feat(apim): Add implementation for azure apim

[TophrC-dd]

What Does This Do

This PR introduces the api-management inferred proxy spans to Azure. It leverages the existing inferred proxy span component. This works by looking for a magic value in one of the received headers.
APMSVLS-539

In the headers we also add metadata for Http Method, Path, Region and origin domain name.

Motivation

My motivation for this is have the java-tracer have feature parity with Node, Python and .Net that already support this inferred span.

Additional Notes

For testing I have setup a multi service distributed trace with another service upstream from the Api Management span.

[dd-octo-sts]

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[dd-octo-sts]

🟢 Java Benchmark SLOs — All performance SLOs passed

Suite	Status
Startup	🟢 pass

SLO thresholds are defined here based on automatically generated metrics. A warning is raised when results are within 5% of the threshold.

PR vs. master results

Scenario	Candidate	master	Δ (95% CI of mean)
startup:insecure-bank:iast:Agent	13.99 s	13.92 s	[-0.3%; +1.3%] (no difference)
startup:insecure-bank:tracing:Agent	12.88 s	12.94 s	[-1.2%; +0.2%] (no difference)
startup:petclinic:appsec:Agent	16.96 s	16.66 s	[+0.9%; +2.7%] (maybe worse)
startup:petclinic:iast:Agent	16.95 s	16.38 s	[-0.9%; +7.9%] (no difference)
startup:petclinic:profiling:Agent	16.79 s	16.86 s	[-1.4%; +0.7%] (no difference)
startup:petclinic:sca:Agent	16.84 s	16.75 s	[-0.5%; +1.6%] (no difference)
startup:petclinic:tracing:Agent	15.65 s	16.04 s	[-6.7%; +1.8%] (no difference)

Commit: 27db883b · CI Pipeline · Benchmarking Platform UI

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Load and DaCapo benchmarks can be triggered manually in the GitLab pipeline. Results will appear in the Benchmarking Platform UI after completion.

[jcstorms1]

LGTM 👍