logs/sds: support excluded keywords in SDS rules.

[remeh]

APR-199

What does this PR do?

Add support for "excluded keywords" when receiving an SDS rule configuration and creating the SDS scanner.

Describe how to test/QA your changes

• Run the Agent in an org with SDS
• Use a credit card rule and validate with included keywords and validate it is working as intended (both using "Use recommended keywords" and using a custom list keyword)
• Uncheck "Use recommended keywords" and remove all keywords from the "keyword dictionary" editbox
  • validate that when no excluded keywords (e.g. traceid) is around the matching value, the redaction happens
  • validate that when an excluded keywords is around the matching value, no redaction happens

[pr-commenter[bot]]

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=45019309 --os-family=ubuntu

Note: This applies to commit 04df4830

[pr-commenter[bot]]

Regression Detector

Regression Detector Results

Run ID: cb95a4b3-f1ed-4ac6-973b-b22605d880e1 Metrics dashboard Target profiles

Baseline: 42db7b3593a7f42460b22ac8c67716afec7db5d1 Comparison: 04df48307fb05dd1087ef233b45d1685de77583b

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.

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	idle	memory utilization	+0.54	[+0.49, +0.60]	1	Logs
➖	file_tree	memory utilization	+0.49	[+0.36, +0.63]	1	Logs
➖	pycheck_lots_of_tags	% cpu utilization	+0.36	[-2.12, +2.83]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	+0.22	[+0.17, +0.27]	1	Logs
➖	otel_to_otel_logs	ingress throughput	+0.01	[-0.80, +0.82]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	+0.01	[-0.08, +0.11]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	+0.00	[-0.01, +0.01]	1	Logs
➖	uds_dogstatsd_to_api_cpu	% cpu utilization	-0.32	[-1.05, +0.42]	1	Logs
➖	basic_py_check	% cpu utilization	-0.80	[-3.45, +1.85]	1	Logs

Bounds Checks

perf	experiment	bounds_check_name	replicates_passed
✅	idle	memory_usage	10/10

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".

[remeh]

/merge

[dd-devflow[bot]]

:steam_locomotive: MergeQueue: pull request added to the queue

The median merge time in main is 23m.

Use /merge -c to cancel this operation!