[Serverless Mini Agent] Update Azure Resource Group Regex to Account for Windows

[duncanpharvey]

What does this PR do?

Updates regex that extracts the resource group to work on both Linux and Windows Azure Functions.

Motivation

Incorrect resource group extracted for Windows Azure Function.

Additional Notes

How to test the change?

• Build mini agent locally
• Deploy Azure Function with mini agent binary in root path
• Set DD_MINI_AGENT_PATH
  • Azure: /home/site/wwwroot/datadog-serverless-trace-mini-agent

[pr-commenter]

Benchmarks

Comparison

Parameters

	Baseline	Candidate
config	baseline	candidate
git_branch	main	duncan-harvey/azure-resource-group
git_commit_date	1719500719	1719510067
git_commit_sha	2d7534d	dc24adb
iterations	714.0	711.0

See matching parameters

	Baseline	Candidate
ci_job_date	1719510307	1719510307
ci_job_id	555434185	555434185
ci_pipeline_id	37762123	37762123
cpu_model	Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz

Summary

Found 0 performance improvements and 0 performance regressions! Performance is the same for 1 metrics, 0 unstable metrics.

Candidate

Candidate benchmark details

Group 1

iterations	config	cpu_model	ci_job_date	ci_job_id	ci_pipeline_id	git_commit_sha	git_commit_date	git_branch
711.0	candidate	Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1719510307	555434185	37762123	dc24adb	1719510067	duncan-harvey/azure-resource-group

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	70.248µs	70.349µs ± 0.049µs	70.344µs ± 0.026µs	70.373µs	70.436µs	70.459µs	70.486µs	0.20%	0.394	-0.037	0.07%	0.005µs	1	100

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[70.339µs; 70.359µs] or [-0.014%; +0.014%]	None	None	None

Warnings

Scenario: sql/obfuscate_sql_string, Metric: execution_time

Measurements are autocorrelated.

Autocorrelation is present for lags 1..10.

The measurements are not independent, thus confidence intervals
may be less precise.
---------------------------------------------------------------------------

Scenario: sql/obfuscate_sql_string, Metric: execution_time

Sample size is 100, which is lower than 105.

The minimal sample size in case of normal distribution to achieve significance
level of 0.05 for difference of means with effect size Cohen's d = 0.5 must be at
least 105.

The conclusions from confidence intervals may be invalid.
---------------------------------------------------------------------------

Baseline

Baseline benchmark details

Group 1

iterations	config	cpu_model	ci_job_date	ci_job_id	ci_pipeline_id	git_commit_sha	git_commit_date	git_branch
714.0	baseline	Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1719510307	555434185	37762123	2d7534d	1719500719	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	70.009µs	70.105µs ± 0.042µs	70.098µs ± 0.033µs	70.142µs	70.172µs	70.185µs	70.191µs	0.13%	0.064	-0.826	0.06%	0.004µs	1	100

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[70.096µs; 70.113µs] or [-0.012%; +0.012%]	None	None	None

Warnings

Scenario: sql/obfuscate_sql_string, Metric: execution_time

Measurements are autocorrelated.

Autocorrelation is present for lags 1..10.

The measurements are not independent, thus confidence intervals
may be less precise.
---------------------------------------------------------------------------

Scenario: sql/obfuscate_sql_string, Metric: execution_time

Sample size is 100, which is lower than 105.

The minimal sample size in case of normal distribution to achieve significance
level of 0.05 for difference of means with effect size Cohen's d = 0.5 must be at
least 105.

The conclusions from confidence intervals may be invalid.
---------------------------------------------------------------------------

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 70.37%. Comparing base (2d7534d) to head (dc24adb).

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #504      +/-   ##
==========================================
+ Coverage   70.35%   70.37%   +0.01%     
==========================================
  Files         204      204              
  Lines       27808    27824      +16     
==========================================
+ Hits        19565    19581      +16     
  Misses       8243     8243              

Components	Coverage Δ
crashtracker	16.70% <ø> (ø)
datadog-alloc	98.76% <ø> (ø)
data-pipeline	51.15% <ø> (ø)
data-pipeline-ffi	0.00% <ø> (ø)
ddcommon	86.10% <100.00%> (+0.13%)	⬆️
ddcommon-ffi	74.15% <ø> (ø)
ddtelemetry	59.37% <ø> (ø)
ipc	84.66% <ø> (ø)
profiling	78.63% <ø> (ø)
profiling-ffi	58.19% <ø> (ø)
serverless	0.00% <ø> (ø)
sidecar	36.19% <ø> (ø)
sidecar-ffi	0.00% <ø> (ø)
spawn-worker	54.98% <ø> (ø)
trace-mini-agent	69.70% <ø> (ø)
trace-normalization	97.79% <ø> (ø)
trace-obfuscation	95.75% <ø> (ø)
trace-protobuf	77.16% <ø> (ø)
trace-utils	91.21% <ø> (ø)