datadog-agent
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[CONTINT-3889] add common container registry config for admission controller
What does this PR do?
This PR adds a config to set a common container registry to be used by admission controller webhooks.
Motivation
The APM, CWS, and agent-sidecar webhooks in the admission controller have a “container_registry” option. It defaults to “gcr.io/datadoghq” in all cases:
-
admission_controller.auto_instrumentation.container_registry
-
admission_controller.cws_instrumentation.container_registry
-
admission_controller.agent_sidecar.container_registry
The goal is to define an option that applies to all of them (i.e. admission_controller.container_registry
) so it doesn’t need to be specified 3 times.
Additional Notes
- We don't remove the existing webhook-specific container registry config options in order to preserve backward compatibility.
- If a webhook wants to use a distinct container registry, it can define it is own config and use it instead of using the common container registry.
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Ensure that the following webhooks are still working even when registry is not set for each one of them:
- agent sidecar
- SSI
- CWS instrumentation
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 65b823a8-993b-40a9-aab7-705cdf7e1ffa Baseline: af00e79336597e0723c1e20dfe6eaf25a4e13e78 Comparison: 982e2dbf93dffc4a47becb924baffb1a98277ecf
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
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.
Experiments ignored for regressions
Regressions in experiments with settings containing erratic: true
are ignored.
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | file_to_blackhole | % cpu utilization | -1.62 | [-8.12, +4.89] |
Fine details of change detection per experiment
perf | experiment | goal | Δ mean % | Δ mean % CI |
---|---|---|---|---|
➖ | basic_py_check | % cpu utilization | +1.34 | [-0.87, +3.56] |
➖ | otel_to_otel_logs | ingress throughput | +0.68 | [+0.02, +1.34] |
➖ | process_agent_real_time_mode | memory utilization | +0.26 | [+0.23, +0.30] |
➖ | tcp_syslog_to_blackhole | ingress throughput | +0.22 | [+0.17, +0.28] |
➖ | idle | memory utilization | +0.18 | [+0.14, +0.21] |
➖ | process_agent_standard_check | memory utilization | +0.04 | [+0.01, +0.06] |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.00, +0.00] |
➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.00, +0.00] |
➖ | trace_agent_json | ingress throughput | -0.00 | [-0.03, +0.02] |
➖ | process_agent_standard_check_with_stats | memory utilization | -0.00 | [-0.03, +0.02] |
➖ | trace_agent_msgpack | ingress throughput | -0.01 | [-0.03, +0.01] |
➖ | file_tree | memory utilization | -0.08 | [-0.15, -0.00] |
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.41 | [-1.85, +1.04] |
➖ | file_to_blackhole | % cpu utilization | -1.62 | [-8.12, +4.89] |
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:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
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.
-
Its configuration does not mark it "erratic".
/merge
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