### Motivation and Context
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Please help reviewers and future users, providing the following
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1. Why is this change required?
2. What problem does it solve?
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We very recently added instrumentation to kernel functions:
https://github.com/microsoft/semantic-kernel/pull/8280. That PR added
logs and traces for observing a kernel function. This PR adds metrics
and modifies the telemetry sample app to show how to export metric
instruments to Application Insights.
### Description
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
1. Kernel function now produces metrics data for observability.
2. Add code to export metric instruments to the telemetry sample.
3. Add Google AI as a second service to the telemetry sample to show
case nested spans.
4. Mics optimizations.
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄
### Motivation and Context
<!-- Thank you for your contribution to the semantic-kernel repo!
Please help reviewers and future users, providing the following
information:
1. Why is this change required?
2. What problem does it solve?
3. What scenario does it contribute to?
4. If it fixes an open issue, please link to the issue here.
-->
It is essential to provide observability in Semantic Kernel so that
developers can monitor their applications built using SK.
### Description
<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->
1. Add instrumentation to kernel function (log and traces, metrics will
follow in the next PR).
2. Add a sample application that shows how to configure an application
to be monitored using Application Insights.
### Contribution Checklist
<!-- Before submitting this PR, please make sure: -->
- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄
Tao Chen