Skip to content

Remove directory structure from readme #127

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
jland-redhat merged 1 commit into from
Oct 2, 2025
Merged

Remove directory structure from readme #127

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
26 changes: 1 addition & 25 deletions deployment/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,30 +14,6 @@ This guide provides instructions for deploying the MaaS Platform infrastructure
- KServe components are expected to be provided by ODH/RHOAI, not installed separately
- For non-ODH/RHOAI deployments, KServe can be optionally installed from `deployment/components/kserve`

## Deployment Structure

```
deployment/
├── base/ # Core infrastructure components
│ ├── maas-api/ # MaaS API deployment
│ ├── networking/ # Gateway API and Kuadrant
│ ├── policies/ # Gateway-level authentication and rate limiting policies
│ └── token-rate-limiting/ # Token-based rate limiting configuration
├── components/ # Optional components
│ ├── kserve/ # KServe config (only if not using ODH/RHOAI)
│ └── observability/ # Monitoring and observability
├── overlays/ # Platform-specific configurations
│ ├── openshift/ # OpenShift deployment
│ └── kubernetes/ # Standard Kubernetes deployment (experimental)
├── samples/ # Example model deployments
│ └── models/
│ ├── rbac/ # Shared RBAC for LLMInferenceService
│ ├── simulator/ # CPU-based test model (llm-d-inference-sim)
│ ├── facebook-opt-125m-cpu/ # CPU-based OPT-125M model
│ └── qwen3/ # GPU-based Qwen3 model
└── scripts/ # Installation utilities
```

## Quick Start

### Automated OpenShift Deployment (Recommended)
Expand Down Expand Up @@ -442,4 +418,4 @@ After deploying the infrastructure:

1. **Start the development environment**: See the main [README](../README.md) for frontend/backend setup
2. **Deploy additional models**: Check [samples/models](samples/models/) for more examples
3. **Configure monitoring**: Enable observability components in overlays
3. **Configure monitoring**: Enable observability components in overlays