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buun-stack

A Kubernetes development stack for self-hosted environments, designed to run on a Linux machine in your home or office that you can access from anywhere via the internet.

📺 Watch the setup tutorial on YouTube | 📝 Read the detailed guide on Dev.to

Features

  • Kubernetes Distribution: k3s lightweight Kubernetes
  • Storage: Longhorn distributed block storage
  • Identity & Access: Keycloak for OIDC authentication
  • Secrets Management: HashiCorp Vault with External Secrets Operator
  • Database: PostgreSQL cluster
  • Object Storage: MinIO S3-compatible storage
  • Data Science: JupyterHub for collaborative notebooks
  • Analytics: Metabase for business intelligence and data visualization
  • Data Catalog: DataHub for metadata management and data discovery
  • Analytics Database: ClickHouse for high-performance analytics and data warehousing
  • Remote Access: Cloudflare Tunnel for secure internet connectivity
  • Automation: Just task runner with templated configurations

Quick Start

For detailed step-by-step instructions, see the Installation Guide.

  1. Clone and configure

    git clone https://github.com/buun-ch/buun-stack
    cd buun-stack
    mise install
    just env::setup
    
  2. Deploy cluster and services

    just k8s::install
    just longhorn::install
    just vault::install
    just postgres::install
    just keycloak::install
    
  3. Configure authentication

    just keycloak::create-realm
    just vault::setup-oidc-auth
    just keycloak::create-user
    just k8s::setup-oidc-auth
    

Core Components

k3s

Lightweight Kubernetes distribution optimized for edge computing and resource-constrained environments.

Longhorn

Enterprise-grade distributed storage system providing:

  • Highly available block storage
  • Backup and disaster recovery
  • No single point of failure
  • Support for NFS persistent volumes

HashiCorp Vault

Centralized secrets management offering:

  • Secure secret storage
  • Dynamic secrets generation
  • Encryption as a service
  • Integration with External Secrets Operator for automatic Kubernetes Secret synchronization

Keycloak

Open-source identity and access management providing:

  • Single Sign-On (SSO)
  • OIDC/OAuth2 authentication
  • User federation and identity brokering

PostgreSQL

Production-ready relational database for:

  • Keycloak data storage
  • Application databases
  • Vector similarity search with pgvector extension for AI/ML workloads

External Secrets Operator

Kubernetes operator for syncing secrets from external systems:

  • Automatically syncs secrets from Vault to Kubernetes Secrets
  • Supports multiple secret backends
  • Provides secure secret rotation and lifecycle management

MinIO

S3-compatible object storage system providing:

  • High-performance distributed object storage
  • AWS S3 API compatibility
  • Erasure coding for data protection
  • Multi-tenancy support

JupyterHub

Multi-user platform for interactive computing:

  • Collaborative Jupyter notebook environment
  • Integrated with Keycloak for OIDC authentication
  • Persistent storage for user workspaces
  • Support for multiple kernels and environments
  • Vault integration for secure secrets management

See JupyterHub Documentation for detailed setup and configuration.

Metabase

Business intelligence and data visualization platform:

  • Open-source analytics and dashboards
  • Interactive data exploration
  • PostgreSQL integration for data storage
  • Automated setup with Helm
  • Session management through Vault/External Secrets
  • Simplified deployment (no OIDC dependency)

Installation:

just metabase::install

Access Metabase at https://metabase.yourdomain.com and complete the initial setup wizard to create an admin account.

DataHub

Modern data catalog and metadata management platform:

  • Centralized data discovery and documentation
  • Data lineage tracking and impact analysis
  • Schema evolution monitoring
  • OIDC integration with Keycloak for secure access
  • Elasticsearch-powered search and indexing
  • Kafka-based real-time metadata streaming
  • PostgreSQL backend for metadata storage

Installation:

just datahub::install

⚠️ Resource Requirements: DataHub is resource-intensive, requiring approximately 4-5GB of RAM and 1+ CPU cores across multiple components (Elasticsearch, Kafka, Zookeeper, and DataHub services). Deployment typically takes 15-20 minutes to complete. Ensure your cluster has sufficient resources before installation.

Access DataHub at https://datahub.yourdomain.com and use "Sign in with SSO" to authenticate via Keycloak.

ClickHouse

High-performance columnar OLAP database for analytics and data warehousing:

  • Columnar storage for fast analytical queries
  • Real-time data ingestion and processing
  • Horizontal scaling for large datasets
  • SQL interface with advanced analytics functions
  • Integration with External Secrets for secure credential management
  • Support for various data formats (CSV, JSON, Parquet, etc.)

Installation:

just clickhouse::install

Access ClickHouse at https://clickhouse.yourdomain.com using the admin credentials stored in Vault.

Common Operations

User Management

Create additional users:

just keycloak::create-user

Add user to group:

just keycloak::add-user-to-group <username> <group>

Database Management

Create database:

just postgres::create-db <dbname>

Create database user:

just postgres::create-user <username>

Grant privileges:

just postgres::grant <dbname> <username>

Secret Management

Store secrets in Vault:

just vault::put <path> <key>=<value>

Retrieve secrets:

just vault::get <path> <field>

Remote Access

Once configured, you can access your cluster from anywhere:

# SSH access
ssh ssh.yourdomain.com

# Kubernetes API
kubectl --context yourpc-oidc get nodes

# Web interfaces
# Vault: https://vault.yourdomain.com
# Keycloak: https://auth.yourdomain.com
# Metabase: https://metabase.yourdomain.com

Customization

Adding Custom Recipes

You can extend buun-stack with your own Just recipes and services:

  1. Copy the example files:

    cp custom-example.just custom.just
    cp -r custom-example custom
    
  2. Use the custom recipes:

    # Install reddit-rss
    just custom::reddit-rss::install
    
    # Install Miniflux feed reader
    just custom::miniflux::install
    
  3. Create your own recipes:

Add new modules to the custom/ directory following the same pattern as the examples. Each module should have its own justfile with install, uninstall, and other relevant recipes.

The custom.just file is automatically imported by the main Justfile if it exists, allowing you to maintain your custom workflows separately from the core stack.

Troubleshooting

  • Check logs: kubectl logs -n <namespace> <pod-name>

License

MIT License - See LICENSE file for details

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