This includes infra setup for metrics collection and visualisation
## Motivation and Context
It is important to have basic observability setup, so that common issues
can be identified quickly
## How Has This Been Tested?
- Tested on local
- Tested on one of the production setup
## Breaking Changes
No
## Types of changes
<!-- What types of changes does your code introduce? Put an `x` in all
the boxes that apply: -->
- [ ] Bug fix (non-breaking change which fixes an issue)
- [X] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
## Checklist
<!-- Go over all the following points, and put an `x` in all the boxes
that apply. -->
- [X] I have read the [MCP
Documentation](https://modelcontextprotocol.io)
- [X] My code follows the repository's style guidelines
- [X] New and existing tests pass locally
- [X] I have added appropriate error handling
- [ ] I have added or updated documentation as needed
## Additional context
- This includes set up of following components:
- Victoriametrics single node cluster for storing metrics data with
persistent storage configuration for local and production env.
- Vmagent with target discovery for mcp-registry pods with scrape
interval of 30s.
- Grafana for visualising metrics and setting alerts.
- Datasource of victoriametrics is pre-configured as config map
- Persistent volume for basic configuration
- Sqlite for local and Postgres for production setup for storing
dashboard, alerts etc details
## Metrics in action
<img width="1422" height="666" alt="Screenshot 2025-08-31 at 4 35 28 AM"
src="https://github.com/user-attachments/assets/e54ce846-653c-4fa3-aa7a-fe277f0810e6"
/>
---------
Co-authored-by: Adam Jones <adamj@anthropic.com>
Co-authored-by: adam jones <adamj+git@anthropic.com>
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