Day 2

Workshop Git Repo

Materials

• Lab 2 - Docker

  • Part 1: Run Commands
  • Part 2: Debugging Containers
  • Part 3: Mapping Ports
  • Part 4: Mounting Data
  • Part 5: Building images interactively
  • Part 6: Building Shiny Server OS with Dockerfile

• Lab 3 - Data in Production

  • Part 1: Host API on Posit Connect
  • Part 2: Explore your API
  • Part 3: Plumber Examples
  • Part 4: Push-button deployment
  • Part 5: Programmatically access Connect

Graduated - DevOps expert
mattbixley/ubuntu_bixley
I made a docker image, I think it has a shiny app in it, need a pay rise

library(shiny)

# Define UI for application that draws a histogram
ui <- fluidPage(

    # Application title
    titlePanel("Old Faithful Geyser Data"),

    # Sidebar with a slider input for number of bins 
    sidebarLayout(
        sidebarPanel(
            sliderInput("bins",
                        "Number of bins:",
                        min = 1,
                        max = 50,
                        value = 30)
        ),

        # Show a plot of the generated distribution
        mainPanel(
           plotOutput("distPlot")
        )
    )
)

# Define server logic required to draw a histogram
server <- function(input, output) {

    output$distPlot <- renderPlot({
        # generate bins based on input$bins from ui.R
        x    <- faithful[, 2]
        bins <- seq(min(x), max(x), length.out = input$bins + 1)

        # draw the histogram with the specified number of bins
        hist(x, breaks = bins, col = 'darkgray', border = 'white',
             xlab = 'Waiting time to next eruption (in mins)',
             main = 'Histogram of waiting times')
    })
}

# Run the application 
shinyApp(ui = ui, server = server)

Shiny applications not supported in static R Markdown documents