deploy-shinyproxy
关于
This skill deploys ShinyProxy to host multiple containerized Shiny applications behind a single entry point. It handles Docker deployment, configuration, authentication, and isolated container management for each app. Use it when you need per-app access control, usage tracking, and scalable deployment beyond single-app hosting.
快速安装
Claude Code
推荐npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/deploy-shinyproxy在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Deploy ShinyProxy
Deploy ShinyProxy to host multiple containerized Shiny applications with authentication and usage tracking.
When to Use
- Hosting multiple Shiny apps behind a single entry point
- Need per-app authentication and access control
- Deploying Shiny apps as isolated Docker containers
- Scaling beyond single-app deployment (shinyapps.io or standalone Docker)
- Requiring usage analytics and audit logging
Inputs
- Required: One or more Shiny apps to deploy
- Required: Server with Docker installed
- Optional: Authentication provider (LDAP, OpenID, social)
- Optional: Domain name and SSL certificate
- Optional: Container orchestrator (Docker or Kubernetes)
Procedure
Step 1: Create Shiny App Docker Images
Each Shiny app needs its own Docker image. Example Dockerfile for a Shiny app:
FROM rocker/shiny:4.5.0
RUN apt-get update && apt-get install -y \
libcurl4-openssl-dev \
libssl-dev \
&& rm -rf /var/lib/apt/lists/*
RUN R -e "install.packages(c('shiny', 'bslib', 'DT', 'dplyr'), \
repos='https://cloud.r-project.org/')"
COPY app/ /srv/shiny-server/app/
RUN chown -R shiny:shiny /srv/shiny-server/app
USER shiny
EXPOSE 3838
CMD ["R", "-e", "shiny::runApp('/srv/shiny-server/app', host='0.0.0.0', port=3838)"]
Build and test each app:
docker build -t myorg/dashboard:latest ./apps/dashboard/
docker run --rm -p 3838:3838 myorg/dashboard:latest
Got: Each Shiny app runs independently in its own container.
Step 2: Configure ShinyProxy
application.yml:
proxy:
title: "Shiny Applications"
port: 8080
container-backend: docker
docker:
internal-networking: true
authentication: simple
admin-groups: admins
users:
- name: admin
password: admin_password
groups: admins
- name: analyst
password: analyst_password
groups: users
specs:
- id: dashboard
display-name: "Analytics Dashboard"
description: "Interactive data analysis dashboard"
container-image: myorg/dashboard:latest
container-cmd: ["R", "-e", "shiny::runApp('/srv/shiny-server/app', host='0.0.0.0', port=3838)"]
container-network: shinyproxy-net
port: 3838
access-groups: [admins, users]
- id: report-builder
display-name: "Report Builder"
description: "Generate custom reports"
container-image: myorg/report-builder:latest
container-cmd: ["R", "-e", "shiny::runApp('/srv/shiny-server/app', host='0.0.0.0', port=3838)"]
container-network: shinyproxy-net
port: 3838
access-groups: [admins]
logging:
file:
name: /opt/shinyproxy/log/shinyproxy.log
server:
forward-headers-strategy: native
Step 3: Deploy ShinyProxy with Docker Compose
docker-compose.yml:
services:
shinyproxy:
image: openanalytics/shinyproxy:3.1.1
container_name: shinyproxy
ports:
- "8080:8080"
volumes:
- ./application.yml:/opt/shinyproxy/application.yml:ro
- /var/run/docker.sock:/var/run/docker.sock
- shinyproxy-logs:/opt/shinyproxy/log
networks:
- shinyproxy-net
restart: unless-stopped
networks:
shinyproxy-net:
name: shinyproxy-net
driver: bridge
volumes:
shinyproxy-logs:
# Create the network first (ShinyProxy spawns containers on this network)
docker network create shinyproxy-net
# Start ShinyProxy
docker compose up -d
# Check logs
docker compose logs -f shinyproxy
Got: ShinyProxy starts on port 8080, shows login page, and lists configured apps.
If fail: Check docker compose logs shinyproxy. Verify app images are available locally (docker images).
Step 4: Configure Authentication
Simple (built-in)
As shown in Step 2 with authentication: simple and inline users.
LDAP
proxy:
authentication: ldap
ldap:
url: ldap://ldap.example.com:389/dc=example,dc=com
manager-dn: cn=admin,dc=example,dc=com
manager-password: ldap_admin_password
user-search-base: ou=users
user-search-filter: (uid={0})
group-search-base: ou=groups
group-search-filter: (member={0})
OpenID Connect (Keycloak, Auth0, etc.)
proxy:
authentication: openid
openid:
auth-url: https://auth.example.com/realms/myrealm/protocol/openid-connect/auth
token-url: https://auth.example.com/realms/myrealm/protocol/openid-connect/token
jwks-url: https://auth.example.com/realms/myrealm/protocol/openid-connect/certs
client-id: shinyproxy
client-secret: your_client_secret
roles-claim: realm_access.roles
Step 5: Add Reverse Proxy with Nginx
For production, place Nginx in front of ShinyProxy:
map $http_upgrade $connection_upgrade {
default upgrade;
'' close;
}
server {
listen 443 ssl;
server_name shiny.example.com;
ssl_certificate /etc/letsencrypt/live/shiny.example.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/shiny.example.com/privkey.pem;
location / {
proxy_pass http://shinyproxy:8080;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection $connection_upgrade;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_read_timeout 600s;
proxy_buffering off;
}
}
WebSocket support is critical — ShinyProxy and Shiny use WebSockets heavily.
Step 6: Usage Tracking
ShinyProxy logs usage events to its log file. For structured tracking, configure InfluxDB:
proxy:
usage-stats-url: http://influxdb:8086/write?db=shinyproxy
usage-stats-username: shinyproxy
usage-stats-password: stats_password
Add InfluxDB to the compose stack:
services:
influxdb:
image: influxdb:1.8
environment:
INFLUXDB_DB: shinyproxy
INFLUXDB_ADMIN_USER: admin
INFLUXDB_ADMIN_PASSWORD: admin_password
volumes:
- influxdata:/var/lib/influxdb
networks:
- shinyproxy-net
volumes:
influxdata:
Step 7: App Resource Limits
specs:
- id: dashboard
container-image: myorg/dashboard:latest
container-memory-limit: 1g
container-cpu-limit: 1.0
max-instances: 5
container-env:
R_MAX_MEM_SIZE: 768m
Step 8: Verify Deployment
# Check ShinyProxy health
curl -s http://localhost:8080/actuator/health
# Test login
curl -s -c cookies.txt -d "username=admin&password=admin_password" \
http://localhost:8080/login
# List apps via API
curl -s -b cookies.txt http://localhost:8080/api/proxyspec
Got: Health endpoint returns UP. Login succeeds. Apps launch in isolated containers.
Validation
- ShinyProxy starts and shows login page
- Authentication works for all configured users
- Each Shiny app launches in its own container
- WebSocket connections work (Shiny reactivity functions)
- Access groups restrict app visibility correctly
- Container cleanup works when users disconnect
- Logs capture usage events
Pitfalls
- Docker socket permissions: ShinyProxy needs Docker socket access to launch containers. Run as a user in the
dockergroup or mount the socket. - Network mismatch: App containers must be on the same Docker network as ShinyProxy (
container-networkin specs must match). - WebSocket proxy: Nginx or other proxies in front of ShinyProxy must forward WebSocket upgrade headers.
- Image not found: App images must be pulled or built locally on the Docker host before ShinyProxy tries to use them.
- Container cleanup: If ShinyProxy crashes, orphaned app containers may remain. Use
docker psto check and clean up. - Memory limits: Shiny apps can consume significant memory. Set
container-memory-limitto prevent a single app from starving others.
Related Skills
deploy-shiny-app- single-app deployment to shinyapps.io, Posit Connect, or Dockerconfigure-reverse-proxy- reverse proxy patterns including WebSocket proxyingcreate-dockerfile- general Dockerfile creation for app imagescreate-r-dockerfile- R-specific Dockerfiles with rocker images
GitHub 仓库
相关推荐技能
railway-docs
文档Railway Docs Skill可实时获取最新的Railway官方文档,确保回答的准确性。当开发者询问Railway功能特性、工作原理或分享docs.railway.com链接时,应优先使用此技能。它通过专门的LLM优化文档源提供最新信息,避免依赖过时记忆来回答技术问题。
n8n-code-python
文档该Skill为在n8n平台的Python代码节点中编写代码提供专家指导,特别适用于需要使用_input/_json/_node语法、Python标准库或了解n8n中Python限制的场景。它强调JavaScript应作为首选方案,仅当需要特定Python功能或对Python语法更熟悉时才使用Python。Skill提供了快速入门模板和关键注意事项,帮助开发者在n8n中高效编写Python代码。
archon
文档Archon Skill为开发者提供了基于RAG的语义搜索和项目任务管理功能,可通过REST API访问知识库。它支持文档搜索、网站爬取、文件上传和版本控制,适用于技术文档查询和项目管理场景。首次使用时需要配置Archon主机地址,建议在处理外部文档时优先使用该Skill。
n8n-code-javascript
文档这个Skill为n8n工作流中的JavaScript代码节点提供专业指导,涵盖数据处理、HTTP请求和日期操作等核心场景。它详细解释了如何正确使用n8n特有的`$input`/`$json`语法、`$helpers`工具以及DateTime对象,并包含关键的错误排查和模式选择建议。开发者通过该Skill能快速掌握Code节点的正确返回格式、数据访问方法和常见陷阱解决方案。
