docs: revise README

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Masaki Yatsu
2025-11-12 15:01:32 +09:00
parent 88c762c3cf
commit 9ee15ab9f0

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@@ -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