Avoid looking up core agent hostname in tests that don't need it

[ajgajg1134]

What does this PR do?

Manually configure a hostname in tests that aren't testing the logic of hostname detection.

Motivation

My primary motivation here was to reduce flakes as this hostname detection can flake on creating the grpc connection to the core agent. I haven't yet determined why that can happen but in the interest of unskipping these couple tests and stopping additional flakes I've made this PR to avoid that flaky logic.

Secondarily there's a really nice time benefit here as every single test here that was trying to form a connection would block and wait for 2 seconds before erroring on the timeout. Now that the logic is skipped the tests in this package go from taking ~100 seconds to ~21 seconds on my local machine. This might result in some CI savings which is always nice :)

Describe how to test/QA your changes

N/A

Possible Drawbacks / Trade-offs

I still haven't determined exactly why this specific logic can flake so it's non ideal that it's still used for some tests, but seeing that this should be a strict improvement over the current state I think this is worth the change.

Additional Notes

[agent-platform-auto-pr]

Test changes on VM

Use this command from test-infra-definitions to manually test this PR changes on a VM:

inv create-vm --pipeline-id=49744161 --os-family=ubuntu

Note: This applies to commit 3d008ae

[cit-pr-commenter]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: cf15aaab-e73d-4807-9b0a-6deca7e9ac5d

Baseline: bd961d3
Comparison: 3d008ae
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	uds_dogstatsd_to_api_cpu	% cpu utilization	+2.23	[+1.49, +2.97]	1	Logs
➖	file_tree	memory utilization	+0.84	[+0.69, +0.98]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	+0.79	[+0.72, +0.85]	1	Logs
➖	file_to_blackhole_1000ms_latency_linear_load	egress throughput	+0.58	[+0.11, +1.04]	1	Logs
➖	quality_gate_idle	memory utilization	+0.13	[+0.06, +0.20]	1	Logs bounds checks dashboard
➖	file_to_blackhole_0ms_latency	egress throughput	+0.06	[-0.71, +0.82]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	+0.01	[-0.72, +0.75]	1	Logs
➖	file_to_blackhole_300ms_latency	egress throughput	+0.01	[-0.62, +0.63]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	+0.00	[-0.10, +0.10]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.00	[-0.01, +0.01]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.08	[-0.85, +0.70]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.20	[-0.97, +0.57]	1	Logs
➖	otel_to_otel_logs	ingress throughput	-0.72	[-1.40, -0.04]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	-1.17	[-1.32, -1.02]	1	Logs bounds checks dashboard
➖	basic_py_check	% cpu utilization	-2.21	[-6.11, +1.70]	1	Logs
➖	pycheck_lots_of_tags	% cpu utilization	-4.11	[-7.59, -0.62]	1	Logs

Bounds Checks: ✅ Passed

perf	experiment	bounds_check_name	replicates_passed	links
✅	file_to_blackhole_0ms_latency	lost_bytes	10/10
✅	file_to_blackhole_0ms_latency	memory_usage	10/10
✅	file_to_blackhole_1000ms_latency	memory_usage	10/10
✅	file_to_blackhole_1000ms_latency_linear_load	memory_usage	10/10
✅	file_to_blackhole_100ms_latency	lost_bytes	10/10
✅	file_to_blackhole_100ms_latency	memory_usage	10/10
✅	file_to_blackhole_300ms_latency	lost_bytes	10/10
✅	file_to_blackhole_300ms_latency	memory_usage	10/10
✅	file_to_blackhole_500ms_latency	lost_bytes	10/10
✅	file_to_blackhole_500ms_latency	memory_usage	10/10
✅	quality_gate_idle	memory_usage	10/10	bounds checks dashboard
✅	quality_gate_idle_all_features	memory_usage	10/10	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, bounds check memory_usage: 10/10 replicas passed. Gate passed.

[ajgajg1134]

/merge

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2024-11-22 18:14:22 UTC ℹ️ MergeQueue: pull request added to the queue

The median merge time in main is 23m.