Deploy Shiny App

SkillCloud & infra

Deploy Shiny applications to shinyapps.io, Posit Connect, or Docker containers. Covers rsconnect configuration, manifest generation, Dockerfile creation, and deployment verification. Use when publishing a Shiny app for external or internal users, moving from local development to a hosted environment, containerizing a Shiny app for Kubernetes or Docker deployment, or setting up automated deployment pipelines.

Available today. Use it from your connected AI after setup.

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Then ask your AI: use the Deploy Shiny App skill

What this skill tells your AI

The instructions your AI receives, as published by pjt222/agent-almanac in skills/deploy-shiny-app/SKILL.md and read by ahel’s review.

Deploy a Shiny application to shinyapps.io, Posit Connect, or a Docker container.

When to Use

  • Publishing a Shiny app for external or internal users
  • Moving from local development to a hosted environment
  • Containerizing a Shiny app for Kubernetes or Docker deployment
  • Setting up automated deployment pipelines

Inputs

  • Required: Path to the Shiny application
  • Required: Deployment target (shinyapps.io, Posit Connect, or Docker)
  • Optional: Account name and token (for shinyapps.io/Connect)
  • Optional: Instance size preference
  • Optional: Custom domain or URL path

Procedure

Step 1: Prepare the Application

Ensure the app is self-contained and deployable:

# Check for missing dependencies
rsconnect::appDependencies("path/to/app")

# For golem apps, ensure DESCRIPTION lists all Imports
devtools::check()

# Verify the app runs cleanly
shiny::runApp("path/to/app")

Verify these files exist:

  • app.R (or ui.R + server.R)
  • renv.lock (recommended for reproducible deployments)
  • .Rprofile does NOT call mcptools::mcp_session() in production

Expected: App runs locally without errors and all dependencies are captured.

On failure: If appDependencies() reports missing packages, install them and update renv.lock. If the app uses system libraries (e.g., gdal, curl), note them for the Docker path.

Step 2a: Deploy to shinyapps.io

# One-time account setup
rsconnect::setAccountInfo(
  name = "your-account",
  token = Sys.getenv("SHINYAPPS_TOKEN"),
  secret = Sys.getenv("SHINYAPPS_SECRET")
)

# Deploy
rsconnect::deployApp(
  appDir = "path/to/app",
  appName = "my-app",
  appTitle = "My Application",
  account = "your-account",
  forceUpdate = TRUE
)

Store credentials in .Renviron (never in code):

# .Renviron
SHINYAPPS_TOKEN=your_token_here
SHINYAPPS_SECRET=your_secret_here

Expected: App deployed and accessible at https://your-account.shinyapps.io/my-app/.

On failure: If authentication fails, regenerate tokens at shinyapps.io dashboard > Account > Tokens. If package installation fails on the server, check that all packages are available on CRAN — shinyapps.io cannot install from GitHub by default.

Step 2b: Deploy to Posit Connect

# Register server (one-time)
rsconnect::addServer(
  url = "https://connect.example.com",
  name = "production"
)

# Authenticate (one-time)
rsconnect::connectApiUser(
  account = "your-username",
  server = "production",
  apiKey = Sys.getenv("CONNECT_API_KEY")
)

# Deploy
rsconnect::deployApp(
  appDir = "path/to/app",
  appName = "my-app",
  server = "production",
  account = "your-username"
)

Expected: App deployed and accessible on the Posit Connect instance.

On failure: If the server rejects the connection, verify the API key and server URL. If packages fail to install, check that Connect has access to the required repositories (CRAN, internal CRAN-like repos).

Step 2c: Deploy with Docker

Create a Dockerfile:

FROM rocker/shiny-verse:4.4.0

# Install system dependencies
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev \
    libssl-dev \
    libxml2-dev \
    && rm -rf /var/lib/apt/lists/*

# Install R packages
RUN R -e "install.packages(c('shiny', 'bslib', 'DT', 'plotly'))"

# Copy app
COPY . /srv/shiny-server/myapp/

# Configure Shiny Server
COPY shiny-server.conf /etc/shiny-server/shiny-server.conf

# Expose port
EXPOSE 3838

# Run
CMD ["/usr/bin/shiny-server"]

Create shiny-server.conf:

run_as shiny;

server {
  listen 3838;

  location / {
    site_dir /srv/shiny-server/myapp;
    log_dir /var/log/shiny-server;
    directory_index on;
  }
}

Build and run:

docker build -t myapp:latest .
docker run -p 3838:3838 myapp:latest

Expected: App accessible at http://localhost:3838.

On failure: If the build fails on package installation, add missing system libraries to the apt-get install line. If the app doesn't load, check Shiny Server logs: docker exec <container> cat /var/log/shiny-server/*.log.

Step 3: Verify Deployment

# Check the deployed URL responds
response <- httr::GET("https://your-app-url/")
httr::status_code(response)  # Should be 200

# For Docker
response <- httr::GET("http://localhost:3838/")
httr::status_code(response)

Manual verification checklist:

  1. App loads without errors
  2. All interactive elements respond
  3. Data connections work in the deployed environment
  4. Authentication/authorization works (if applicable)

Expected: App responds with HTTP 200 and all features work.

On failure: Check server logs for the specific deployment platform. Common issues: environment variables not set in production, database connections using localhost instead of production URLs, or file paths that only exist locally.

Step 4: Configure Monitoring (Optional)

shinyapps.io

Monitor via the dashboard at https://www.shinyapps.io/admin/#/applications.

Posit Connect
# Check deployment status via API
connectapi::connect(
  server = "https://connect.example.com",
  api_key = Sys.getenv("CONNECT_API_KEY")
)
Docker

Add health check to Dockerfile:

HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
  CMD curl -f http://localhost:3838/ || exit 1

Expected: Monitoring configured for the deployment target.

On failure: If health checks fail intermittently, increase timeout values. Shiny apps can be slow to respond during initial load.

Validation

  • App deploys without errors
  • Deployed URL responds with HTTP 200
  • All interactive features work in production
  • Environment variables/secrets are configured (not hardcoded)
  • Credentials stored in .Renviron or CI secrets, not in code
  • renv.lock committed for reproducible dependency resolution

Common Pitfalls

  • Hardcoded file paths: Replace absolute paths with system.file() (for package data) or environment variables (for external resources).
  • Development-only dependencies: Don't deploy .Rprofile that loads mcptools::mcp_session() or devtools. Use conditional loading or separate profiles.
  • Missing system libraries in Docker: R packages like sf, curl, and xml2 need system libraries. Add them to the Dockerfile's apt-get install.
  • CRAN-only packages on shinyapps.io: shinyapps.io only installs from CRAN by default. GitHub-only packages need the remotes package and explicit installation in the deployment.
  • Forgotten environment variables: Database credentials, API keys, and other secrets must be configured in the deployment environment separately from code.

Related Skills

  • scaffold-shiny-app — create app structure before deployment
  • create-r-dockerfile — detailed Docker configuration for R projects
  • setup-docker-compose — multi-container setups for Shiny with databases
  • setup-github-actions-ci — CI/CD including automated deployment
  • optimize-shiny-performance — performance tuning before deploying to production

Signals

GitHub stars
32
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
deploy-shiny-app
Source
github.com/pjt222/agent-almanac