docs: revise README
This commit is contained in:
23
README.md
23
README.md
@@ -41,8 +41,6 @@ A remotely accessible Kubernetes home lab with OIDC authentication. Build a mode
|
||||
### Data & Analytics (Optional)
|
||||
|
||||
- **[JupyterHub](https://jupyter.org/hub)**: Interactive computing with collaborative notebooks
|
||||
- **[MLflow](https://mlflow.org/)**: Machine learning lifecycle management with experiment tracking and model registry
|
||||
- **[KServe](https://kserve.github.io/)**: Model serving platform for deploying ML models on Kubernetes
|
||||
- **[Trino](https://trino.io/)**: Distributed SQL query engine for querying multiple data sources
|
||||
- **[Querybook](https://www.querybook.org/)**: Big data querying UI with notebook interface
|
||||
- **[ClickHouse](https://clickhouse.com/)**: High-performance columnar analytics database
|
||||
@@ -52,6 +50,15 @@ A remotely accessible Kubernetes home lab with OIDC authentication. Build a mode
|
||||
- **[Metabase](https://www.metabase.com/)**: Lightweight BI with simple configuration and clean, modern interface
|
||||
- **[DataHub](https://datahubproject.io/)**: Data catalog and metadata management
|
||||
|
||||
### Machine Learning (Optional)
|
||||
|
||||
- **[MLflow](https://mlflow.org/)**: Machine learning lifecycle management with experiment tracking and model registry
|
||||
- **[KServe](https://kserve.github.io/)**: Model serving platform for deploying ML models on Kubernetes
|
||||
|
||||
### LLM & AI Applications (Optional)
|
||||
|
||||
- **[Langfuse](https://langfuse.com/)**: LLM observability and analytics platform for tracking and debugging AI applications
|
||||
|
||||
### Orchestration (Optional)
|
||||
|
||||
- **[Dagster](https://dagster.io/)**: Modern data orchestration platform
|
||||
@@ -195,6 +202,17 @@ Model serving platform for deploying ML models on Kubernetes:
|
||||
|
||||
[📖 See KServe Documentation](./kserve/README.md)
|
||||
|
||||
### Langfuse
|
||||
|
||||
LLM observability and analytics platform:
|
||||
|
||||
- **Trace Tracking**: Monitor LLM calls, chains, and agent executions with detailed traces
|
||||
- **Prompt Management**: Version and test prompts with playground interface
|
||||
- **Analytics**: Track costs, latency, and token usage across all LLM applications
|
||||
- **Keycloak Authentication**: OAuth2 integration with automatic user provisioning
|
||||
|
||||
[📖 See Langfuse Documentation](./langfuse/README.md)
|
||||
|
||||
### Apache Superset
|
||||
|
||||
Modern business intelligence platform:
|
||||
@@ -427,6 +445,7 @@ kubectl --context yourpc-oidc get nodes
|
||||
# Airflow: https://airflow.yourdomain.com
|
||||
# JupyterHub: https://jupyter.yourdomain.com
|
||||
# MLflow: https://mlflow.yourdomain.com
|
||||
# Langfuse: https://langfuse.yourdomain.com
|
||||
```
|
||||
|
||||
## Customization
|
||||
|
||||
Reference in New Issue
Block a user