0.09, +0.29] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.02 [-0.42, +0.45] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.01 [-0.09, +0.10] 1 Logs
uds_dogstatsd_to_api_v3 ingress throughput +0.00 [-0.19, +0.20] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.00 [-0.21, +0.20] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.01 [-0.40, +0.38] 1 Logs
file_tree memory utilization -0.05 [-0.09, -0.01] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.05 [-0.55, +0.45] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.08 [-0.22, +0.06] 1 Logs
ddot_metrics memory utilization -0.09 [-0.29, +0.11] 1 Logs
ddot_metrics_sum_cumulative memory utilization -0.18 [-0.34, -0.02] 1 Logs
otlp_ingest_logs memory utilization -0.25 [-0.35, -0.15] 1 Logs
otlp_ingest_metrics memory utilization -0.31 [-0.46, -0.16] 1 Logs
quality_gate_idle_all_features memory utilization -0.34 [-0.40, -0.27] 1 Logs bounds checks dashboard
uds_dogstatsd_20mb_12k_contexts_20_senders memory utilization -0.35 [-0.40, -0.30] 1 Logs
ddot_logs memory utilization -0.38 [-0.44, -0.31] 1 Logs
quality_gate_metrics_logs memory utilization -0.47 [-0.72, -0.23] 1 Logs bounds checks dashboard
quality_gate_idle memory utilization -0.49 [-0.54, -0.44] 1 Logs bounds checks dashboard
ddot_metrics_sum_cumulativetodelta_exporter memory utilization -0.51 [-0.74, -0.27] 1 Logs
quality_gate_logs % cpu utilization -0.74 [-1.74, +0.26] 1 Logs bounds checks dashboard
docker_containers_memory memory utilization -1.68 [-1.86, -1.50] 1 Logs

Bounds Checks: ✅ Passed

perf experiment bounds_check_name replicates_passed observed_value links
docker_containers_cpu simple_check_run 10/10 725 ≥ 26
docker_containers_memory memory_usage 10/10 246.75MiB ≤ 370MiB
docker_containers_memory simple_check_run 10/10 715 ≥ 26
file_to_blackhole_0ms_latency memory_usage 10/10 0.17GiB ≤ 1.20GiB
file_to_blackhole_0ms_latency missed_bytes 10/10 0B = 0B
file_to_blackhole_1000ms_latency memory_usage 10/10 0.20GiB ≤ 1.20GiB
file_to_blackhole_1000ms_latency missed_bytes 10/10 0B = 0B
file_to_blackhole_100ms_latency memory_usage 10/10 0.17GiB ≤ 1.20GiB
file_to_blackhole_100ms_latency missed_bytes 10/10 0B = 0B
file_to_blackhole_500ms_latency memory_usage 10/10 0.18GiB ≤ 1.20GiB
file_to_blackhole_500ms_latency missed_bytes 10/10 0B = 0B
quality_gate_idle intake_connections 10/10 3 ≤ 4 bounds checks dashboard
quality_gate_idle memory_usage 10/10 142.25MiB ≤ 147MiB bounds checks dashboard
quality_gate_idle total_bytes_received 10/10 739.42KiB ≤ 819.20KiB bounds checks dashboard
quality_gate_idle_all_features intake_connections 10/10 2 ≤ 4 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 426.21MiB ≤ 495MiB bounds checks dashboard
quality_gate_idle_all_features total_bytes_received 10/10 1.12MiB ≤ 1.25MiB bounds checks dashboard
quality_gate_logs intake_connections 10/10 3 ≤ 6 bounds checks dashboard
quality_gate_logs memory_usage 10/10 177.74MiB ≤ 195MiB bounds checks dashboard
quality_gate_logs missed_bytes 10/10 0B = 0B bounds checks dashboard
quality_gate_logs total_bytes_received 10/10 264.31MiB ≤ 292MiB bounds checks dashboard
quality_gate_metrics_logs cpu_usage 10/10 339.82 ≤ 2000 bounds checks dashboard
quality_gate_metrics_logs intake_connections 10/10 4 ≤ 6 bounds checks dashboard
quality_gate_metrics_logs memory_usage 10/10 377.53MiB ≤ 430MiB bounds checks dashboard
quality_gate_metrics_logs missed_bytes 10/10 0B = 0B bounds checks dashboard
quality_gate_metrics_logs total_bytes_received 10/10 0.94GiB ≤ 1.04GiB bounds checks dashboard

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_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.

@AliDatadog AliDatadog added team/agent-delivery qa/no-code-change No code change in Agent code requiring validation changelog/no-changelog No changelog entry needed labels May 21, 2026 — with ChatGPT Codex Connector
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Codex Review: Didn't find any major issues. Chef's kiss.

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