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>
<!-- Provide a brief summary of your changes -->
Implements automated database backup functionality with Google Cloud
Storage integration, including retention policies and MinIO support for
local development.
## Motivation and Context
<!-- Why is this change needed? What problem does it solve? -->
This change adds critical database backup capabilities to ensure data
durability and disaster recovery. The solution provides automated
backups with configurable retention policies and supports both
production (GCS) and development (MinIO) environments.
## How Has This Been Tested?
<!-- Have you tested this in a real application? Which scenarios were
tested? -->
- Tested backup creation and restoration with MinIO in local development
- Verified GCS bucket lifecycle policies for automatic deletion after 60
days
- Tested backup retention and cleanup logic
## Breaking Changes
<!-- Will users need to update their code or configurations? -->
No breaking changes. This is an additive feature that doesn't affect
existing functionality.
## 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)
- [x] 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
- [x] I have added or updated documentation as needed
## Additional context
<!-- Add any other context, implementation notes, or design decisions
-->
- Implements 60-day retention period for backups as a safety net
- Uses GCS lifecycle rules for automatic cleanup
- Includes MinIO setup instructions for local development testing
- Port-forwarding commands updated for consistency across documentation
- Fixes#184
Fixes#228
## Motivation and Context
See #19
## How Has This Been Tested?
- Run locally
- Run in docker compose
- Run infra in minikube
- Unit and integration tests all passing :)
## Breaking Changes
Yes: users will not be able to access any data they used to have in
custom mongodb. We are accepting this breaking change, given the
registry is in experimental development status.
## 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)
- [ ] New feature (non-breaking change which adds functionality)
- [x] 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
- [x] I have added or updated documentation as needed
## Additional context
I have not implemented connection pooling support for simplicity, and
because cloudnative-pg already provides built-in connection pooling with
pgBouncer so if we want it later we can switch to this endpoint easily.
