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.
Scanned 9/3/2026
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---
name: deploy-shiny-app
description: >
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.
license: MIT
allowed-tools: Read Write Edit Bash Grep Glob
metadata:
author: Philipp Thoss
version: "1.0"
domain: shiny
complexity: basic
language: R
tags: shiny, deployment, shinyapps-io, posit-connect, docker, rsconnect
locale: de
source_locale: en
source_commit: 1d84967e5
fence_basis_commit: 1d84967e5
translator: "(untranslated stub)"
translation_date: "2026-08-11"
---
# Deploy Shiny App
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:
```r
# 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
```r
# 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):
```bash
# .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
```r
# 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`:
```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`:
```text
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:
```bash
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
```r
# 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
```r
# 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:
```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
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